Caroline Grey, Co-Founder and CRO, Treefera, explores how better visibility is fixing blind spots

The world is getting noisier. Climate volatility, environmental degradation and political instability are increasing both the number and the severity of disturbances that ripple through supply chains. With each disturbance, new complexities arise from new variables, like soil health and rainfall shifts, regulatory changes and geopolitical friction. These variables compound into an opaque risk ecosystem.

The unfortunate reality is that traditional data collection methods, aimed at managing supply chains and reducing risks across the all-important first mile, now can’t keep up in this challenging environment. Manual data collection or static surveys can’t process this rising tide of complexity fast enough to inform decisions, meaning businesses don’t have access to critical information. The result? Without this primary data, businesses are “flying blind,” which means they don’t have control over their supply chain operational performance, thus impacting revenue.

Technology plays a crucial role in quietening the noise, restoring clarity and providing leaders with the insights needed to improve supply chain resilience. We’re already seeing that satellite imagery, drone information and ground truth data can all be elevated using AI agents, allowing businesses to make better decisions.

The first-mile challenge

Today, 60% of business costs and risks occur within the first mile of logistical supply chains, meaning poor management of risk in these sourcing regions can directly impact business success. At the same time, regulatory pressure and requirements are growing, with the impending EUDR and EU omnibus legislation. Businesses need to have access to the right processes and technology solutions to ensure compliance.

For the EUDR, this means that any business that operates within, or sells to, Europe will need to ensure no deforestation occurs within their supply chain. They will also need to backdate evidence from as far back 2020. While timelines for this regulation remain uncertain, acting now to prepare for compliance should be a business priority today.

Given the scale of first-mile risk, visibility is essential to build resilience. This can only be done by leaning into the right mix of technologies, including the smart use of AI to generate insights that allow for greater, better-informed decision-making. AI allows us to abstract complexity – leveraging the massive acceleration in the capabilities of satellites over the past 10 years and turning disparate and disconnected data into actionable insights at global scale and near-instant speed.

AI-nativity needs to be the first step

While the entire supply chain can be opaque, the first mile has historically been hardest to manage, with information about sourcing regions and commodity origins often fragmented, remote and expensive. Businesses need access to insightful data that uncovers what’s really happening on the ground.

Data governs the flow of capital, and the quality of this data can equip enterprises with the ability to scope out and invest in appropriate sourcing options. Satellites, drones and ground truth data help with this, but only to a point – they provide surface level information without the depth of insight necessary for action.

AI-enabled data systems make it possible to track first-mile activity in real time. These tools translate raw, real-world data into scalable insights that decision makers can act on. They can also be tailored to specific business needs – from monitoring particular geographies to aligning with the compliance frameworks that matter most.

How does this work in practice? Take a large brand sourcing cocoa in Madagascar, for example, which needs to assess the risks posed by deforestation in order to meet EUDR standards. By utilising AI and satellite technology, they can map their entire supply chain to assess deforestation, tenure and labour risks, while producing automated DDS (Due Diligence Statement) reports ready to be submitted to the EU.

Agentic AI is the enabler here, synthesising complex and vast real-world datasets into expert-grade insights that are accessible at speed and scale. AI agents build on traditional AI models through autonomy and comprehensive self-learning mechanisms. Ultimately, this technology supports businesses in understanding the risk landscape within the first mile. And when incorporated into models that include regulatory and compliance frameworks, businesses can manage accountability and maintain their governance commitments.

Building deep insights from historic blind spots

The factors that affect global supply chains show no sign of slowing down – it’s time for businesses to take a different approach to risk identification and management, especially within the first mile. By ensuring access to accurate, scalable data and utilising real-time monitoring, businesses are laying the foundation for unwavering supply chain resilience.

For the C-Suite, the stakes are clear: revenue security and enterprise value now hinge on visibility at the first mile. In a world of climate shocks, political instability and regulatory pressure, legible supply chain data is no longer a technical nice-to-have; it is the foundation for protecting continuity, defending margins and sustaining growth over the long term.

  • Digital Supply Chain

The CRO of Kallikor discusses how supply chain professionals can become more proactive and less reactive

Poor alignment of strategy to execution plans across supply chain operations coupled to a continuous mix of internal and external disruptions are leading to a culture of constant firefighting. Last-minute fixes and costly reactive changes to address even small bottlenecks are eroding margins and confidence at the top. And, for CEOs and CFOs, this short-term mindset in the operation leaves them incapable of making confident growth bets for the future.

Instead, decision-makers need a way to shift from firefighting to foresight, with access to a safe virtual environment that enables testing of long-term strategies, quantifying the impact of even the smallest changes and aligning decisions across finance, commercial, logistics and supply chain operations.

Starting anywhere

No more reactive, day-to-day problem solving to deal with demand changes or external factors. Instead, leaders can use composable simulation to target the real pressure points that constrain growth – whether that’s in-store operations, warehouse flows, transport strategy or outdated inventory policies. By tackling the bottlenecks that matter most, businesses gain the agility to act decisively.


With a joined-up model spanning areas of operation, changes in one domain which impact adjacent processes can be modelled together – avoiding greedy optimisation which favours one function, landing additional costs elsewhere in the business. Those might include warehouse design, store operations or network flow, with the power to move seamlessly between but balance the needs of different areas as needed. That flexibility gives executives the foresight to direct resources where they’ll unlock future growth, not just satisfy immediate local operational challenges.

From composability to adaptability

Composability is crucial for adaptability. With composable simulation, businesses can quickly adapt to changing requirements or conditions across the operation. New use cases or models can be added if needed, supporting targeted improvements on-the-fly, but critically balancing each of the elements of the end-to-end flow.

Firefighting mindsets have been exacerbated by rigid rules and policies, or guardrails, in supply chains, especially when they no longer fit today’s market dynamics. Composable simulation enables businesses to simulate different scenarios that challenge those guardrails.

The short and long-term impact of changing or removing certain policies or rules can be fully tested in a risk-free environment, enabling true foresight. It’s even possible to identify new effective ways of operating across the supply chain which may have been previously overlooked due to the established, siloed structures in place.

Accessibility that drives alignment

But even with the flexibility, impact and foresight offered by composable simulation, it only creates value if the insights are accessible to decision-makers at every level, so that impact is lessened if the platform is too complex for staff to leverage and C-suite leaders can’t gain the relevant insight.

Many old-school tools demanded near perfect data and data scientist level tech talent to deliver value. That’s no longer the case. Innovations in AI and no-code models mean composable simulation no longer requires spotless data or deep technical expertise. A happy by-product is that composable simulation avoids the downsides of data aggregation necessary to feed the traditional tools.

Even if substantial gaps are present in the available data, AI can synthesise the missing elements based on the available information. Through intelligent preparation of extensive simulation experiments it is possible to describe and fully explore complex scenarios which extend beyond the bounds of what could be achieved with ‘real’ data alone.  

The result is a safe environment for testing operational decisions and modelling real-world impact, accessible to all, from technical specialists to the C-Suite.

Targeted change, strategic impact

In short, composability allows businesses to leave firefighting in the past, challenge the rigid guardrails that have held them back and achieve much-needed foresight. By building modular simulation digital twins, leaders can test new strategies, expose outdated rules and see the ripple effects of every decision before committing capital. Instead of reactively addressing bottlenecks, the supply chain becomes the cockpit for growth foresight, where the C-suite can align investors, operations and strategy – and act boldly with confidence.

  • AI in Supply Chain

At the most recent Exiger Executive Forum, we had the opportunity to listen to the experts discuss how supply chains can shore up in chaotic times

Most often than not, the control you have over your value chain is an illusion.

That’s the bold statement November’s Exiger Executive Forum picked to examine and dissect. The event, entitled False Security: The Illusion of Control in Modern Day Value Chains, was chosen carefully to reflect what procurement and supply and value chain leaders are concerned about today.

On the 18th of November, we joined Exiger and its distinguished guests at the beautiful Great Scotland Yard Hotel in London to dig into this topic and hear directly from the best of the best in an expert panel. The guest list reached from defence leadership, supply chain experts, world-leading analysts and senior politicians. 

The aim? To challenge that illusion of control, and frame the conversation as a tough love wake-up call. Without open dialogue like this, risks can quietly accumulate in the background, leading to systemic failures.

That’s why the Exiger Executive Forum is so important. By giving the most pressing matters – especially the uncomfortable ones – a platform, issues are demystified and disempowered and real solutions to be put into place – both with deep values and credible pragmatism. This allows leaders in procurement and supply chain to  resolve modern day challenges with confidence, regain lost control and determine their future and not merely react.

Tim Fowler, Client Engagement  Director at Exiger, acted as moderator for the evening’s discussions. He opened the discussion with a sobering reality: that organisations all over the world are facing systemic risks. “Global supply chains are more data-driven, more regulated, more digitised than ever,” he explained. “But, paradoxically, they’ve never been more fragile with the convergence of geopolitical fragmentation, resource scarcity, technology threats, and regulatory volatility.”

The risk caused, Fowler said, is one that “hides in plain sight”. Many enterprises operate under the assumption that they have full visibility of their suppliers, and that as a result, they’re in control. However, dig a little deeper and there are many unseen dependencies, regional concentrations, and of course, human risk. With a more hopeful lilt, Fowler then reminded attendees that the goal of the Executive Forum is to explore what real control and resilience means in a chaotic and ever-changing world, with the help of the expert panel:

• Koray Köse, CEO & Chief Analyst, Köse Advisory; Senior Fellow, GlobSEC GeoTech Centre; and Board Member, Slave-Free Alliance

• Scott LaFoy, Vice President, Nuclear and Technology Security Programs, Exiger
• Sven Markert, Head of Supply Chain & Logistics, Siemens Smart Infrastructure
• Angela Qu, Advisor, Strategist, and former Chief Supply Chain Officer
• Faysal Rahman, Director, Corporate Coverage – Global Defence Coordinator, Deutsche Bank

The illusion of control

In the first segment of the evening’s strategic expert exchange, Fowler dug into the concept of this illusion of control with the panel. For Köse, the illusion of control is one of the greatest blind spots in modern business. But why? “It’s all based on our systemic understanding or how we actually created value in the past,” he explained. “Not 50 years ago, but even just 10 or 15 years ago, the world looked very different from what we are facing today. Changing the rules of the game is something many companies still do not examine seriously. It requires a deep review of how their value chains are designed, the governance and compliance structures that guide them, and the intelligence embedded into their processes. Ultimately, it is about building resolve and the capability and capacity to not only survive the challenges of today, but to shape and compete in the markets of tomorrow.”

Following this, Qu was asked whether she has also witnessed a false sense of security within governance models in organisations she’s worked with. She pointed out that many companies now have risk mapping, risk monitoring, and risk mitigation as a top agenda since COVID-19, but shortages and disruptions continue. What’s key, for Qu, is “awareness, visibility, and overview. I think we’ve made big steps in the last 2-3 years,” she explained. “There are a lot of conflicts in the classical KPIs, which are still siloed even after the COVID crisis. That’s why you need good visibility of the whole value chain setup – not only tier one.”

For Markert, maintaining agility when managing various political, technological, and economic challenges has been a major undertaking. “The truth is, I don’t know if we really maintain the agility or just manage the chaos,” he admitted. “We’re focusing on adaptability over perfection, so we accept that full control is impossible. Then, we’re coming back to basics. This starts with processes, then technology. Lastly, people are the most important and most valuable assets you have. You have to build up cross-functional teams. We don’t want to predict the future; we want to be prepared for the future.”

From a financial standpoint, Rahman stated he believes it’s important to take a step back and contextualise the challenge we’re living in. The last few years have seen a pandemic, wars, and geopolitical tensions the likes of which have never been seen, impacting supply chains. With this in mind, Rahman believes that there “couldn’t be more of an emphasis” on supply chain resilience. “How do you make sure your operational resilience is robust so you can withstand black swan events that are becoming more and more common?” he asks. “Diversification of risk is really important.”

Sometimes, failure is simply not an option. For LaFoy, who works with national security-grade supply chains, having all of the information in front of you is great, but it means nothing if you don’t use it to take action. “Often people think they can see everything, and that’s only step one of the problem – it doesn’t fully address it,” he said. “You have to be willing to take action within the organisation, to mitigate the problem, fix it, and try to rebuild. People like to say that they’re going to fix their supply chain, but the supply chain is likely supporting a programme that has existed for so long it’s entrenched within the organisation. So it’s almost always too late.”

Vulnerabilities and systemic risk

Fowler: “Where do you see the biggest unseen vulnerabilities accumulating today?”

Köse: “It’s in the KPIs. Companies are measuring themselves against metrics that no longer drive sustainable or resilient value creation in today’s world. They still prioritise short term shareholder returns that evaporate with every risk event. KPIs shift from quarter to quarter, yet value chains take decades to build and mature, just as supplier partnerships and political relationships take decades to cultivate. Both can erode rapidly when interdependent opportunistic and negative actions and disruptions occur.”

Fowler: “How do you encourage best practice and good behaviour with your clients?”

Rahman: “The number one ingredient is confidence. Having transparency across the value chain, the supply chain, the governance procedures, is super important too. It can take 50 years to build trust and one second to lose it, so it’s important to take a very risk-averse approach while being very commercial and pragmatic.”

Fowler: “What have you seen work in terms of breaking down siloes to drive agility?”

Qu: “I usually go with strategy, organisation, technology. Technology encompasses risk mitigation, as well as ESG and compliance. We need dedicated projects, working with suppliers and engineers to reduce waste and create internal excellence. Personal resilience is also very important.”

Fowler: “How do you balance all the elements of regional concentration and supplier dependency?”

Markert: “Efficiency is still key if you want to stay competitive. We cannot optimise purely on costs anymore – that’s gone. We have to take into consideration, as Angela said, the transparency insights beyond tier one. For me, it’s all about continuity and compliance.”

Fowler: “What lessons can the private sector draw from defense-grade risk management?”

LaFoy: “The defence-grade supply chain has this draconian adherence to certain processes, and that inflexibility doesn’t always translate in a positive way. But in this case, it’s necessary to examine what key things you’re prioritising as a company. 

Technology, intelligence, and the myth of visibility 

It’s clear, in spite of the warnings about vulnerabilities and control, that the overall feelings for supply chain professionals are hope and determination. Fowler introduced the next segment of the conversation by mentioning that investors and PE companies are now focusing on supply chain risk and resilience as key measures. This bodes well for those in supply chain when they inevitably come to justifying proposed improvements. The fact that supply chain risk ties directly into financial risk proves once again that supply chain is a business-wide concern, if there was any remaining doubt.

For Rahman, from a financial perspective, there are a couple of areas clients are focusing on when it comes to their investments. “One is financial risk,” he told Fowler. “What we mean by that is leverage – how much debt and cash they’ve got on the balance sheet. The other is business risk, which is quite broad. It’s about how much the product is needed in the market, whether it’s a diversified product, and so on.”

When it comes to questions of compliance and ESG in supply chain, balancing those areas of focus with what investors want can be a challenge. Those investors may have a clear idea of their areas of interest when thinking about risk and resilience, and Qu’s solution for making sure those vital areas don’t get overlooked is to always see things from the customers’ perspective.

“That customer, if you want them to choose your product versus a product from competitors, they want to know you’re compliant to all regulations,” she explained. “That results in collaboration among different departments to focus on a common goal and how we achieve it. Also, you need an overview of potential risks and have solutions in place for those focus areas, supported by technology. Things can go wrong, but if that happens when you’re prepared, it’s not the end of the world. There are still activities where humans can take over.”

The conversation again turned to leadership, and how that affects organisations in a way that incentivises them to focus on protection and resilience, while not stifling innovation and agility. The key, for Köse, lies in communication and constant messaging, so vital areas don’t get forgotten. “The important factor is drawing the journey very clearly to everyone who is a stakeholder in this process, and make sure that every part of their contribution will become part of the overall value creation process. When we talk about resilience, you always need to think about the next step. We’re not necessarily predicting anything, but we’re preparing for everything.”

The conversation shifted to summarising comments, where the panellists highlighted resilience across all functions, with a heavy emphasis on supply chain, utilising AI to help navigate decisions, and simply showing up as being some of the most important aspects to getting the modern supply chain right. “We need to be able to understand, from A to Z, geopolitical interdependencies, financial impact, innovation impact, industrial history, and the most valuable assets – your people and your culture,” Köse concluded. “Showing up in that context, and driving that as leaders, is ultimately really critical.”

During the course of the evening, the expert panelists exposed the glaring issues and shattered illusions across the modern value chain, while leaving attendees hopeful that they can achieve operational resilience through a proactive commitment to preparedness. Thank you to Exiger for inviting us to join in this vital conversation; we look forward to the next one.

  • Events
  • Together in Events

Frustration with a broken system is a great motivator, and Spencer Penn, CEO and Co-Founder of LightSource, can attest to that

LightSource is a business which, in its own words, gives the user ‘superpowers’ – an ambitious statement with plenty of evidence to confirm it. LightSource, based out of San Francisco, functions as a direct materials operating system, but provides so much more with its ‘Spec to Scale’ philosophy.

Spencer Penn, its CEO and Co-Founder, spent most of his career at Tesla prior to this role. He helped lead a program there called the Model Three, which was Tesla’s first mass market electric car. That was his first real exposure to the world of procurement and supply chain, and sparked a love and passion for that side of the business that led him to help create LightSource.

“I got exposed to a lot of challenges and insights, and some of those insights now underlie the product we’ve built at LightSource,” he explains. That love for procurement was inspired, in part, by the former CFO of Tesla, Deepak Ahuja, who Penn reported to and describes as “legendary”. Additionally, the rush to create the Model Three exposed Penn to the sourcing world for the first time.

Addressing a wider problem

After around three years of ideation, LightSource was launched officially in 2021. Penn never really planned to do this professionally; he thought he’d continue working in the tech field as an employee. But several things changed his mind.

“One, I realised the sourcing issues at Tesla weren’t just a Tesla problem,” he explains. “If you look at the income statements of any big manufacturing business, direct materials is the biggest area of spend, and it’s also the least innovative and underserved in terms of technology. So there’s a big market opportunity there. Many of us see it, but it doesn’t mean we quit our jobs like I did. 

“The real thing that made the difference, for me, was meeting my Co-Founder, Idan Mintz. He’s my business partner and a brilliant technologist. He’s an engineer, our CTO, and he came from Google X and Google Research. Meeting him showed me I had a real counterpart on the technology side, and made me feel like we could go and pursue the change we wanted to see.”

And so, Penn and Mintz began to bring together the right elements to create a team and draw investor and customer interest. At that point, the risk wasn’t in following through with the idea – the risk was that if they waited any longer, someone else would fill the gap LightSource wanted to fill. 

Read the full story here.

BeNeering’s MD and CRO dig into the company’s history with AI, and the necessity of seeing beyond the hype of new technologies

A privately-owned company with over 20 years of procurement digitalisation experience fueling it, BeNeering is at the forefront of the AI-powered revolution in its sector. BeNeering was founded in 2007. At the time, Christoph Moll, BeNeering founder and Managing Director, was busy implementing SAP SRM systems for large European multinationals. While this provided great experience, Moll could see the limitations – and he wanted to move beyond them. He wanted to do something more.

“That’s how BeNeering was founded,” he says. “We focused on consulting until 2013, at which point we transitioned to being a solutions provider. I cherry-picked a great development team, and I’m happy to say that the same strong team is with us still today. Stability is our value.”

Natalia Parmenova, Chief Revenue Officer, is an example of one such strong team member, who has enormous faith in the business. “From my perspective, BeNeering is a super special solution provider for a few reasons,” she states. “First of all, we believe in co-innovation. Everything we develop is built together with very large and advanced customers. We try to stay close to those customers, to people who are forward-thinking and developing their procurement functions, so we can develop solutions for them with them. We are not just inventing things we think are useful – we are basing our development on customer needs. That’s really important.”

Simplify and optimise

Many people fall into procurement accidentally. It’s a common story among procurement professionals, and a source of amusement considering how passionate many of them become about it. For Parmenova and Moll, however, it was a case of seeing the way the wind was blowing and following the scent of change.

“In 2001, when I was employed by SAP, I wanted to do things better to help users in procurement,” says Moll. “That was how it started for me. My vision was really to simplify and optimise steps and processes for both requestors and buyers.” 

Read the full story here.

Dafydd Llewellyn digs into why businesses need to be deliberate about how they use AI

Taking on a new leadership role can be both exciting and daunting. Dafydd Llewellyn is the CEO of HICX, having taken up the mantle in September. In fact, by the time we spoke with him, he’d only been at his post for five weeks – but he was buzzing with nothing but pure enthusiasm about it. At this crucial juncture, when the pace of change is faster than ever before, strong leadership is vital. As such, Llewellyn has his hand on the tiller as he guides HICX on the next part of its journey.

“We’re a supplier management platform,” he says. “Companies work with us because they want to transform their supplier management to become more unified, more strategic, and more intelligent. Ultimately, what that means is our customers’ businesses are really able to make the most and harness the power of the suppliers.”

AI in the real world

Being competitive in the modern day means being not just au fait with artificial intelligence, but having a deeper understanding of it. The theme of DPW Amsterdam this year, as with the New York event in June, was ‘Put AI to work’. While AI has been a topic of discussion for several years now, planning (and bracing) for its impact is a different matter. But HICX, led by Llewellyn, is ready.

“It’s great that DPW is focusing on AI,” he says. “At HICX, we are being very deliberate about the way we approach AI. The way we’re looking at it is really about using AI to allow procurement professionals to be more value-added in the tasks they do, and remove all the repetitive tasks that they really don’t want to be doing. They can drive more value for the business that way.

“So, we are looking at things around business processes and automation, right through to document capture, through to compliance checks; using AI agents enables us to do that,” Llewellyn continues. “I can give you a real-life example. If you think about the workflow for a new supplier in the old days, you’d have to have them involved to create that workflow. Now, we can use AI to create that workflow just by writing it in natural language.”

Read the full story here.

These milestones reflect not just commercial progress, but market validation of Exiger’s platform

The US Army has licensed Exiger’s AI software in order to accelerate its defence acquisition, reduce lead times, and enhance operational readiness. It’s part of a multi-million collar contract that’s been awarded to Exiger to provide end-to-end supply chain risk illumiation.

“This is a revolutionary capability that will transform the way the U.S. Army approaches sustainment,” said Exiger CEO Brandon Daniels. “Our software will help identify at-risk NIINs that may be subject to undue constraints from a variety of factors. It will unlock the organic and additive capabilities that the government has invested in. And it will monitor for severe risk hiding in the supply chain, identifying where natural and manmade disasters, supplier operational and reputational risk, and foreign adversary sourcing could create disruptions in the weapons systems our warfighters depend on. Together, these capabilities deliver a more predictive industrial base, capable of responding to evolving mission needs at speed.”

Exiger has also joined forces with Palantir as part of this project, combining Palantir’s operating system with its own mission-built supply chain AI.

“This partnership combines Palantir’s and Exiger’s world-class technologies to integrate production decisions with battlefield demands, ensuring the US Army can deliver faster and more reliably to those on the front lines,” said Mike Gallagher, Head of Defense, Palantir.

“AI and automation across the supply chain enable deeper visibility, faster risk surfacing, active and proactive mitigation, and accelerated supply movement, giving commanders and portfolio acquisition executives a level of foresight and speed never before possible,” Daniels added.

  • AI in Supply Chain

Exiger has been awarded a huge contract to help modernise the detection of transshipment for the US government

Exiger, the market-leading supply chain AI company, announced today that it has been awarded an exclusive, multi-million dollar contract by US Customs and Border Protection (CBP) to modernise the detection of illicit transshipment across global supply chains. Designed to evade tariffs, trade restrictions and sanctions, illicit transshipment is the practice of manipulating supply chains to disguise a product’s true country of origin. Exiger’s Trade AI will be adopted and deployed across CBP, serving as an additional tool for the US government’s transshipment detection capability.

Transshipment identification and enforcement are critical priorities for the Department of Homeland Security (DHS) and CBP. Convergent Solutions, Inc., DBA Exiger Government Solutions, will equip CBP enforcement offices and personnel across the US with access to Exiger’s AI platform and data to identify illicit transshipment at-scale and in real-time.

“Billions of dollars worth of global trade move through illegal transshipment channels that seek to bypass US restrictions,” said Exiger CEO Brandon Daniels. “A core CBP mission is to enforce US trade and forced labor laws, thereby helping ensure that American manufacturers and workers are competing on a level playing field. Exiger is proud to support this mission, bringing to bear the world’s largest proprietary supply chain database and the market’s most sophisticated AI.”

Exiger’s AI will be an additional resource available to CBP personnel to:

  • Detect illegal transshipment across global supply chains
  • Monitor and enforce tariff and trade regulations
  • Leverage Exiger’s proprietary AI models and trade intelligence data to enrich data in CBP systems and enhance decision making
  • Deploy AI-enabled validations of tariff classification, value and country of origin
  • Create automated bills of material for products and sub-components
  • Map the flow of raw materials and sub-components through global supply chains
  • Risk-score shipments in-real time
  • Collect tariff revenues earlier
  • Trace global supply chains to enhance import visibility and risk segmentation

Exiger’s proven AI solutions have been deployed across 60+ US Government agencies, including the Department of War, Department of State, Department of Energy, DHS, the intelligence community, and armed forces.

Exiger’s technology continues to earn top recognition. In April, Exiger was named an awardee on the Government Services Administration’s Supply Chain Risk Illumination Professional Tools and Services (SCRIPTS) Blanket Purchase Agreement, and was the highest-ranked unrestricted vendor awardee of the 10-year, $919 million contract. This year, Exiger was named a Leader in the 2025 Gartner® Magic Quadrant™ for Supplier Risk Management Solutions, a Best-of-Breed Solution and three-time Value Leader in Spend Matters’ SolutionMap, and a Leader in Omdia’s Market Radar: Firmware and Software Supply Chain Security. Exiger also won a 2025 STEVIE® Award for AI Company of the Year.

  • AI in Supply Chain

SupplyChain Strategy attended July’s Exiger Executive Forum to hear from the best and the brightest in the industry.

Supply chain resilience is one of the most pressing concerns of modern business, whether executives are aware of it or not. That was the central theme of the Exiger Executive Forum held on July 23rd 2025. Titled Supply Chain Sovereignty in a Fractured World: Winning the AI and Geopolitical Race for Resilience, the event brought together business analysts, CEOs, supply chain and procurement executives, academics, and politicians for an open discussion around supply chain sovereignty and the urgent need to secure supply chains across myriad industries and territories.

As geopolitical events, trade wars, and threats to globalised networks threaten to destabilise global and local supply chains, the case for supply chain sovereignty, which is an organisation’s ability to control its supply chain and minimise dependence on external suppliers, becomes increasingly stark. However, a myriad of stakeholders must come together to enable organisations and nations to gain independent control of supply chains, and collaboration between industry, government, and academia is essential.

Three guest speakers joined Maria Villablanca, CEO and Co-Founder of Future Insights Network, each representing voices from within politics, business, and academia: Tobias Ellwood, former UK Minister and Chair of the Defence Select Committee; Koray Köse, CEO and Chief Analyst of Köse Advisory, Senior Fellow at GlobSEC Geotech Centre, and Board Member of Slave-Free Alliance; and Karsten Machholz, Professor for Supply Chain Management and Strategic Procurement at University of Applied Sciences, Wuerzburg-Schweinfurt. 

The discussion exemplified the discordancy of priorities and perspectives among senior voices from all angles regarding security, economics, policies all impacting value chains, albeit with a shared willingness to engage in secure, competitive, ethical and innovative supply chains, fuelling businesses and economies through heightened volatility in a fractured world that is recalibrating through the era of reglobalisation.

Supply chain sovereignty: Bridging political understanding, and urgency

“It is a dangerous world that we’re entering,” Ellwood warned. “If I ask you ‘Do you think the world will be safer or more dangerous in five years from now?’, I think we’d all agree in which direction it’s going. We have to then ask ourselves how we prepare for that.” To that end, Ellwood believes an increased focus on supply chain sovereignty is both an economic and military imperative.

For Ellwood, the central issue is limited understanding, both public and private, around the urgency presented by the current risk and threat environments. Through the combination of limited knowledge around supply chain complexity and an election cycle-focused impetus to enact vote-winning policies, he believes the political class lacks both the nous and urgency to prioritise supply chain sovereignty.

“After 20 years in politics, I can safely say that many politicians are simply unaware of what’s coming over the hill,” said Ellwood. “The tide took me out to the last general election, and so I went from helping to craft and nudge policy and encourage Britain to move forward to then scrutinising what we were doing, not just at home but internationally. Now that I’m outside of politics, I continue doing those same things.”

The necessity for political engagement is not lost on Köse, who through his own experiences of researching, advising and leading supply chain organisations, has been advocating for supply chain resilience as a top line driver for economies and companies, has equally encountered the depth of that disconnect.

“At an early point I realised that geopolitics is the key denominator for all value chains and all of us in this context,” he said, adding that work is overdue but starting to be underway to bridge this gap. “The London Defence Conference, as one critical congregation, is key for you all folks to be aware of. Not only because of what they do in terms of bringing the politicians into one room to debate some of the most fierce topics of the day, but it’s all about convergence. Bringing in supply chain leaders, policy makers and technology folks with a direct approach to debate.”

Villablanca noted that Ellwood’s presence was indicative of a gradually shifting tide, however. “It’s not lost on me that here we are in this panel, talking about supply chain, and we have a former politician with us,” she said. “That is very different to some of my earliest supply chain conferences where we didn’t see that, so it’s a sign of the times. Set the scene for us around why you’re here and why it’s important to discuss the geopolitical situation vis-a-vis supply chain today.”

“I spent most of my time in politics trying to strategise, trying to go four or five chess moves ahead, and I found I was on my own,” Ellwood replied. “Politicians operate for the day, for the here and now, the election cycle; the news cycle is what keeps them busy. They’re not thinking about these things and yet the world we’re now seeing in everything… everything is being weaponised because that is the change in the character of conflict.

“But today, from my perspective, I see the world splintering into two spheres of hugely competing influences. If you look at the number of countries that have signed up to China’s One Belt One Road initiative, you’ll see that many of them are either opting or hedging their bets as to where things go. 

“To make matters worse, our exemplifiers of what democracy looks like aren’t in a good place. We see what’s going on in America, British politics and so on, and Europe and America are not on the same page. We aren’t promoting global law in the sense that we had a sense of determination that we had when organisations were set up in 1945. Other nations are getting together and realising that there’s an opportunity to exploit the wobbliness of our world order and do things their own way.

“That’s where the mechanisation of just about anything comes in to cause us economic harm, to sow political discord from afar. It’s very easy to do and becoming easier simply because of the openness of our society. It means, from a rudimentary perspective, anything you do can be weaponised against you.”

“It’s very easy, from afar, to then limit your supply chains and thereby limit your capabilities. There are countries that specialise in sowing economic discord from afar. They understand and learn and know supply chains better than we do, and they can work out which missing pieces will cause our assembly lines to grind to a halt.”

That lack of preparedness, he says, is an impediment to putting the nation on a footing that could support a war effort on the scale of the World Wars.

He continued: “There’s also the prospect of preparing for war, which means that we are suddenly spending more money on defence. Our ability to switch on the supply chain levers to support military capability is not there. This is why companies that have no connection with the defence world need to think about the services they provide that might have a military bearing. In five years time, you may be called upon to do exactly that.

“That is the mindset we now need to get into. Security and economy are one and the same now, and that’s what we need to learn.”

AI, foresight, and risk strategy

The conversation then shifted to the business side, where securing critical supply chains powering key technologies such as AI, defence and security, biotech, energy and quantum computing has become a more pressing concern in the wake of a range of global disruptions through the early 2020s. 

Along with broad supply chain breakdown during the COVID-19 pandemic, the geopolitical environment has become more fraught. Escalating trade wars, the imposition of sweeping import tariffs in the US and heightening tensions between America and China have thrown globalised networks into question. Alongside those challenges, Environmental, Social and Governance (ESG) directives have placed an increased onus on supply chain leaders to sanitise their supply networks against modern slavery, conflict minerals, and indirectly sourcing materials from rogue nations. The case for establishing redundancies in supply, as well as heightening visibility on an end-to-end supply basis, was thus clear amongst the panel.

“Koray, you work with a lot of different companies,” began Villablanca. “Do you think there’s a mindset issue where politics and commerciality need to come together to realise the common goal and create resilient supply chains?”

Directly, there probably is a mindset issue,” Köse replied. “I think there is a lack of clarity about the importance of geopolitics’ impact upon supply chains, and there is certainly the capability issue of understanding the context of geopolitics.” He then elaborated on the challenge by highlighting shortfalls in companies’ predictive capabilities.

“Companies operate with risk dashboards,” he continued. “Sometimes it’s just red, yellow, green, and that’s all you have. They have a few key risk indicators like financial compliance issues, quality issues, performance issues, but you never see strategic foresight. It’s retroactive, based on historical numbers. If you look at a production line it might say, ‘We didn’t have an incident for 80 days’. What if somebody were to say, ‘We won’t have an incident in the next 100 or 80 days’? You don’t see that in production; it always looks backwards because it is built on the past.

“A big problem in a lot of the military complex, and in politics, is thinking that the next war will be like the last one. They cannot necessarily understand that asymmetric, hybrid and proxy warfare is really where things are going, and the same goes for technology. Supply chains are often built on yesterday’s technology.”

To then end, he believes supply chain leaders should be more forthright in leveraging their profound influence upon business operations: “In supply chain, we see the conversation about having a ‘seat at the table’ for decades now and I always say, ‘Just bring your own freaking table’, and invite everybody to it. Everything, every cent in an organisation, goes through you. Own that leverage and don’t run after them, invite them to come to you. Your table is where value is generated, secured and innovation and competitiveness are established. You hold the fate of the future.”

As to politics’ place within meeting this challenge, Villablanca asked Ellwood whether the political sphere could be doing more to shape the corporate agenda.

Yes, and that last point you said is the most critical; recognising that there is a massive risk, that this is a very different world that we’re now facing, and I expect the point that’s really being made is the absence of politicians,” he said. “The politicians themselves need to be told what we need because their expertise in understanding this arena is poor.

“China now owns the periodic table. If you are into silicon wafers, where’s your serum going to come from? If you’re into magnets, where’s your Europium going to come from? You need to know this sort of detail, and it’s not just you yourself. It’s your suppliers and the suppliers of your suppliers, too.”

While supply chain transparency has undoubtedly increased in recent years, he stressed that considerable work remains to realise total visibility.

“At a recent procurement event I was astonished at how many household names were unaware of what their second and third-tier partners were doing during the procurement cycle,” Ellwood continued. “They didn’t understand the vulnerabilities, down to the SMEs, of what’s going on. If the assembly line stops then that’s quite serious, but what’s going to happen because of that stress? 

“There are people who don’t understand it over here, not recognising that our competitors are deliberately looking at our supply chains and working out where that vulnerability lies. It is so that Ford stops making trucks, so that pharmaceuticals stop making medicines. Ministers are ignorant about this and we need to become better at it. This is the frontline of the next war that we’ll fight, and that war is coming.”

“I would add that some can’t fathom the complexity of certain supply chains and the vulnerability and risk associated with multiple tiers within them,” Villablanca posited. “There’s probably a translation issue with regards to business and politics around supply chain.”

To this, Ellwood stressed that international government groups hold the keys to unlocking a broader understanding within members’ respective political spheres.

“The G7, the Five Eyes Alliance, this is where these conversations need to go,” said Ellwood. “To recognise this must be a priority within the western world, we now need to have an alternative source to make sure that we can build our aircraft, we can build our factories, we can build our products. It isn’t so much the rare earth minerals themselves, but it’s the processing. Setting up a processing factory for rare earth minerals takes almost a decade.”

Here, a guest interjected with a point that hearkened back to Ellwood’s own admission that politicians have an innate directive to focus on local, vote-winning issues: “Politicians recognise there are no votes in this. The average MP will say their inbox is full of ‘fix the NHS’, ‘get the roads fixed’.”

Resolving political challenges such as those, Ellwood replied, is predicated upon strengthening economies to open fiscal headroom for public investment.

“If our economy is affected by problems with our supply chains, there’ll be no money in the treasury,” he explained. “Not for health, transport, potholes, policing, defence. It’s imperative that if you want to fill the coffers, then we need to protect ourselves. You can only do that with supply chain resilience. As a politician, you’ve got to take the people with you if you want to make the case.”

Villablanca then repositioned the conversation with regards to pressing issues around sustainability.

“There’s a lot of risk associated with our supply chains that goes beyond geopolitics,” she said. “We also have climate issues, economic issues. How do we maintain sovereignty in our supply chains while still trying to pursue goals around sustainability?”

“Supply chain transparency is something that I advocated for when I was a young consultant in the early 2000s when my hair was not so grey,” said Machholz, highlighting the gradual shift in supply chain priorities around identifying the finer details across those networks. “It isn’t a new topic and in the EU we now have the Critical Raw Materials Act.

Machholz drew the conversation towards sustainability in the context of integrity and continuity. “I’m German, and what we have is engineering power. We are good at car and machine manufacturing, but we have no natural resources. We have a little bit of coal, but all other things need to be imported. There have to be some sources to get those things.

“There’s Trump and tariffs going up and down, and we have some other geopolitical tensions affecting supply. You might say, ‘Where do I source this particular thing from? We don’t really have a second source of supply, because both of these sources are located in the same geographical spot.’ Maybe both of them are coming out of China.”

For Machholz, lessons to be gleaned around forecasting with technology’s latest predictive capabilities were presented en masse by the pandemic. “If we look at COVID, almost all supply chains were disrupted and you were running out of materials,” he continued. “You needed to be much more risk alert, and this is the problem we have already touched on: not looking in the back mirror, but using your data and turning insights into foresights to see what could happen, and then being agile and adapting.

“Sustainability could be one thing, having several sources, having alternatives, but of course, especially if we’re talking about critical raw materials, critical parts or maybe patent-protected or monopolistic suppliers, we are in an ambitious situation, put it that way, to find some alternatives.”

Machholz stressed: “This is something that each supply chain manager, CPO, and CFO, needs to understand to set boards’ scenarios. I’m pretty sure with the help of artificial intelligence we can elaborate much more on our data and predict different scenarios so we can be more prepared rather than just reactive.”

Shifting from cost-cutting to resilience

Of course, supply chain executives are under siege from an enormous breadth of challenges, whether it’s geopolitics, technological evolution as both a benefit and a threat, and shifts in consumer behaviours precipitated by those same factors. Rising to meet those challenges on all fronts, especially in a business landscape that often adheres to cost optimisation and efficiency over investing in resilience, can give rise to decision paralysis or financially-stymied strategies.

Turning to Köse, Villablanca asked: “There’s a mountain of black swan events lurking around us, ready to attack at any minute. What are the things that a supply chain leader should be focusing on today to try to build resilience?”

“To be honest, I don’t think they’re looking at building resilience,” said Köse. “What they’re doing right now is cost optimisation, looking at inflation and making sure that the profit margins are going to be protected through the bottom line, not considering top line revenue maximisation. 

“I think agility and economics always need to come back to top line, which basically means in the context of normal business 101 you are producing something, that there is a want and a need and a willingness to pay, and not necessarily hyper-focusing on the cost line or saying, ‘I’m not going to produce a bunch of bullshit that nobody’s going to pay for, just because I got to claim savings to my CFO’.”

I’m going to challenge you there,” Villablanca interjected. “I think, theoretically, that’s great, but everybody in this room is running a business. We have our own boards, people above us, board directors and so on saying, at the end of the day, you are remunerated and we are all remunerated for our quotas. How do you deal with the day-to-day management of your business as well as building that kind of resilience, agility and visibility?”

To this, Köse stressed that the difference can be made by reframing how businesses examine and counteract risk. “We’re thinking about turning the tide by really embedding foresight in risk indicators. Those risk indicators need to incorporate geotechnical, geostrategic issues with foresight,” he continued before highlighting what he implied to be a tendency for organisations to bury their heads in the sand when faced with developing geopolitical challenges.

“I published an article before Russia invaded Ukraine, about Russia getting ready to invade Ukraine, that went through loads of red tape and debate internally that calling Russia an aggressor was cancelled out from the research note,” said Köse. “They said, ‘You can’t say that’ while it was pretty obvious that Russia were clearly the aggressors. 

“The supply chain-focused function needs to spread out and have these geopolitical indicators, geotech-related risk indicators, and not just the last financial report from your supplier A to Z or tier one or tier two.

“We must then tie it back to the value and revenue you’re generating. Get away from this hyper focus and obsession with savings. In that context, make your analytics smarter with a bold analysis of things that you feel uncomfortable about. Think about ‘what now?’ and think about politics. I know we eradicated politics out of business as much as we eradicated many other beliefs from the conversation, but it has to come back.”

With this in mind, he proposed that cost optimisation is to an organisation’s detriment where resilience is concerned, not to its security. “Your indicators for success are not just on the cost line item or bottom line. Your priority must be on the top line. If I sell more, I can grow. With cost optimisation you can shrink yourself to death. That’s what some countries have done with political reviews where you shrink this, you shrink that, let’s shrink here, let’s shrink there. Potholes, collapsing bridges and rail systems, come because of the shrinkage of your investment budget for public infrastructure, for example. What I have found in the last decade of the sustainability high is that it actually impeded resilience, while the narrative said it was supposed to increase resilience.”

To this, Machholz highlighted the data behind Köse’s comments that resilience offers heightened growth potential than cost-cutting measures.

There were some studies from McKinsey which showed that companies who are investing in risk management are 4.7 times more profitable than those who don’t,” Machholz shared, stressing that businesses engaged in this mindset are missing growth opportunities. 

“People just fall back and say, ‘Okay, now the risk is over, COVID is over, whatever event is over,” he continued. “‘We can just go back to business as usual’. Resilience is just extra cost, extra inventory, maybe a second supply chain that needs attention, money, and people to take care of it, and they just simply don’t do it. This is, I think, one of the big threats that we are all facing.”

Exiger Executive Forum: A closer look 

The Exiger Executive Forum (EEF) in London is a global think tank that brings together elite independent voices from strategy, policy, technology and business to equip leaders with the frameworks and foresight needed to navigate the multipolar era. The EEF is exclusively curated for industry experts, analysts, policy makers, and senior procurement and supply chain decision-makers through Exiger, a market-leading supply chain AI company. The next Exiger Executive Forum ‘War-time Economics: How Europe’s €800BN Defence Spend Will Reshape Supply Chains’ will take place in London on Thursday, September 18th, 2025.

Ellwood concurred that this lack of foresight and willingness to invest in protective supply chain measures leaves businesses undefended against interruptions both foreseen and not. “We need to prepare ourselves for unexpected events to happen as the norm,” he said. “What would happen to any business if it didn’t have power for 72 hours? How would you look after your personnel? How do you make sure you salvage the business so that, after 72 hours, you can get back up and running. These aren’t questions that we naturally posed at the moment because again, we tend to park these things.

“The mentality may be, ‘The world certainly feels like it’s getting dangerous, but my life actually looks okay.’ That isn’t the right attitude. If you go to Sweden or Finland, who are much closer to the war with Russia, they are preparing in a way that we are not for a major event or incident. It may well be that when something happens and it’s the moment where governments wake up, but you shouldn’t be waiting for that moment.”

Villablanca then highlighted the recent, universal example of poor supply chain resilience bringing business, both domestic and international, to a grinding halt. “Did we learn nothing from COVID?” she asked. “Did we not take the opportunity to stress test our supply chains and look for the vulnerabilities within multiple layers?”

In response, Ellwood invited guests to consider whether the muscle developed in response to COVID’s interruptions had been allowed to atrophy. “I think that’s a question for everybody; how much of that was retained?” he asked before blending the conversation of supply chain agility with the potential for organisations to support national security should their respective nations go to war. 

“During COVID, supply opportunities came about,” he said. “Everyone here today represents diverse businesses. What services do you provide that you could tweak or add value to where something else has fallen short? 

“That’s where life really becomes interesting because that’s what happened in the First and Second World Wars. We called on organisations that previously had no interest in helping out with the war effort to add support and value to the wider machine and protect ourselves from a resilience perspective.”

Challenges faced by supply chains, he explained, have analogues to business that clearly marry the political and business spheres: “When we say ‘war effort’ today, it isn’t just Army, Air Force, Navy, air, land and sea. It’s now cyber, it’s space, it’s coastguard, it’s AI. This greater warfare is where a lot of the real pain will happen. As happened in COVID, it’s going to be the clever people in the industry that step forward to say, ‘I’ve already thought about this’. They’re in the patent-esque mode, they’ve done the work to say, with a few tweaks here and there, give us some extra money, and I can alter what I’m producing to provide a solution.”

The roles of government and industry

While there are clear precedents for, and incoming needs to, prioritise supply chain resilience in both the political and business spheres, the conversation made it clear that a unified front stands to offer the most impact.

The challenge, particularly in a political environment preoccupied with economic stabilisation, increased productivity, and soothed international relations, is identifying a shared north star or galvanising body to lead the shared project.

Striking at the heart of the conversation, one guest posited:If we want to align supply chain and geopolitics moving forward with a mutually-reinforcing relationship and shared goals, joint risk assessment, a focus on resilience over efficiency, and heightened cross-disciplinary talent and data,  what are the forward steps? 

“What can we within industry do in partnership with governments to move this forward?”

Representing the political voice, Ellwood replied: “There are certainly supply chain improvements that you can do on a national, sovereign basis. But from where I sit, there is a wide political threat that we face and are losing right now. One of them is to do with the energy supply, and another is the threat of AI. The quantum race will be won or lost in the next five years’ time, and that will be game-changing. It simply means that if the winner can harness the power of computing on that scale, everything’s over.”

Ellwood then invoked the technological advancements made in modern wartime, stressing that political figures must wield the mindset of those times to accelerate progress.

“I would like to see some two or three Manhattan Project equivalents, if you like, to ask, ‘How do we harness modular nuclear power?’,” he said. “That’s a very easy way to keep our lights on locally. Then, how do you harness AI? Let’s make sure it is this side of the world that wins that. 

“Again, there isn’t that coordination, that sense of urgency, because it’s too far down the road,” he concluded, then highlighting that opposing forces on the world stage already have the unified capabilities that many Western nations lack. “State, industry, and academia in China, for example, are all morphed into one and that gives them huge benefits in the race for these key arenas.”

Köse elaborated on this point by highlighting Turkey’s effective coalescence of business and government.

“If you think about the private-public national defence sector in Turkey, it came from being totally dependent on the US armoury to a leading innovator of drone wars,” Köse explained. “When you think about asymmetric warfare, innovative, impactful and economic weaponry, from drones to secure soldier transportation and all of that, think about what Turkey is producing right now in technology compared to others. The headway Turkey experienced in the last decade in the defence sector is unprecedented.

“That private-public sector coalition and symbiosis has covered such a need for them in a decade that many are surprised. I think that is something that Europe has to relearn, because Europe thinks a lot about public sector dominance in an area where the private sector should actually take charge. In the US, it’s the opposite. They say, ‘keep the public sector out’. The solution lies in collaboration and bringing each sectors strength to the table while leaving out their weaknesses and flaws.

While of course not advocating for adopting the political model, he agreed with Ellwood that nations like China have an innate advantage in this race. “When you think about the way that the autocratic countries are going about it, it’s the public sector dominating the private sector environment,” he said. “That’s why they’re so hyperfocused on things and they can scale but not necessarily innovate in this sector.

“I love the government when it’s in the right place to actually do something positive and impactful. But when I’m exposed to it, I usually get anxiety issues due to the lack of pragmatism, innovation and agility. But hopefully there’s this convergence of politics, business and academia driving intelligence into critical sectors and industry, and we’re trying to drive it through this think tank here.”

The unified case for supply chain sovereignty

Exiger’s Supply Chain Sovereignty in a Fractured World event was an enlightening review of the supply chain landscape and the myriad challenges and stakeholders it encompasses. 

While the panellists’ conversation in many ways highlighted the disconnect between government, business, and academia, the resonating message was one of shared pressures and goals. Where governments have pulled back on the reins of public spending, many organisations have in kind adopted a cost-optimisation mindset that may protect the bottom line but opens the door to heightened vulnerability. 

Where governments must consider challenges around energy sovereignty and insulating populations against the breakdown of globalised networks – as was demonstrated upon Russia’s invasion of Ukraine in 2022 – supply chain executives must create redundancies to cover lapses and minimise potential disruptions to production and wider organisational integrity.

The guests’ final comment, that states which can marry both the public and private spheres towards shared interests, neatly encapsulates the urgency with which those worlds must reunite. While much work remains to enmesh those spheres, it is clear that the conversation is progressing at pace.

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AI’s rapid evolution is creating both opportunity and urgency. AlixPartners lays out what needs to change — and why risk-takers will lead the way.

The use of artificial intelligence (AI) in procurement is gaining traction with many organisations already looking at how the technology can improve processes. However, there’s scope to go beyond efficiency and instead focus on transforming value delivery. 

At DPW New York, we spoke to Amit Mahajan and Aaron Addicoat from AlixPartners, a management consultancy firm doing things a little differently. The organisation is advising its clients on how to implement AI to drive value, but it’s also using AI internally, too. 

“AlixPartners has a unique business model,” explains Addicoat. “We have a very senior model, very few junior resources. So now you imagine taking people with 10 or 15 years experience and now you equip them with AI… for us, it’s a huge unlock.”

This is about more than just productivity gains. AlixPartners focuses on using AI to transform the way procurement teams work, while crucially, maintaining the human touch.

How procurement professionals are using AI

With the support of technology, it’s possible to shift procurement from a cost-saving exercise to a potential revenue driver. Procurement teams are already looking for these opportunities, as Mahajan explains. “They’re starting to think about new ways of doing things,” he says. “It’s not just automation, but asking how do I leapfrog and do something differently?”

There are plenty of use cases where AI is helping with automation. This is a great place to start as it frees up human workers to do more valuable jobs that need a personal touch. “I have a client who’s using AI every day,” says Addicoat. “This allows them to review documents and contracts rapidly, to find key clauses and termination dates. They’re also using it in spend control processes to identify which things need to be reviewed more thoroughly.”

Many organisations are also using AI agentically to create their own bots. This gives teams a more accessible way to review information. “One example is a client who’s using AI for their business to help with acronyms,” says Addicoat. “They built it as an acronym tool to help break down the language barrier between different functions using different terms. This led to better engagement.”

This empowers employees across an organisation to be more autonomous while still getting the full picture. Agentic AI, especially, allows them to interact with information in a way that previously would’ve required specialist technical knowledge. Now, it’s possible to query information within a contract directly. 

“It’s about using agents and AI to look at anomalies within your procurement contracts,” explains Mahajan, “and be able to help the category analysts, the category specialists, and others to get more of those insights.”

While generative AI might be a hot topic, it’s not the only way to use the technology. In combining several sources of data and using AI to spot trends, it’s possible to create workflows tailored to the current environment. Addicoat explains: “We take a series of data inputs, such as weather patterns, lead times, contractual terms, inventory, and forecast. Then the AI generates the purchase order, queues it for review, and upon approval, places the order.”

This can help an organisation to place orders with the right supplier in the most timely fashion to avoid delays, and optimise for cost, for example. This fully automates the end-to-end process, using AI to interpret those important data signals.

While this is useful for procurement teams, it’s only the start. “Using AI in this way is really cool,” says Addicoat, “but what I found most fascinating is that you’re building a data model, and with AI layered into it, that over time can tell you how to optimise itself.”

This has huge implications for procurement teams looking to save money and drive revenue. “For example, it could tell us the commodity price at a certain point in time was low,” says Addicoat, “but because inventory capacity to hold resin was maxed out the client could only buy so much at that low price. So now investing in a new storage unit at a cost of a few hundred thousand dollars could, under the same scenario in the future, save millions of dollars..Data quality challenges

A roadblock that can stop procurement teams from fully embracing AI is a lack of quality data. With so many sources of information, often including paper-based documents, some might think it’s difficult to get the data AI needs to be truly useful.

“Don’t wait for everything to be perfect before you get started,” says Addicoat. 

This is a sentiment echoed by Mahajan: “Use AI to solve your data problem before solving your business problems.”

This requires a mindset shift. While AI can help cleanse, enrich, and structure existing unstructured data, it’s important to take the right approach. Shift from asking ‘what can we do with our data?’ to ‘what value do we need to create?’ and work backwards from there.

With this approach, the questions are less about the data and more about the business problem. This then allows you to use AI to work with the information you have to help answer those questions.

“Start with the value proposition in mind and work backwards,” explains Addicoat. “You can get data from anywhere — it has to serve a purpose.”

Bringing back the human touch

AI can free up procurement teams to focus on tasks that need more nuance and expertise. Using technology to automate workflows and make information more accessible has a huge impact on employee productivity. “It’s fundamentally transforming the way they work, the amount of work they can do, and the type of work they’re able to do,” says Addicoat.

There’s always the worry that with any new technology, the human element will be forgotten. “With every new advancement that comes in,” says Mahajan, “whether that was a steam engine or when computers came along, everybody wondered what they were going to do. But as humans, we always find ways to start doing higher-level work.”

This means that many professionals will find new ways of doing things. “Imagine all the mundane tasks you have to do in your daily job now,” Addicoat continues. “With these new ways of working, imagine the speed with which you can turn an idea into something real. All that time you free up allows you to go talk to people and build relationships that mean something.”

On the other side of things, the sheer volume of AI-generated content out there is going to drive people towards those more meaningful interactions. “You don’t know what to trust and what to believe anymore,” Addicoat says. “That’s going to lead to a resurgence in face-to-face content, being at the office, and being at events.”

AI’s impact on procurement talent

The talent landscape is changing. With technology playing a larger part than ever before, organisations don’t just need procurement professionals, they need adaptable, tech-savvy people. The nature of the job means that those in procurement need a wide range of skills. 

“We do everything,” says Addicoat, “legal, operations, supply chain, negotiation, analytics. Procurement professionals are generalists.” 

Tech plays into every element of that skillset, which means tech skills are becoming even more important for candidates applying for procurement roles. “Nobody goes to college thinking they’ll be a procurement professional,” says Mahajan, “but with AI and tech, that’s changing.”

With procurement often seen as a proving ground for leadership, embedding these tech-minded generalists could have a huge impact on the future. “We have a shortage of talent,” explains Addicoat. “But with more and more CEOs and COOs coming from procurement, that speaks volumes to what procurement does and the value it brings, as well as what the future holds.”

At AlixPartners, the passion for procurement is very clear with Addicoat saying: “There are only two kinds of people in the world: those who love procurement and those who don’t know it yet.”

Change is coming

With AI of all forms steadily gaining traction, procurement could change dramatically in the coming years. It’s the organisations that are willing to take risks and embrace change that will come out on top.

“AI has the potential to disrupt the whole management consulting world,” says Mahajan. “Firms focused on transformation will thrive.” 

With AI’s capabilities increasing rapidly, it’s difficult to predict what comes next. However, adaptability is key. “Hold onto your hat. In a year and a half, the world’s going to look very different,” concludes Addicoat.

We spoke to Chief Product Officer Prerna Dhawan about what it takes to move from experimentation to execution.

As AI continues to dominate conference stages and boardroom discussions, the pressure to use it is everywhere. As this technology becomes further embedded in enterprise strategy, many organisations are still grappling with how to apply it in a way that delivers real, measurable value.

Rather than focusing on AI for the sake of innovation, the question is how to align new tools with real business problems. That means looking beyond dashboards and pilots to deploy AI where it can simplify decision-making and improve processes.

At Beroe, this principle is central to how AI solutions are developed, deployed, and scaled. As the company behind the world’s leading procurement intelligence platform, Beroe provides real-time market data, cost analysis, and supplier risk assessments, empowering thousands of organisations globally to streamline operations and mitigate risks. Its latest advances in autonomous negotiation, supplier discovery, and predictive analytics show what it means to align AI with business objectives.

We spoke with Prerna Dhawan, Chief Product Officer at Beroe, during this year’s DPW New York conference. The discussion explored how procurement leaders can move beyond hype and start unlocking the full potential of AI.

Misalignment with business needs

There are plenty of real-world examples of how AI can improve efficiency within a business, from automating manual tasks like invoice processing to identifying new suppliers based on complex sourcing criteria. Accessing this technology is easier than ever with a wide range of tools available to procurement professionals. It can be tempting to jump on the bandwagon and integrate AI across every area of an organisation, but success requires a more nuanced approach.

The key is to ask the right questions, Dhawan explains: “We talk about all the latest and greatest technology out there, but what does it mean in practical terms? We need to ask, ‘How can I apply it today in the work I am doing as a head of product or as a procurement professional?’”

The allure of generative AI is especially strong, but business leaders should ask whether that’s the right solution for their needs. As with any decision, it’s important to consider the business problem. “It starts with a little bit of knowledge about what you’re looking for,” says Dhawan. “What are some of your biggest challenges, and which of those challenges could AI technology solve?”

Matching the right tool to the job

Once an organisation has identified a specific problem, it’s possible to find the AI solution that fits. While generative AI gets a lot of attention, other AI technologies and machine learning based systems might be more appropriate. 

In some cases, prescriptive, rule-based, or predictive AI could be a better choice to solve a problem without the need for a large language model. For example, forecasting commodity prices doesn’t require generative AI, just strong, contextual machine learning. 

“We are looking at AI across two dimensions,” says Dhawan. “Firstly, what is our offering to customers, in terms of procurement intelligence and autonomous negotiation technology. Second, we are looking at AI internally. Let’s say in product development, how do we use the latest AI solutions to accelerate our product development cycles so we can release new modules and capabilities more quickly.”

Regardless of the type of tool chosen, it should cover a high-impact use case. Integrating AI to solve a problem that only surfaces for a small group of people a couple of times a year won’t have a great return on investment. Instead, look for regularly occurring problems that, if fixed, could have a huge impact on productivity or quality. 

Reducing the cognitive load

We’re already bombarded by information, and the use of AI to add to this doesn’t make sense. “I don’t need another dashboard in my life,” says Dhawan. 

When implemented correctly, AI can make data more accessible while reducing cognitive load for users. The result is increased productivity and faster decision-making. 

“I think the power of AI is to simplify access to data. This is why ChatGPT has been a success: it democratises access to information. That’s what our B2B technology world is waiting for. It gives me something simple that allows me to talk to my data. Then I can focus on what insights I need to make a decision or take action.”

For most B2B users, the key is intelligent simplification. Look for ways to simplify access to data through agent AI tools and conversational interfaces. This brings the focus back to action rather than dashboards.

Inside Beroe

While many procurement teams are still exploring AI’s potential, Beroe has already embedded it across both its platform and internal operations. The company, founded in 2006, provides procurement intelligence to thousands of organisations worldwide. Its platform delivers the critical data that professionals need to make informed sourcing decisions, from commodity prices and risk indicators to ESG scores and supplier intelligence.

“We provide all data that procurement needs for decision making, whether it’s cost data, risk data, ESG data or price data,” says Dhawan. “Our reimagination of the future is not just giving access to more data but creating that layer of recommendations that help you make decisions at speed and scale.”

One of the clearest examples of this in action is Beroe’s new ‘autonomous negotiations’ platform resulting from its recent acquisition of negotiation technology business, nnamu.  Delivering a significant evolution in the procurement technology landscape the platform enhances the foundational elements of AI and game theory with Beroe’s industry-leading market intelligence and, according to Dhawan, it’s being deployed successfully in live sourcing scenarios.

“This is a technology that is being used for multilateral negotiations,” Dhawan explained. “It’s no longer just a POC or prototype, it’s live and being used at scale.” These new tools reflect Beroe’s core mission: to help procurement professionals minimise surprises and maximise margins. 

Crucially, Beroe isn’t waiting for perfect data to apply these technologies. Instead, the company is using AI to work with what’s available — cleansing, interpreting, and extracting value from both structured and unstructured sources.

“You can use AI for cleansing data – even paper contracts,” Dhawan says. “Historically, we thought data had to be structured. But now, with vision models and image analytics, that’s no longer the case.”

Rather than striving for 100% accuracy before taking action, Beroe embraces a more agile mindset that balances speed and precision. 

Is mindset holding procurement back?

The technology is ready. The use cases are proven. So why do so many procurement teams still hesitate to embrace AI? “There’s this subconscious fear that I think is a barrier to adoption,” she said. “And to some extent, it’s to do with our friends in Hollywood.”

There’s the myth that AI is a job-threatening black box, especially in industries where trust and experience are the backbone of good decision-making. For procurement, where professional judgement and business context are critical, the idea of handing over tasks to AI can feel risky.

But Dhawan believes this fear is misplaced. At Beroe, AI isn’t replacing procurement professionals, it’s augmenting them. Whether it’s surfacing new suppliers, automating elements of negotiation, or flagging risks earlier in the sourcing cycle, the aim is to enhance human decision-making. She says: “I think with the new kinds of AI technology that’s available to us, it is an opportunity for us in B2B tech to embrace more human-centred design with higher focus on UX.”

Looking ahead

Looking ahead to 2026 and beyond, Dhawan sees procurement evolving into a more personalised and responsive function – one where AI plays a critical role in both strategy and execution.

“We see hyper-personalisation coming, both in supplier relationships and internal stakeholder engagement,” she explains. “AI will be at the centre of that.”

Rather than one-size-fits-all sourcing strategies, AI will enable procurement teams to tailor their approaches to specific business units, categories, or even individual suppliers. This means smarter segmentation, more relevant insights, and stronger commercial outcomes.

Another key shift is the growing ability to connect macro events, such as geopolitical shocks or regulatory changes, with micro actions inside the business. AI can help procurement teams identify these signals earlier, respond faster, and still align with long-term goals such as cost efficiency or sustainability.

“It’s about balancing your fire-fighting reactions to market events with your long term goals and strategy,” says Dhawan. “Procurement needs visibility and flexibility at the same time.”

Beroe is already moving in this direction. Alongside its growing AI capabilities, the company is refining how it delivers intelligence, building agents and recommendation layers. These not only inform decisions, but also help teams take action on them. Whether that means automating routine negotiations or proactively flagging supply risks, Beroe is evolving to meet the needs of a procurement function that’s more dynamic than ever.

As Dhawan points out, the goal isn’t to overwhelm teams with more tools, it’s to make their lives easier. “It’s about reducing complexity and giving procurement professionals confidence in what to do next,” she concludes.

For many procurement leaders, AI still feels like a long-term ambition. But the solutions are already here, and through companies like Beroe, they’re already in use. The challenge now is not whether AI can deliver value. It’s whether teams are ready to adopt the mindset and cultural shift that will allow them to unlock that value.

We caught up with Valdera’s Co-Founders to find out why chemical procurement comes with its own challenges.

Chemical procurement is one of the most complex and overlooked categories in the supply chain. Between navigating regulatory constraints, aligning on technical specifications, and finding qualified suppliers, even the most experienced procurement teams face major hurdles. That’s exactly the gap Valdera was built to solve.

Founded by sister-brother duo Sruti Arulmani (CEO) and Dheev Arulmani (COO), Valdera is an AI-native sourcing platform purpose-built for chemicals and raw materials. Rather than applying generic technology to a specialised industry, the team set out to reimagine chemical procurement from the ground up.

“Chemicals are one of the most complex sourcing categories,” says Dheev. “In order for a company to gain leverage from AI in this space, it must build the data infrastructure and the AI specific to this industry. That was the inspiration behind Valdera. Our vision was to partner directly with procurement organisations and help digitise that entire sourcing workflow all the way from supplier discovery to market intelligence to qualification.”

“Direct procurement is really at the core of your product’s margin,” adds Sruti. “In today’s economy, business leaders are focused on staying profitable, and that starts with ensuring the materials behind your products deliver on both margin and performance. Most of the physical products we touch and interact with every day come down to what they’re made of. That’s why we’re so passionate about chemicals and raw materials.”

The power of vertical AI models

While general-purpose LLMs are powerful, they fall short when it comes to industries like chemical procurement where context, precision, and deep domain expertise are crucial. Valdera has taken a different approach: building vertical AI specifically trained to understand the language, data, and complexity of chemicals and raw materials. 

“In procurement, especially for chemicals, one-size-fits-all AI doesn’t cut it,” says Sruti. “You need models that can interpret highly technical specifications, normalize data across formats and suppliers, and understand the nuances that determine whether a supplier can actually meet a request.”

That’s exactly what Valdera has built. “We will continue to layer the specificity of the chemical industry on top of an LLM that’s already good at structuring information and returning information in a useful way,” Sruti adds.

Dheev continues: “If you look at the generic LLMs available today, the challenge with these is that they fundamentally don’t work in this industry. The reason for that is that there are no LLMs that are trained on chemical specs. So what we’ve done is take those models and fine-tune them using our own proprietary dataset of chemical specs and properties, built over the last five years. That’s what positions us to drive real value for our users.”

Prioritising privacy

In the chemicals industry, data is sensitive. Trust is everything. Buyers are protective of their proprietary formulations, and understandably do not want their data used to train models that could benefit competitors. On the other side, suppliers are cautious about publicly listing their full product catalogs, especially when it comes to custom or high-value materials. Valdera was built with these realities in mind, and its platform is designed to protect both sides.

“In chemicals, suppliers are very protective of their proprietary catalogs,” Dheev adds. “And buyers are equally cautious about sharing proprietary formulations that go into their products. So there needs to be an independent third party that both sides can trust—someone who can facilitate discovery and sourcing without compromising confidentiality.”

“For us, it’s about protecting the interests of both buyers and suppliers,” Sruti explains. “We only use customer data to drive outcomes for that customer. We’re not here to train on anyone’s inputs or share information across the ecosystem. We’re here to help our customers get the best results for their business. That’s core to how we think about data privacy and partnership.”

The humanity of procurement

Even as AI becomes more powerful, procurement remains deeply human. Trust, context, and judgement are critical to strong buyer-supplier relationships, and no model can replace that. Instead, AI can enable teams to work faster, focus on strategy, and unlock new value across the supply chain. 

“Procurement is a human business,” says Sruti. “At the end of the day, it’s two people coming together and making an agreement. We believe that’s never going to change.”

Rather than add complexity or replace roles, Valdera’s AI helps teams do more with the resources they already have. That means less time spent on manual tasks like gathering supplier documentation or comparing specs and more time spent on strategic decision-making, relationship-building, and growing the business.

“Our customers don’t want to be buried in paperwork. They want to focus on the work that actually drives outcomes,” Sruti adds. “We’re here to take the most repetitive parts of the job off their plate so they can do that.”

“The chemicals industry is inherently relationship-driven,” says Dheev. “But today’s procurement teams are stretched thin. With Valdera, one person can now manage a broader scope: sourcing faster, accessing a wider network of qualified suppliers, and making smarter decisions in less time. That’s what’s getting our customers excited.”

Driving impact beyond cost

In chemical procurement, cost will always matter but it’s only part of the equation. The organizations leading the way are the ones thinking strategically: securing supply, expanding their supplier base, improving agility, and driving long-term value. That’s why more teams are turning to Valdera not just to cut costs, but to unlock a new level of visibility, access, and control.

“Our vision is to enable procurement professionals to leverage this data in order to give them market intelligence, expand their supplier network, and enable margin expansion,” Dheev concludes. “If you ask any of our customers, they’ll tell you savings are just table stakes when using Valdera. The real impact comes from levers like security of supply, innovation and sustainability. Those levers are harder to quantify, but they’re critical to the long-term success of the business.”

Implementing an outcome-based approach

In a crowded and fast-evolving tech landscape, it’s easy to get distracted by the promise of sweeping, all-in-one solutions. But the most effective procurement teams stay focused, starting with a clear understanding of their business goals and choosing technology that’s purpose-built to achieve them.

“Success starts with knowing the outcomes you’re trying to drive,” says Sruti. “Whether it’s sourcing the right chemicals, improving security of supply, unlocking savings, or advancing sustainability and innovation. Being clear about those goals is what helps you identify the right tools and partners to get there.”

That kind of clarity leads to faster wins and less wasted effort. “We always encourage customers to start where the impact matters most,” Dheev adds. “Don’t spread yourself too thin. Be specific about the problem you’re solving, define the KPI that matters, and test any solution against that. Just because a tool is popular doesn’t mean it’s the right fit. The best results come from targeted solutions that align with your most pressing priorities.”

Candex exists to solve tail spend by removing friction and giving procurement leaders time to focus on what truly drives value.

Candex isn’t chasing trends for the sake of innovation. Instead, the company is focused on solving one of the oldest and most persistent challenges in enterprise procurement: getting rid of the noise. 

Most in procurement will be familiar with Candex. Co-founded by Shani Vaza, Chief R&D Officer, and Jeremy Lappin, CEO, Candex is a technology-based master vendor that simplifies onboarding and payments to small and one-time vendors. It delivers a fast, compliant, and easy buying experience for requisitioners, while procurement gains automation, visibility, and control, reducing the vendor master by up to 80%.

For years, procurement teams have battled fragmented data, manual onboarding processes, and administrative bottlenecks. This results in time and resources spent on tasks that add little value, while strategic initiatives suffer from a lack of focus. 

For many organisations, 70% of vendors account for just 5% of spend. With Candex, procurement can manage that long tail of spend without adding operational burden. This frees up teams to focus on strategic priorities, redirect spend to preferred suppliers, and drive more value across the business. At this year’s DPW New York conference, Jeremy Lappin and Chief Customer Officer Danielle McQuiston shared how their platform is helping procurement evolve beyond compliance and cost savings into something far more valuable: clarity.

Addressing the core problem

While many conversations at the event kept coming back to the use of AI, Candex is doing things differently. “AI will transform procurement by uncovering better, more innovative vendors,” says Lappin. “But every new vendor comes with the burden of onboarding and compliance. That’s where Candex makes a real difference—we streamline that process by enabling fast, compliant purchasing without the heavy lift of onboarding. As companies adopt AI, they’ll need a system like ours to truly benefit from what it reveals.”

It’s about bringing the conversation back to the core problem. Lappin continues: “Candex makes it possible to onboard and pay new vendors in minutes, and without setup delays, while keeping procurement firmly in control. That’s where we unlock both agility and compliance.”

Solving procurement’s data problem

After speaking to many procurement leaders at events such as DPW New York 2025, one topic of conversation stood out: that messy data can be a major hurdle to overcome before successful AI adoption can occur. Companies dealing with multiple affiliates for a single vendor can find their data ends up split, duplicated, and difficult to work with at scale. 

“The fragmentation of data is a very old problem,” says Lappin. “One of the reasons it occurs is because the data is organised by affiliates and isn’t aggregated properly. This creates enormous processes.”

A dedicated platform can take on the heavy lifting of sorting through this data, without the use of complex AI models. Lappin continues: “One thing that Candex does to help this problem with smaller vendors is auto-aggregating affiliates under one corporate umbrella. It’s going to massively reduce the data problem by directing that small spend through us.”

McQuiston adds: “Data is the foundation of all the decisions that procurement makes. And the fact that they can consolidate that data within Candex, and look at it only when it’s relevant to what actions they have to take, is a huge contribution to the space for procurement.”

The right data at the right time

Candex isn’t trying to flood procurement teams with dashboards. Instead, it delivers data when and where it’s needed, stripping away the noise to surface what’s important.

“Our customers tell us we filter out 95% of the noise and highlight just the actions that matter. It’s not just visibility, it’s visibility at the right moment,” says McQuiston. “We have amazing reporting that has hundreds of lines of precision data in there, but it’s also aggregated in a way that it calls out to the things that need attention rather than being bogged down with the rest.”

“Oftentimes the stuff that goes through us is the stuff that procurement doesn’t have the time to give its attention to,” explains Lappin. “I think one of the most powerful things we do is get rid of the things they shouldn’t care about so that it’s very easy to see what they should.”

Simplicity wins

Some procurement tools are complex, slow to adopt, and full of friction, but Candex takes a different approach. “The users just want to be able to operate and do the work that they need to do to serve their objectives,” says McQuiston. “Procurement doesn’t have enough resources to deal with all of the small things.”

Bringing the focus back to the core function of procurement simplifies processes and reduces noise. When working with a lot of small vendors, procurement teams can get bogged down with admin and data. This is where Candex takes on the weight of that burden, and allows the business to move forward.

“At the end of the day, Candex is a tool that is so simple from a user perspective, but still has the confidence of the procurement organisation,” McQuiston continues. “It also shines a better light on the procurement function, which often gets a black eye for being in the way of things.”

Real people

For Lappin, the hype around AI isn’t what makes a product great; it’s real-world validation from customers. “There’s only one way to get through the hype,” he says, “and that’s to find other companies that are using the products and loving them. I think that’s one of the things that has made us successful.”

It’s one of the strengths of DPW; these events showcase real use cases, not just demonstrations. This enables attendees to see the impact of new technologies for themselves, and connect with the people behind them. “DPW has the ambition to use real use cases rather than just relying on demos,” says McQuiston. “That’s what’s a little bit different about DPW compared to some other conferences; the proof is in the pudding.”

Lappin and McQuiston also highlighted the importance of customer-led innovation through Candex Connects – roundtables all over the world that allow procurement peers to meet, discuss the challenges affecting them, and learn from one another, as well as sharing their own inspirational use cases. “We’re not just providing a solution. We’re providing a space where our customers get together, discuss best practices,” McQuiston adds. “And I think we’ve done that really well.”

Procurement, repositioned

Ultimately, Candex is about more than just a tool. It’s about reshaping the perception and potential of procurement teams, giving them the freedom and focus to lead strategically. By removing some of the friction of dealing with myriad small vendors, procurement teams are empowered to drive deeper value.

“Our whole business is focused on agility and value creation,” says McQuiston. “We have to be compliant because our customers demand it, but it’s not really about cost savings when you talk about tail spend. Procurement has always been in a position where they believe they can squeeze something out of every purchase. We’ve gotten to a point in the evolution of the function where they realise there’s a portion they can’t squeeze anything out of. It’s powerful to be able to let that go.”

“Procurement needs to be involved in decisions around spend,” adds Lappin. “They help negotiate. They figure out the right vendors. They really are needed in this process, which is why it exists.”

Candex isn’t just solving tail spend, it’s redefining how procurement operates at scale. With built-in controls, full audit trails, and seamless integration with existing systems, Candex empowers procurement to lead strategically, reduce supplier bloat, and stay agile in a complex world.

Candex is proving that the biggest transformation comes from helping procurement teams reduce the noise and get back to the work that matters. 

The proof, as they say, is in the pudding – and the evidence of TealBook’s increasingly-successful evolution lies in its client relationships.

We talked endlessly about data and AI at DPW New York 2025. A universal truth is that the successful implementation of AI requires clean data. It doesn’t have to be perfect, but businesses certainly need to have a decent handle on their data before adopting AI tools successfully. 

To help make this a reality, North American data and software company TealBook has recently announced a legal entity-based data model. It’s designed to resolve supplier records to the correct legal entities, map parent-child relationships, and enrich profiles with verifiable attributes, enabling accurate supplier data to flow seamlessly into procurement systems and AI applications. “This is part of a 12-year journey for TealBook,” says Stephany Lapierre, the company’s Founder and CEO. “Our vision has always been to build a way to enable procurement organisations to have high quality data with a lot of integrity. That way, you give them the trust they need to put data directly into their systems. 

“Twelve years ago, we underestimated the complexity of getting large enterprises to trust a third-party data solution. As part of our journey, we started using AI early on to find information where it exists on supplier websites and databases. We also started creating digital profiles in a structured way for procurement to access it, match it to their vendor master, and use it.”

TealBook’s data evolution

But, again, at the beginning, TealBook couldn’t be sure whether the data was high enough quality. In 2017, the company was primarily known as a supplier discovery application. It was positioned as a pre-sourcing engine to help procurement teams identify alternative suppliers. At the time, TealBook’s data and models enabled it to determine which companies were similar to others. This meant users could search and find comparable suppliers to expand their sourcing options.

“But that was just a way for us to deliver something that was underserved in the market,” Lapierre continues. “Then our customers started asking for certificates, which are hard to collect and match. They needed cleaner data. They felt they were under-reporting. So in 2018, we started to see whether our technology could refine the data more. We focused on certificates and supplier diversity. We collected great use cases along this journey, and the vision never wavered.

“Just last year we released a new technology – completely different, really sophisticated – allowing us to pull from a lot more data sources. We have provenance so our customers can actually verify where the data’s coming from. We can match it to vendor masters. And now, we also have this new model that includes 230 million verifiable global legal entities from across 145 countries’ registries. We marry this with global parent and child hierarchy, which is really hard for our customers to match themselves.”

Partnership with Kraft Heinz

Now, after 12 years of that vision, TealBook is deeply proud of what it’s achieved. Part of its ability to get to this point is due to early adoption from key customers. Kraft Heinz is a business which Lapierre describes as a “co-innovation partner”, and has been invaluable in helping TealBook achieve its recent goals.

From the perspective of Stefanie Fink, Head of Global Data and Digital Procurement at Kraft Heinz, the partnership has been an immediately valuable one. “It really started with having a visionary, like-minded relationship,” she says. “That’s an important piece of it, because my vision for procurement is that we are partners in our enterprise. 

“In order for us to do our jobs, we have to bring in the right data for use. This is where Stephany’s partnership and vision really resonated. We were really looking for diversity and we could make things easier for our partners, while making sure we had the right people in our ecosystem. We also had to lift up the hood and see what was underneath everything we’ve got. Stephany brought our vision to life. TealBook has evolved too, as we’ve seen; it’s more about orchestration and software-as-a-service. It has been a partnership of need and we cannot continue to do other things without this kind of partnership around data.”

When initially dabbling with this relationship, Fink was clear that Kraft Heinz had no desire to be taking care of more stuff. What she wanted from TealBook was a strong focus on good quality data. After last year’s product release from TealBook, Kraft Heinz already saw its data enriched by 25%. The recently-announced new data model gives the business and TealBook’s other customers the right structure tied to a legal entity, which is a highly credible anchor. “We’re able to do entity resolution – all automated – remove all the duplicates, and then you start with a clean, digitised vendor master,” says Lapierre. “That’s what brings further enrichment.”

The challenge of assessing data quality

Assessing its data before involving TealBook was important for Kraft Heinz, but challenging for such a large organisation. “We had to fail first and fail fast,” says Fink. “We tried some AI around fixing things early, but that didn’t work for us. It was a real eye-opener, realising where this next evolution could take us. Particularly regarding focusing on AI and agents for the right things, not the meaningless things. Before, we were asking agents to tell us if things were duplicates, when we should have been asking: what do these suppliers offer? Where is the innovation? Where is the value?”

What surprised Fink most when looking under Kraft Heinz’s hood was the lack of attention that was being paid to what the business was doing. “It was amazing that nobody had questioned it sooner,” she says. “So I said, let’s take this as a crawl, walk, run approach. I have a wonderful CPO who really understands where we want procurement to go as a function. She was excited about us just getting it done and getting people involved, and that’s what it takes: real pride in ownership of the data.”

Getting engrossed in GenAI

True partnership and an all-in approach has enabled Kraft Heinz to work successfully with AI. This is something some businesses are struggling with as the conversation around artificial intelligence grows louder. For Lapierre, as the CEO of a tech company, adopting AI successfully has meant trying and failing and being fully entrenched in AI as it has evolved.

“We’ve been using AI in our technology since 2016,” she states. “We’re an early adopter. We’d be talking about scraping data, and data in the cloud, and AI models, and our customers’ pupils would widen in surprise. We’ve come a long way and the market has come a long way. 

“The technology we deliver today wouldn’t be possible without the AI tools now at our disposal. We used to build models; we don’t do that anymore. We spend a lot of time investing in engineers to build and test models. That’s made us so much more efficient. I use GenAI every day for so many things now. I’m encouraging my team to be so involved in AI. That’s how you build expertise. You need really strong expertise to use GenAI well. 

“Getting good with AI is about taking risks and having a leadership team that pushes for new things. Suddenly, the successful use of AI becomes a habit.”

Why businesses should prepare themselves for AI by not getting lost in the whirlwind of hype and focusing only on what works for their needs.

With AI being the topic of conversation for procurement professionals right now, it’s easy to get lost in the maze of conflicting information. Vroozi is a procure-to-pay platform powered by robust AI capabilities to deliver meaningful use cases. CEO and Co-Founder, Shaz Khan, takes approaching AI the right way very seriously. 

For Vroozi, the use of AI is a two-sided coin. It’s an organisation that talks about AI both in production and consumption. AI is a tool that has been a game-changer, because it has enabled Vroozi’s software and technology engineers to be able to rapidly prototype and develop code. And that code is beneficial for creating feature sets and capabilities that the company wants to introduce to the market.

“Similarly, we take steps to look at how a customer interacts with our software for the first time,” Khan explains. “The implementation process is also ripe for consuming and producing great results with AI. Imagine you go through some type of interview wizard where you prompt the system based on your region and industry. The system will self-configure according to your business unit. This is real intelligence that understands your business at a different level, as well as the competitive landscape, and brings in best practices to deliver incredible results.”

Getting the approach right

Having said that, Khan freely admits that we’re in the early innings of AI adoption. For him, leaders should adopt a multi-pronged approach to implement AI. The first move is to assemble a team. “One key area with AI is that a lot of companies are relying on outside experts that don’t know the business and the goals that they’re trying to achieve,” he explains. 

“You should invest in your own people before you invite outside parties in. Bring that education and assemble a use case, before assessing the problems you’re trying to solve and determining whether AI is a good tool set or capability to solve the problem. If these things match up, execute the game plan, bring in the right technologies and the right expertise, and only then bring AI capabilities into your workforce.”

The challenges

With this being the “early innings”, there are also barriers and challenges. The main issue, from Khan’s perspective, is security. “There’s a trust aspect that has to be looked at,” he explains. “There’s also an ethics aspect. Are you delivering the right results? And how much autonomy are you giving AI and its agents to go out and deliver those results for you without any human interaction? I think the companies that get it right will strike a balance between the trifecta of automation, really great AI technologies, and a balance of human interaction to create an overall output.”

There’s also the question of data. If the data isn’t clean, output will be compromised and lead to poor results. We haven’t seen the worst of what can happen, Khan believes, and AI has the potential to create scenarios that are hard to recover from, if used poorly. “We need to prepare ourselves now to prevent those types of potential calamities from happening,” says Khan. Which is the entire point of DPW: for procurement and technology leaders to educate and learn about best AI practice. 

This allows people to cut through the, as Khan puts it, “hysteria” around AI that can cause problems for businesses. They’re rushing to solve problems, and while leveraging AI can be a component of a complete holistic toolkit, it can’t be the only answer. “A lot of companies today still struggle with getting their businesses off spreadsheets,” he states. “AI should be an equaliser and enabler to get it right.”

Structuring unstructured data

For Khan, in order to ready themselves for AI, procurement professionals and practitioners need to be absolutely committed to data management and governance. “What companies often forget is that much of today’s data is unstructured. It’s not neatly stored in databases – it might be a chat, an image of a spec sheet, or a contract never digitised. This unstructured data often can’t be used by AI models today, so companies risk only addressing a small part of the challenge. Data governance has to be an ongoing exercise.”

Having said that, Khan is keen to differentiate between clean data and perfect data. In fact, many procurement professionals we spoke to at DPW New York 2025 said the same. The message is: don’t wait around for everything to be perfect, or you’ll never start.

“Good enough data is just fine,” Khan says. “But if you’re going to continue to feed your AI engines and algorithms bad data, your outputs will be compromised. Companies need to have data governance strategies and upfront policies in place so that they can manage this, independent of the people that offer them.”

AI creating a complete picture

While treading carefully is important, Khan is equally keen to extoll the many virtues of AI for procurement professionals. There are many incredible use cases already, and AI tool sets and algorithms can effectively interrogate a company’s data and give them the answers they require. AI enables these users to have a complete picture of their buying cycle, and allows them to get additional information for where they can pivot.

“This is where the true power of agentic AI will come into play,” says Khan. “When you can fully trust the system inputs, AI will be able to orchestrate those processes autonomously, and present that information to an end user for final decision.”

Khan is very excited about what Vroozi is doing within its own AI layer. The business looks at AI and intelligence as a pervasive thread across its entire tech stack. Every aspect of its platform has some kind of AI enablement, although it’s not an AI-first company. 

“We follow three distinct areas where we are thriving on the AI front,” says Khan. “First is intelligent document processing. Can we take structured and unstructured data such as contracts, quotes, work orders, and invoices, and populate them automatically onto a screen without any human touch? Processing invoices might require an army of people typing in data, and they might not capture it all. But an AI toolset can take millions of records and process them simultaneously. That’s the power of AI.”

The power of hyper-personalisation

The second area is what Vroozi calls hyper-personalisation, where it intensely personalises the platform to meet a company’s preferences and needs. It’s about how AI can find trends and not only predict the user’s needs, but also help take the next steps. This includes finding suppliers and ordering things that are needed, so that workflows aren’t disrupted.

“Then we also have what we call the push economy,” says Khan. “AI’s power is in pushing and giving people head starts. So when you talk about AI algorithms and look at analytics, it’s about how AI can present to companies in the procurement space when they need to lock in favourable pricing on products and services, and predict when you are seeing potential fraud scenarios based on trends and patterns. You need a lot of data for those AI models to train on, which is why I say we’re in the early innings. It takes time, but it’s incredibly powerful when you get to that point.”

The benefits ahead

At such an exciting time for procurement, 2025 and 2026 look bright for leaders in this space. Not only procurement, but also supply chain and FinTech, are set to benefit from what AI can do with data. 

“There’s going to be a focus on how to capture and harness data, and feed it into AI in a way that produces results,” says Khan. “What we’ll see in the next two years is that AI has now learned from the data that’s been fed into it. You’re going to see higher-quality results and better outcomes. Again, I would caution companies to define the problem first. Then determine if AI is an absolute enabler and game changer. We believe AI can be an influencer and supercharger in terms of productivity. However, there needs to be specific use cases that make sense for corporations. 

“In 2025 and beyond, you’re going to see great technologies embedded into organisations that really work.”

DPW is set to hit New York for the second year in a row, bigger and better than in 2024, and with an extensive list of experts set to speak.

After the success of last year’s DPW NYC Summit, Digital Procurement World is making the event bigger and even better for 2025. DPW New York 2025 will take place at the extremely stylish ZeroSpace Brooklyn on the 11th and 12th of June. The theme this year is ‘Put AI to work’, focusing on the practical applications of artificial intelligence, and the opportunities for innovation across procurement.

The speakers have not yet been finalised and more may be added, but the event will include:

  • Brian Solis, Head of Global Innovation, ServiceNow
  • Jennifer Moceri, CPO, Google
  • Al Williams, CPO, Invesco
  • Eva Choe, CPO, The Chlorox Company
  • Kat Devlin, Head of Procure-to-Pay Operations and Travel & Expense, OpenAI
  • Oliver Gall, CPO, Prudential Financial
  • Maria Jesús Saénz, Director Digital Supply Chain Transformation Lab, MIT
  • Victor Miller, Chief Compliance Officer, Honeywell
  • Noah Eisner, Founder & Advisor, Coupa/Rebar Advisors
  • Bawana Radhakrishnan, SVP Global Supply Chain Digital Transformation, Colgate-Palmolive
  • Chris Duffey, Head of GenAI, Adobe
  • Elouise Epstein, Partner, Kearney
  • Sarah Luisi, VP Group Strategic Sourcing & Operations America, LVMH
  • Tony Filippone, Chief Research Officer, HFS Research
  • Lauren Hymen, VP Strategy & Transformation, PepsiCo
  • Adam Brown, Global Director Procurement Technology Platform, Maersk
  • Mitchell Toomey, VP Sustainability & Responsible Care, American Chemistry Council
  • Stefanie Fink, Head of Global Digital Procurement, Kraft Heinz
  • Carlos Hernandez, Head of Procurement Excellence & Framework, Sanofi
  • Rosalia Snyder, Director Source-to-Pay, Microsoft

DPW New York is set to be a hub of inspiration and insight, with a broad range of figures sharing their knowledge and experiences with guests. After developing the concept of DPW in 2019, Founder Matthias Gutzmann’s event has grown into something that entices procurement professionals from all over the world. 2024 saw the DPW team putting on an intimate, invite-only New York event. This year, DPW is scaling up – and we at CPOstrategy to be there on the ground floor.

Join us at the 2025 event by buying your tickets here.

There were many inspiring themes on peoples’ lips at DPW Amsterdam 2024, including collaboration. One of the major reasons procurement…

There were many inspiring themes on peoples’ lips at DPW Amsterdam 2024, including collaboration. One of the major reasons procurement professionals flock to DPW is the opportunity to learn from their peers, strategise with them, and make connections in order to partner up and grow. We sat down with Dr Matthias Dohrn and Sudhir Bhojwani, business collaborators of several years who prove the benefits of coming together for growth.

Dohrn is the CPO of BASF, a global chemical company, making him responsible for direct, indirect, and traded goods. Prior to this role he headed up a business unit – and things weren’t going well. It got to the point where the question of how to drive performance became a priority. The business needed to consistently drive value, not just be, in Dohrn’s words, a “one-hit wonder”. 

“I’ve been in a lot of meetings where people come together and say, ‘we should do something’ – but the next month, you have the same meeting and nothing has changed,” Dohrn explains. “Structuring an organisation in a manner that really drives and extracts value, that’s key.”

This eventually led to meeting with ORO Labs and asking how it could help BASF build a solution that enabled the growth it needed. Sudhir Bhojwani, CEO and Co-Founder of ORO Labs, knew Dohrn already from his SAP Ariba days He even credits him with explaining what ‘supplier management’ means. When he co-founded ORO Labs, his team wanted to focus on being a procurement orchestration platform and build smart workflows. 

“When Matthias was running his business unit, as he mentioned, he had this Excel-based process where he was running thousands of measures,” Bhojwani explains. “It was an interesting process. We let him know that our workflow could solve his problems way more efficiently. So we worked with this business unit at that time and saw some positive results. Roughly a year later, Matthias took over as CPO and wanted to bring in the same structure that we’d implemented at the business unit, but on a bigger scale.”

Kicking off the project

Getting this project off the ground meant having a business case, first and foremost. This required actually sitting down with the people who do the ordering, because procurement needed to understand the options it had. “So, with every plant in BASF – all approximately 150 of them – we had to talk to them, and look at the individual spend of each plant,” Dohrn explains. “This included direct procurement of raw materials, energy, logistics, indirect spend for services, and so on. Then we had brainstorming workshops, generating between 30 and 50 improvement measures per workshop.

“Then, because it’s bottom-up, you bring in the performance management tool to prioritise the measures. Then you go through the business case and confirm the value. As these measures go through the implementation levels, it’s very satisfying because you can see how you’re making progress in driving value every day. The people who own the measures set the timeline themselves, and there are incentive schemes behind the best ideas.”

Driving value to motivate people was a priority from the start, and something BASF discussed with ORO Labs early on. People are able to see the status of their measures thanks to ORO Labs, which means they’re able to see the results and also see other peoples’ great ideas. “You create a wave of people who are driving value, much faster,” Dohrn adds. 

Addressing the challenges

From Bhojwani’s perspective, there were multiple challenges when approaching BASF’s requirements. Fundamentally, ORO Labs was building a brand new workflow, as BASF required a very different take on what that means. ORO understanding how that translated to what BASF needed was the first challenge.

“We needed to understand the structure Matthias has, and what the work streams should look like,” Bhojwani explains. “We had to figure out how to model these work streams within our tool in a way that made sense. An indirect work stream is not the same as something in direct material; those things are very different. So here’s where our workflow tool worked quite well. We could customise how direct material work streams should behave, compared to indirect work streams, how country A should behave compared to country B, and so on.

“It was important that we could bring flexibility, and that we could solve workflow problems in innovative ways. Another challenge was the user experience part. We had to make sure that the system worked for everybody, otherwise nobody would participate in the system. We had to keep working on it, keep fixing it, and that took a good 18 months of tweaking. The biggest thing has been understanding how BASF actually generates value, and how a workflow can help. It’s been very interesting.”

Identifying the value

Collaborating with ORO Labs has unlocked an enormous amount of value for BASF. Dohrn has seen the business come together thanks to the work that was put into communicating and collaborating with every site across businesses and functions, and BASF is continuing to conduct workshops for further improvement. There’s also, of course, the EBIT being gained from the business cases, putting BASF on track to generate sustainable savings.

“There’s been a real mindset change,” Dohrn states. “We’re now really focused on value, and we’re using this ORO Labs tool to hold each other accountable. You can see the progress every day. We call it the iceberg because you can see below the implementation levels. Everything starts off below the water line – no value created yet, just potential. Then you see it moving beyond the zero line into the positives, and every day I can see the difference between now and yesterday with just a click. It’s so fulfilling to see what we have created.

“We’re able to see the interaction with the plants, the interaction between people, and interaction with the requisitioners, and we can create something positive together. I think that’s huge. It’s only going to bring more and more value over the next few years. People are used to the tool now, they find it easy. It has created value and everyone’s happy because the cost pressure on the plants has gone down.”

Tonkean is built differently. Tonkean is a first-of-its-kind intake and orchestration platform. Powered by AI, Tonkean helps enterprise internal service…

Tonkean is built differently.

Tonkean is a first-of-its-kind intake and orchestration platform. Powered by AI, Tonkean helps enterprise internal service teams like procurement and legal create process experiences that transform how businesses operate. The transformation hinges on four key functionalities, intake, AI-powered orchestration, visibility, and business-led configuration (no-code), which internal teams leverage to use existing tools better together, automate complex processes across teams and tools, and empower employees to do better, higher-value work. 

Jennifer O’Gara is the Senior Director of Marketing, Director People and Talent at Tonkean. O’Gara’s route into procurement came when Tonkean became active within the space. “While we initially focused on solving complex process challenges across entire enterprises, we quickly realised how much procurement could benefit from this approach,” she explains. “Procurement processes are inherently complex and collaborative and cross-functional, making them a perfect fit for Tonkean’s orchestration capabilities. We were right. Since we entered the market, we’ve been blown away by how enthusiastically process orchestration has been received. That’s keeping us excited about procurement.”

This year, DPW Amsterdam 2024’s theme was 10X, with a focus on the importance of companies aiming for a moonshot mindset instead of an incremental approach. As far as O’Gara is concerned, achieving 10X improvements in performance is within reach for procurement, but it requires a shift in how the function thinks about growth. “It’s not just about doing more of the same faster—it’s about fundamentally rethinking the processes that drive your business,” reveals O’Gara. “Your processes are like your company’s infrastructure. When you optimise at the process level, you don’t just create incremental gains; you can fundamentally transform the way you operate at scale. You can remove bottlenecks permanently, facilitate easier collaboration org-wide, and drive true, reliable automation across all your teams and systems. The result is exponential performance improvements that can be sustained over time. Aiming for 10X isn’t just a lofty goal—it’s achievable. The key is focusing your improvement efforts at the process level.”

However, the journey to 10X isn’t straightforward. Some organisations believe they can just layer new technology on top of old processes. According to O’Gara, this won’t unlock 10X growth and will still leave your company lagging behind. “Getting to 10X starts, instead, with building better processes—and moving away from the idea that any one technology will do the trick,” she says. “For example, AI. AI is powerful, but it’s just a tool, and it’s only valuable if used strategically. To truly unlock 10X improvements in performance, you need to integrate technologies like AI into your core processes in a way that’s structured, strategic, and scalable. You will only ever be as innovative or adaptive or as effective as your processes are dynamic, dexterous and dependable. How do you build better processes? That’s where process orchestration comes in.”

Process orchestration refers to the strategy — enabled by process orchestration platforms — of coordinating automated business processes across teams and existing, integrated systems. These processes can facilitate all procurement-related activities. Importantly, they can also accommodate employees’ many different working preferences and styles.

Instead of simply adding to an organisation’s existing tech stack, process orchestration allows companies to use their existing mix of people, data, and tech better together. One promise of process orchestration is to finally put internal shared service teams like procurement in charge of the tools they deploy.

This goes a long way towards solving one of the enterprise’s most vexing operational challenges: the inefficiency of over-complexity born of too much new technology. It also allows procurement teams to truly make their technology work for them and the employees they serve. As opposed to making people work for technology. Process orchestration breaks down the silos that typically separate working environments. No longer do stakeholders have to log in to an ERP or P2P platform to submit or approve intake requests, just for example. The technology will meet them wherever they are.

“It helps you create and scale processes that can seamlessly connect with all of your existing systems, databases, and teams, while accommodating the individual needs of your employees and meeting them in the tools they already use,” adds O’Gara. “Orchestration allows you to automate processes across existing systems—like ERP, P2P, and messaging apps—so data flows automatically between them. It allows you to surface technologies like AI when and where they’re most impactful for stakeholders.”

Speaking of AI, it remains one of the biggest buzzwords in procurement. Indeed, anything that offers Chief Procurement Officers cost savings and efficiency will prick their ears, but the question remains: can the industry fully trust it? O’Gara believes it is ‘overhyped.’ “When it first emerged, it wasn’t just seen as a new tool—it was almost treated like magic,” she explains. “The hype still hasn’t died down, and that’s been a problem. It’s created unrealistic expectations and skewed perceptions of what innovation with this sort of technology actually entails; I can’t tell you how many procurement leaders have admitted to us that they’re getting pressure from the C-suite to invest in AI-powered tools just because they have ‘AI’ in the name.”

While clear with her scepticism regarding generative AI’s current place in the market, O’Gara recognises its potential. “Generative AI’s potential is huge—especially if it’s deployed strategically at the process level,” she reveals. “It could truly transform procurement, shifting teams from transactional roles to strategic partners who are involved early in the buying process and appreciated for their unique expertise—and for the unique business value procurement alone can deliver. But AI on its own isn’t going to save procurement. The reality is, many organisations jumped into the AI hype without a real strategy, and that’s why they haven’t seen its full value yet. The key is integrating AI thoughtfully into core processes—that’s when we’ll start seeing its real potential.”

With an eye on the future, O’Gara expects the next year to continue to revolve around AI adoption, but in ways that deliver real value. “I think we’ll see procurement truly stepping into a more strategic role, with businesses recognising procurement as a key partner, not just a back-office function,” she says. “This shift will be driven in part by new technology, especially process orchestration and AI, helping procurement bridge gaps in communication and collaboration across teams. Another big trend will be the rise of personalised, consumer-like experiences in procurement—making buying and approval processes smoother, more intuitive, and better tailored to the needs of individual users. It’s an exciting time, and we’re just scratching the surface of what’s possible.”

‘Digitalisation is just the beginning’ according to Crowdfox, a business which aims to improve procurement by bettering the ordering process…

‘Digitalisation is just the beginning’ according to Crowdfox, a business which aims to improve procurement by bettering the ordering process while lowering costs. That tagline speaks to Crowdfox’s dedication to advancing procurement using the exciting tools the sector now has at its disposal, and this push to innovate is being driven, in part, by Martin Rademacher, Crowdfox’s CSO. We sat down with Rademacher at DPW Amsterdam 2024, the exciting vibe of the event spreading far and wide around us. 

Rademacher is responsible for everything to do with Crowdfox’s customers. From sales, to marketing, to customer onboarding and success, and everything in between – that’s Rademacher’s wheelhouse. His background is in management consulting, with a focus on procurement and supply chain. So, while he started out in sales, he soon decided that procurement was the direction to move in.

“During my time as a consultant, I found procurement very interesting because it’s so versatile,” explains Rademacher. “Of course, it’s about the transactional phase with suppliers – but also you’re so connected with R&D, production, logistics, and so on. You have so many fields of application.”

10X thinking

At DPW Amsterdam, the overall theme of the two-day event was 10X. The concept of the 10X rule is around taking a goal you’ve set for yourself and multiplying it by 10. It’s an aspirational tool, coaxing all of us to aim higher. In procurement, that means innovating.

“In the last two years we’ve seen tools like ChatGPT trigger some big adaptations in the procurement world,” says Rademacher. “I think there is the opportunity now to achieve 10X in terms of efficiency gains. Especially when it comes to making better decisions, more quickly, in order to analyse data. We’re now finding out what AI can really do, and focusing on how that can help with strategy.”

For Rademacher, he believes people have the right tools to achieve 10X – it’s now about implementing those tools properly, and having the right culture.

“In the last couple of years, implementing tools has become much easier than it was a decade ago,” Rademacher continues. “They’re so well designed that they fit into large procurement systems, and can connect with other best-of-breed tools. I’d say implementation should be the focus, but it’s not that complicated anymore. AI tools especially are really intuitive. As a result, you don’t need much in the way of change management. People just intuitively cooperate with AI.”

The question of security

The big challenge, Rademacher believes, is data protection. When it comes to barriers preventing a 10X approach, concerns around data privacy are among the biggest issues. As a result, organisations have to take the necessary precautions before plunging into making major technological changes, or risk falling at the first hurdle.

“In the EU, it’s all about data protection,” says Rademacher. These concerns led to the Artificial Intelligence Act (AI Act) coming into force in the EU in August 2024. It was created in response to the rise in generative AI systems, and ensures that there’s a common regulatory framework for AI within the European Union. “Companies are very concerned about their data, but I wouldn’t call this an obstacle – more like a challenge.

“The key is making sure you have a protected environment. Start with a pilot in a limited space, for instance, and then make sure you can find a solution you can control in a safe environment that suits your operations.”

Shooting for the stars

With these measures in mind, it’s never been easier to implement new technologies and aim for that ambitious 10X goal. Certainly, advanced tools have never been more accessible, or more straightforward for businesses to educate themselves about. Even as recently as two years ago, integrating multiple elements of advanced tech – like genAI – wasn’t really possible.

“It definitely wasn’t easy to combine sources the way we can now,” says Rademacher. “Now, you can provide a much better user experience experience not only for procurement professionals, but for anyone who takes advantage of what procurement introduces to the company. Finding the supply to fulfil your demand is so much easier now. You no longer have to have difficult conversations starting with an email to your procurement professional to identify whether you’re allowed to purchase from a certain vendor, and whether they’re vetted or not. Streamlining processes like that makes that information quick and easy to identify.”

Additionally, we’re at a point with advanced technology where the tools we have access to are capable of handling more and more volumes of data at an extremely fast pace. “In consulting, for example, every project started with an analysis of the status quo of a firm,” says Rademacher. “We’d figure out who the vendors are, the categories, and the spend. Depending on the workforce, this could take one or two weeks. Now, with the tools we have access to, you can gather this information in 24 hours.”

The evolution continues

While we’re seeing many of the benefits that come with genAI and other advanced technologies already, it’s only the beginning of what we can achieve using these tools. GenAI is at a peak right now, but according to Rademacher, it might take another five years to achieve its full productivity level. “There’s also this ambitious idea going around of fully autonomous procurement, and it’ll likely take a good 10 years to reach that level of productivity,” he adds. “On the other hand, nobody is talking about robotic process automation anymore because we’re almost there with that already.”

Another challenge is data quality. The cleanliness of an organisation’s data can make or break its use of advanced technology, which is where making the right connections with service providers comes in. “It’s a good example of when to find the right partner,” says Rademacher. “Find someone from the innovative tech space who you think you can rely on. Don’t try to do it all on your own – that’ll just hold you back more and more. Be bold; find the right partner to make the most of your data and that helps you constantly improve. There’s a lot of talent out there, a lot of solutions that are really helpful for organisations of all sizes. You’ll improve step by step.”

There’s no doubt that it’s an exciting time for procurement. The atmosphere at DPW Amsterdam 2024 was electric for that exact reason. The event, in Rademacher’s words, has “a really strong influence on the sector and enables attendees to learn about how the landscape is developing in real time”.

“The AI-driven future is already a reality for us,” he states. “We’re beyond the pilot phase with our AI tool, ChatCFX, and now we really want to drive market share. 2024 going into 2025 sees us in a good position with high user visibility, and now we’re adding ChatCFX to the game, pushing it into the European market. We’re at DPW Amsterdam to meet the players who are looking for a solution exactly like ours, making it an invaluable place to be.”

Certain procurement pain points can prove debilitating for a business, freezing it in its tracks when it’s trying to grow…

Certain procurement pain points can prove debilitating for a business, freezing it in its tracks when it’s trying to grow and improve. This is where companies like Candex are able to step in and turn a headache into something so simple, it requires no further thought. 

Danielle McQuiston is the Chief Customer Officer at Candex. She’s been with the fintech startup for five years, spending two decades prior to that working in procurement at Sanofi. Candex is a technology-based master vendor that allows customers to engage with and pay one-off or small suppliers without setting them up in their system. This means that the system doesn’t get clogged up with suppliers that are rarely or never going to be used again. 

“We’re primarily used for what companies consider tail spend, and we typically deliver it as a punchout catalogue for a really simple user experience,” McQuiston explains. That ability to support lots of customers was what drew her to the role. “Coming to Candex, I was very excited about what they were doing and wanted to help as many companies as possible.”

Addressing tail spend

That ability to address tail spend in a unique way is the main thing that differentiates Candex. It’s an enormous problem for procurement professionals. The way Candex delivers it is through a digital plug-and-play solution, removing the need to be dependent on human intervention. “It’s a horizontal solution for any good or service, and it’s available in over 45 countries now,” says McQuiston. “It becomes part of the customer’s ecosystems and leverages the P2P process. It’s super compliant, and allows a lot of control.”

With this tool in place, Candex’s customers are able to gain much better control over their smaller purchases, defining what is allowed to be purchased. For many, this tool allows them to put tighter restrictions on purchases than their e-procurement systems are able to do. Additionally, Candex runs suppliers through screenings every day, which generally doesn’t happen for small, rarely-used suppliers.

“We run really detailed compliance and sanction screening against all those vendors, taking away a really daunting task from customers,” McQuiston states. “Customers probably check those suppliers once when they’re being set up, but then they never look at them again. Every day, we’re checking them, and keeping an eye on them when our customers can’t.”

Candex’s reporting is extremely detailed, and provides customers with the kind of real-time visibility they wouldn’t normally get – even in their own systems. Reports are generated weekly or monthly, including the diversity status of suppliers. This is data that a lot of clients then feed directly into their Power BI tools and data lakes, meaning they’re able to integrate it seamlessly into their other data.

Cleaning up the data

The whole purpose and aim of Candex’s tool is to make life easier for its customers, streamline its processes, and improve efficiencies. To that end, standardisation is key when it comes to business improvements, and that includes preparing data prior to implementing new technologies and processes. When it comes to ensuring a business’s data is healthy –  before launching into major tech changes – accepting the necessity of making foundational change is key. 

“Data cleansing processes are ugly, cumbersome, and long – and everyone has to do them,” McQuiston comments. “But you have to accept that you’re going to have to do something, if you want to get a handle on your spend. First and foremost, you need to standardise the way you name things, the way you put data in the system, and you need a really strict discipline around that. All of those things will make backend processes a lot easier.”

It’s just one of many considerations CPOs need to bear in mind when seeking out technology solutions and implementation. Modern procurement departments have a seat at the wider business table now, and what they do impacts the entire business. So when it comes to utilising solutions for the sake of the business at large, there are many factors to think about.

“As with any data or technology, it’s all about garbage in and garbage out,” says McQuiston. “Any advanced technology should be used with caution and viewed with a critical eye. You have to start with knowing what you want out of it. 

“A lot of times, people put technology in place because it looks interesting, but you need to start with the problem and work backwards. If the issue is user experience, you need to make sure that whatever you’re implementing focuses on a positive UX. If the problem is unclean data, you need to make sure you’re putting in place all the foundational elements you need to make that better. Always start from the perspective of implementing a technology based on a problem, rather than the other way around.”

Improving UX in 2025

It’s a seriously dynamic time to be involved in procurement right now, as evidenced by the intense buzz around us at DPW Amsterdam as we sit with McQuiston. As we look ahead, she envisions that procurement will have an increasingly powerful impact on user experience. This is particularly important at a time when tasks are becoming increasingly automated, with less and less direct human interaction.

“We’re also seeing a pretty big leap forward in terms of best practice sharing amongst our clients,” says McQuiston, something that events like DPW also encourage. “For Candex, a big theme of 2024 has been getting our clients together to share best practices and information, helping them to develop further expertise in the field. 2025 will have more of the same, but there’s now a higher level of maturity out there in the way customers are considering tail spend. As people continue to onboard solutions, it will be interesting to see how that impacts the UX in relation to Candex. We’re always looking for ways to make our tool more user-friendly and add better functionality.”

All of this is why Candex’s customers love the company. On a base level, Candex takes a complex pain point and makes it simple. In a broader sense, the reason Candex is becoming so popular is the way it works with people. “The most common feedback we get from customers and suppliers is that we’re great to work with because we’re so flexible,” says McQuiston. “We hired a team of procurement experts, so our team is made up of people who really understand the pain of our clients, and can anticipate their fears, their needs, and cater to those.”

The buzz of DPW Amsterdam draws in the most innovative minds across the industry. They’re there to have riveting conversations…

The buzz of DPW Amsterdam draws in the most innovative minds across the industry. They’re there to have riveting conversations with their peers, to inspire, to teach and learn in kind. And they’re there to keep an eye on an industry that doesn’t stop changing for the better.

This is a big part of the appeal for Fraser Woodhouse. Woodhouse leads the digital procurement team within Deloitte in the UK. His team historically focused on large-scale transformations, providing a backbone for suite implementation. Increasingly, however, it’s turning its attention to helping clients navigate a plethora of technology solutions. The goal is to help them build and scale, and take advantage of some of the more niche functionalities available. These are things that can be highly daunting for many customers, which is why Deloitte is there for support.

“We’re helping clients ask the big questions,” Woodhouse explains as he sits down with us at DPW Amsterdam 2024. “How do you connect the technology in a way that allows data to flow from one system to another? How do you deal with processes that are connected to solutions which all have their own release cycles? How do you approach change management? That underpins so much of where the value is going to be achieved, and a lot of the providers will be focusing on it. They just might not have the same capability that Deloitte can provide.”

For Woodhouse, getting involved with procurement was a total accident. He even left the sector at one point, but his strong foundational knowledge – and the exciting landscape procurement is enjoying right now – lured him back in. “It changes faster than I can get bored with it, that’s for sure,” he explains. “Procurement is fascinating.”

Aspiring to greatness

Especially now, with constant conversations around genAI, 10X, and beyond. Procurement is only becoming more interesting, more enticing, drawing young professionals in to fill gaps in the talent pool. 10X was actually the theme of DPW Amsterdam this year, a notion that’s on everyone’s lips. And for Woodhouse, it’s absolutely something to aspire to.

“Aiming for 10X is sensible. You just have to consider your timescale. I’d caution against running before you can walk, but a culture of experimentation is important. Running small-scale pilots can help you hone in on where you really want to see value, or where value is likely to be generated. Starting with requirements is a fundamental thing at the moment, but you shouldn’t underestimate how long that will take. And it’s a continuous consideration, because requirements change. Just keep trying to refine your solution in order to take advantage of everything that’s out there right now.”

Fotograaf: MichielTon.com

Having the wrong mindset is one of the major barriers to adopting 10X thinking. It all starts with the company’s culture, and whether that’s one of growth or not. “I imagine most of the people here at DPW Amsterdam have already made that mental shift,” says Woodhouse. “Last year, people were still trying to understand how they, as big companies, could utilise startups. That’s changed now, and it’s amazing to see companies that were startups three years ago working with all these big enterprise customers. 

“They have scaled and grown in partnership with those customers. Mindset is so important, and having the wrong one will only create barriers and missed opportunities.”

Always improving, never slowing down

When it comes to the advantages that technology has brought to procurement in the last few years, the list is endless. Procurement has gone from an overlooked segment of any given organisation, to having a seat at the table and helping make major business decisions. 10X thinking – whether it goes by that name or not – has been spreading across the segment and fuelling businesses to aim higher.

“The layers of automation have really improved,” says Woodhouse. “A year or so back, there were a handful of use cases that you could truly automate, but now you can do it at a much larger scale. Another big change is around security concerns. There are more tried and tested case studies to draw upon now, and solutions are more readily available. You don’t necessarily have to be a pioneer, because someone else has already taken that first step.”

The question of data

Something else that holds businesses back, despite the innovation at their disposal, is an element that can be harder to change: poor quality data. When trying to implement advanced technology solutions, bad data can make or break their success.

“It’s always useful to focus on that and have a dedicated work stream,” Woodhouse advises. “You need someone who really understands data. I think there’s a tendency to try to boil the ocean before you even get going in your transformation, which isn’t necessarily a bad thing. Cleaning up your data before you start, and having a fresh foundation will help you make decisions on what to implement on top of that good data. 

“Doing all of that is obviously hugely beneficial, but it’s going to slow you down, in many cases. There are ways around that, like embedding the cleanup of data within the new processes. Data is important – we shouldn’t underestimate that – but there are different approaches to solving the issue of poor quality data, like buying it or using genAI to restructure your data into something more powerful. Either way, you need a strategy.”

Novel thinking 101

Some businesses fall into the trap of thinking that they can’t achieve specific things because their data isn’t in the right position, but novel thinking around data can allow them to still drive forward. “You’ve just got to focus on it. You can’t assume the data’s going to fix itself,” Woodhouse adds. 

Novel thinking is certainly something that can be seen at DPW events, and DPW Amsterdam 2024 was no exception. People congregated there to learn, to share stories, to inspire. For Woodhouse, the magic of the digital procurement sector right now is that everybody recognises that their journey has no end. While that may be daunting, it’s a positive thing and keeps procurement professionals striving for more.

“It’s a continuous improvement journey, and I think the best-performing organisations will recognise that, and invest in the business capability to continue that journey,” Woodhouse concludes. “That’s how you get proper value. I love hearing about how people frame problems differently, and how they approach the solutions.”

Making procurement slicker, more streamlined, is the name of the game right now – and this is precisely why Globality…

Making procurement slicker, more streamlined, is the name of the game right now – and this is precisely why Globality exists. It’s an organisation which leverages advanced, native-built AI to make sourcing more autonomous for Fortune 500 and Global 2000 companies, meaning it has a finger on a pulse of the technology tools procurement now has access to as the industry shifts and evolves.

Keith Hausmann is the Chief Customer Officer at Globality. He has been working in procurement since the early 90s, both in industry as a service provider, and now, at a technology company. He came to Globality from Accenture, where he ran the operations business. During his first real job after college, Hausmann was also part of a training program at a major Fortune 500 company, working closely with a COO. At some point they got into a conversation about salespeople seemingly having an advantage over procurement people due to their access to information, knowledge, and training. The COO suggested that they launch a company to help support procurement. For Hausmann, it was a serendipitous entry to the industry.

“I came to Globality because I saw the business was struggling with how to scale, automate, and deliver a differentiated user experience. Ultimately, I found it really compelling, and joined about five years ago.”

Achieving 10X thinking

Hausmann admits that the concept of what procurement is has only been defined relatively recently, and he’s been in the industry long enough to have seen the shift happen and suddenly accelerate over the last few years. Now, procurement professionals are in a position where they’re able to think big, and they have the tools to support that way of thinking. One of the most-discussed topics right now is 10X, whereby businesses are setting targets for themselves that are 10 times greater than what they can realistically achieve.

“There continues to be, and always has been, so many mind-numbing manual activities that go on in procurement spaces,” says Hausmann. “We’ve built small armies of teams to handle those things. I think 10X has prompted us to take a step back and ask if there’s now technology that can uplift the role of people in the function and take on some of those automatable tasks. Whether that’s writing RFPs, discovering suppliers, or analysing proposals – these are all things that can be automated in today’s technological world. With 10X thinking, you can imagine the many, many, many things that can be automated and just go after them. 

“There are barriers, of course. The biggest one is not being able to convey a compelling vision of what we want people to do in the new world. It’s not necessarily about making them go away – it’s about making their daily jobs, lives, and work more valuable. There are so many things around category thinking and strategy that don’t get done because people are spending so much time on tasks that could be automated. So I think the barrier is creating that vision and that plan to shift the operating models, roles, and the skill sets to something new and different.”

People power

Hausmann believes that if roles are reshaped and honed in response to automation, it’s less likely that there will be resistance to change because employees will know exactly what they’re doing, rather than being concerned about their future. “They have to know what they’re doing before they jump on board. It just requires a mindset change and good change management.”

Hausmann believes it’s down to the CPO to drive that change management by conveying the activities, impacts, roles, and operating model they envision. If they can paint a picture of how humans can impact things in a new way, alongside the new technology rather than against it, suddenly it’s an exciting prospect and people are keen to make a bigger impact. 

CFOs and CPOs joining forces

While CPOs now have a long-deserved seat at the table to help push change business-wide, CFOs’ roles are also expanding and having an increased impact on procurement. “I think they’ve always influenced what’s going on in procurement,” says Hausmann. “CFOs are the champions of many things, but certainly improving the bottom line of the company. They’re also champions of using technology to make the organisation more resilient, more scalable, and more efficient. There was a time when people thought that the CTO or CIO would be doing that, but more often than not, the CFO is the ultimate owner of improving business impacts. More and more, we’re seeing our customers leaning on the CFO to help them make decisions about investments that have a big impact through technology and AI. 

“These days, the relationship between the CFO and CPO is wildly different to what it once was, and CFOs are showing more interest in procurement as a function than ever, making a difference to the bottom line. It makes sense because, in theory, procurement controls one of the biggest cost line items in a company, besides raw headcount.”

Matching the pace of technology

The fact that we still need to focus on change management and relationships confirms that the way procurement is changing isn’t just about the technology. Far from it. However, technology is moving at an incredible pace and needs to be taken seriously. There are things that are possible now which couldn’t be done even one or two years ago.

“A few years ago, technology couldn’t write an RFX document for you,” Hausmann says. “Technology could not instantaneously bring to light the most relevant suppliers from within a customer’s supply base, or in the broader market. It couldn’t write a contract, or an SOW, or a work order. It can now. Those are things that are near and dear to my heart that were impossible 3-5 years ago.”

With these tools in mind, procurement professionals are able to think about the future in short-term stints. Five-year plans are no longer good enough when it comes to the way procurement is shifting – a year is now the maximum for putting plans in place. 

“I’ve always thought that procurement, from the perspective of technological advancement and investment perspective, should sit under a broader business umbrella,” says Hausmann. “I’d guess that probably 50% of companies in the world right now have some kind of program in place to save money or improve agility by investing in technology. And speed to market is more important than ever, so sourcing can’t be a bottleneck.”

Looking ahead, Hausmann expects to see many of the unique, differentiated technology providers becoming interoperable together, because big enterprises want services that operate and scale well in combination with others. 

“We’re seeing that a lot, and working with our customers on how we improve interoperability and integration,” he says. “Tools will become more seamless, more easy-to-use, more scalable. Another big thing is, and will continue to be, analytics. It’s a hot topic in procurement, and I think there are profound opportunities to be deployed. For Globality, we’ll continue to endlessly innovate on user experience, ease of use, and beyond.”

“I’m overwhelmed,” are Matthias Gutzmann’s first words when asked about DPW Amsterdam 2024. At the end of the bustling two-day…

“I’m overwhelmed,” are Matthias Gutzmann’s first words when asked about DPW Amsterdam 2024. At the end of the bustling two-day event, we sat down with Gutzmann, the company’s founder, and Herman Knevel, DPW’s CEO, for a debrief. Gutzmann also quite rightly pointed out that the final word on summarising those 48 hours is in the hands of the sponsors and attendees, but if the countless conversations we had with said sponsors and attendees are anything to go by, it was the best DPW event yet. And Gutzmann and Knevel agree.

“I really think that’s the case,” says Gutzmann. “We almost doubled the number of exhibiting startups, we had over 120 sponsors, more startup pitches than ever, and all the feedback I’ve heard so far has been amazing. There are always things you can do better, but I’m absolutely happy.”

Across the 9th and 10th of October, DPW Amsterdam welcomed over 1,300 attendees through its doors at Beurs van Berlage, Amsterdam. Those attendees arrived from 44 countries across 32 industries, and the event itself featured 72 sessions with 140 speakers across five stages. It’s abundantly clear that people are deeply passionate about DPW.

“On day one, it was already packed at 8:30 in the morning,” Knevel states. “The energy in the room was contagious, and the numbers speak for themselves. The startups, the innovators, the corporates, the mid-market – everybody who’s here has a genuine interest in what these guys are bringing to the procurement space.”

Reconnecting with the vision

Gutzmann describes that intangible energy as “bringing a little bit of joy back to procurement”. For many years, procurement was a very ill-defined concept – almost as ill-defined as the role of CPO. The shift has been a quick one, accelerated further by the COVID-19 pandemic, and events like DPW Amsterdam are part of the reason why. CPOs having somewhere to go, to meet, to learn about the procurement landscape is vital, hence that inspiring energy that permeates every DPW event.

“A lot of people are missing that vibe,” Gutzmann continues. “It’s why I founded DPW. I was inspired by Mark Perera [Chairman of DPW], who I worked with at Vizibl, and had great technology while also being so inspiring. I realised we needed to connect founders with CPOs. I think every CPO should talk to one startup founder per week, at least. It’s important that we listen to their vision.”

Striving for 10X

The core of those visions for the 2024 event revolves around the concept of 10X, the idea being that you set targets for your business that are 10 times greater than what you think you can realistically achieve. It keeps people ambitious, always striving for greatness, and it’s especially prevalent in startup culture – hence Gutzmann’s belief that CPOs should be connecting with them more.

“Deciding on 10X for this year’s theme was serendipity,” says Knevel. “The term came along and Matthias said, ‘this is it – this is what we need in procurement’. This is what the industry needs, and we’re exploring it, diving deeper.”

“Last year’s theme was ‘Make Tech Work’, which was all about getting the basics right in order to scale,” Gutzmann continues. “This year we said, ‘how can we take it further?’ We are entering the biggest wave of AI yet. That technology is giving us the opportunity and the possibility to scale outcomes. The world around us is changing so fast, so we need to be more agile, scalable, and faster in procurement. It’s a very ambitious, maybe lofty theme, but it’s a mindset more than anything else.”

“It’s the mindset that drives innovation and speed,” Knevel adds. “That’s really important in this age of procuretech and supply chain tech.”

When it comes to honing that 10X mindset, it’s all about having a purpose in mind. A lot of the procurement professionals we spoke to at DPW Amsterdam called this a ‘north star’, which is the phase Gutzmann uses too. “That’s where it starts. There’s so much procurement can do. There are so many problems in the world, and I believe procurement can be the solution to many of those. So I think it starts with the CPO and their leadership, their vision. You also have to embrace startup innovation, be more experimental in the way you work, instigate new ways of working, and be bold in your thinking. You also have to remember it’s okay to fail.”

Growing DPW

Something that’s particularly impressive about DPW Amsterdam 2024 is that it’s actually the second of the year. Back in June, DPW ventured into the North American market with an intimate summit held in New York City, which CPOstrategy was fortunate enough to be invited to. Planning one wildly popular event a year is one thing, but venturing into a whole new part of the world with an additional one is incredibly dedicated.

“I’m a bit more conservative when planning ahead, so there probably wouldn’t be a New York event without Herman encouraging me,” says Gutzmann. “I’m glad he said ‘let’s go for it’. It was a short-term plan, but it was ultimately very successful and the right decision.”

Knevel adds: “The feedback we got from sponsors and delegates was quite impressive. They were asking for more. And it’s not just Matthias and myself – we have a great team here. This is a massive production, but we made the jump and it’s paid off.”

Inspiration for 2025

When it comes to the lessons Gutzmann and Knevel have learned in response to this event, it’s more about narrowing down the influx of ideas DPW gives them. By the time we spoke with them at the end of the Amsterdam 2024 event, their heads were spinning with inspiration.

“I have so many ideas,” says Gutzmann. “Every year we reinvent the show, so we never rest. We’re always asking what we can do better. How can we improve? I think this year we maxed out the number of sponsor stands that are possible to have. We doubled the number of under-30 attendees. There’s the potential to go a little deeper on the talent side, connecting students with the corporates and building a proper program around that.”

There was also the Tech Safari this year. The idea was to make the expo hall easier to navigate, since it was more crowded than ever this year. Members of the DPW team acted as ‘super connectors’ to help attendees find the right solutions and help startups find new customers. The aim was to simply make it easier for everyone involved to find what they’re looking for in small groups,enabling them to find who they wanted, talk to them, and ask questions. It turned out to be an amazing interactive experience for people, making sure they felt thoroughly looked after and valued.

“Plus there’s an opportunity to cater more to the corporates coming in,” Gutzmann continues. “Perhaps we will build a custom program for them around the event. Some of them are already coming in with teams and doing annual leadership meetings outside of the venue, but I think there’s scope to show them solutions and do some workshops within the event. We can also do more with day zero, where we have site events. There’s much more we can do.”

Giving CPOs what they want

As for the broader future of the event, DPW’s heart lies in Amsterdam and will continue to do so. The organisation is building its team even further and putting strategies in place for future events, allowing it to move forward. “We follow the demand of what our customers want,” Knevel says. That’s what really drives DPW and how the event is themed and set up. The organisation listens to CPOs so it can give them exactly what they need, and what will help the industry level up further and further. 

“There are things we’re still developing,” says Gutzmann. “For example, the podcast studio [something introduced in its current form for 2024] is something Herman is very passionate about, so it was great to test it out here. There’s more we can do with that. We have so many ideas and it’s important to engage our amazing team on these ideas and see what they think along the way.”

“We’re ideating a lot,” Knevel adds. “And we’re asking our ecosystem what we should do more of.”

“Ultimately, we’re bringing in the voice of the customer to make sure we’re giving them what they want and need,” Gutzmann concludes. “That’s the whole purpose of DPW.”

It’s impossible not to be inspired by the energy at a DPW event. DPW Amsterdam 2024 was buzzing with that…

It’s impossible not to be inspired by the energy at a DPW event. DPW Amsterdam 2024 was buzzing with that same energy, its attendees soaking in information and inspiration from speakers, peers, other experts. We caught up with Rujul Zaparde, Co-Founder and CEO of Zip, at the event to dive into the procurement landscape and chat about the specific qualities DPW brings to the sector.

Zaparde is the Co-Founder and CEO of Zip. At the beginning of Zip’s journey, Zaparde and his fellow founder, Lu Cheng, based the company around their own experiences as end-users of the procurement process. They took their lived confusion around having multiple intakes for a contract, for the purchase request, and all the different complicated components of the process, and created a solution.

“And so, we started Zip and created the category of intake and procurement orchestration. We’re very grateful to have been named the leader in the category,” says Zaparde, in reference to having just been named a category leader in IDC’s first ever Marketscape for Spend Orchestration.

So, as is often the case, procurement is something Zaparde fell into. In this case, he got involved with procurement specifically to solve pain points. Prior to Zip, he was a Product Manager and Cheng was an Engineering Leader, both at Airbnb; they knew very little about procurement. “We were just end-users,” he explains. The upside of this was that they were able to come into the industry fresh, without the baggage and legacy issues that can come with being in a sector for a long time.

UX first

“At Zip, we really try to take a user experience first approach,” Zaparde continues. “What we found is the highest leverage change you can make in any procurement organisation is to make it easier for your employees to actually adopt and follow whatever the right process is. If you do that, then all of finance, procurement, accounting, and even IT find that they’re suddenly swimming with the current, not against it. And you can’t do any of that unless you solve for user experience.”

Taking away problems, the way Zip does, also takes away a barrier to ambition. The theme of DPW Amsterdam 2024 was 10X, a term on the lips of many across all sectors. Once immediate issues and pain points are addressed, 10X is something businesses can aspire to, with many talks and workshops during DPW Amsterdam focusing on how to approach this.

Getting the mindset right

For Zaparde, 10X thinking is a necessity for growth. “You have to aim for 10X to even end up at something X,” he explains. “That requires ambition. I also think that when you think in terms of 10X, and your mindset is angled towards incremental change, you’re much more open to thinking of solutions that are perhaps a little more risky. It changes your perspective.” 

A mindset shift needs to happen before anything else. This involves considering the needs of procurement and the wider company, having a north star in mind, and then breaking changes down to an incremental level. 

“Then you can start to think about the steps you need to take to get there,” Zaparde explains. “A big component of this is bringing along your peers and stakeholders across every function that’s tangential and critical to the core procurement workflow and path.”

Innovating for good

The work Zip does is indicative of the shift towards continuous improvement and advanced technology that procurement has been going through in recent years. There are things that are possible now that weren’t possible even a year ago, thanks to the vast innovations being made. One of the hot topics right now is generative AI, something that’s opening up a world of possibilities.

“It’s the elephant in the room right now,” says Zaparde. “With the capabilities that gen AI unlocks, you can automate a lot more. That allows you to cut down a lot of the transactional and operational work that procurement and sourcing organisations are doing. Procurement is tired of the status quo. It’s been an underserved function for over 20 years, and I’m glad that’s finally changing. I feel privileged for myself and Zip to be part of the conversation, and that we’re seeing all these amazing changes happening.”

Zaparde believes we’re already seeing the benefits of the major changes that have occurred over the last couple of years in procurement. In fact, he knows this, because Zip has helped its customers save around $4.5bn of spend over the last two years, which is an astonishing statistic.

“One customer of ours, Snowflake, achieved over $300m in savings alone,” Zaparde continues. “We’ve seen tangible benefits already. The way procurement is evolving isn’t a hypothetical thing – it’s really happening.”

Fragmentation on fragmentation

The key, again, is overcoming base level issues for the sake of evolution. This is precisely what Zip provides, after all. But sometimes, the issue is at a data level. Unclean data is something that technology leaders are talking about a great deal right now, with some feeling that it holds them back from implementing new technology. Zaparde believes that businesses should be questioning why their data isn’t clean from the start, rather than worrying about trying to cleanse existing data.

“You don’t just clean your data – the real question is why is your data not clean in the first place?” he muses. “You have to have a clean entry point for it. I don’t think I’ve ever spoken to a Fortune 500 CPO that said they had clean data. I think it’s because of the upstream processes in intake and orchestration. If all the cross-functional teams – the IT review, the legal review, the finance – are being manually shepherded by the procurement operations organisation, then how can you possibly end up with clean data?

“People are keying the same information into multiple systems, which might mean they answer in similar – but different – ways. So you end up with fragmentation on fragmentation. But if you have one single door to that data, you’ll be able to drive only clean data, because it’s a funnel. If you let everyone have different swim lanes that never intersect, you won’t have clean data.”

As 2025 approaches, Zip has multiple product capabilities and features coming up that Zaparde and his team are very excited about. This includes leveraging gen AI, something we’re seeing incredible utilisation of across the sector.

For Zaparde, attending events like DPW Amsterdam to talk about what Zip does and interact with peers and clients alike is a joyous part of his job. “DPW is really accelerating the rate of change in the procurement industry. That’s very much needed, and it’s energising to see so many incredible people from the procurement world in one place. I love spending time with these forward-thinking procurement leaders at this event.”

Catching up with Mitha-Ai’s Co-Founder, Arash Saberi, we dive into the vital importance of a solid data foundation.

Whether we’re talking about gen AI, 10X, or any other kind of advanced tech solution, data is at the core of the discussion. And when data isn’t clean or ready for the implementation of something being built on top of it, businesses can end up significantly held back. Mithra-Ai is an organisation that helps its customers to build trust in their data, which is a core issue for many. 

“That sets us apart,” says Arash Saberi, Co-Founder of Mithra-AI. “We help procurement leaders and category managers create, execute, and realise their strategies. This is backed by reliable, comprehensive data, both internal and external, tailored specifically for their categories.

“Maintaining high-quality data is crucial as it influences the accuracy and reliability of AI-driven insights and recommendations. That’s where Mitha-AI comes in. Our cleansing, enrichment, and auto-classification engines ensure that procurement stakeholders, including data scientists, begin with a reliable data foundation.”

Cleaning and classifying data

Mithra-Ai is an AI-native SaaS solution, which starts off by proposing a meaningful spend hierarchy for every category. What’s key is that this is paired with an automated cleansing and classification engine. This is so important because the only way to achieve truly clean data is to make sure it enters the system clean in the first place. 

“Clear visibility into categorised spending eliminates uncategorised expenses and wrong assumptions,” says Saberi. “When supplemented by relevant external data intelligence, category managers are empowered to negotiate with confidence, achieve greater savings, and monitor initiatives effectively.”

A world beyond cost savings

When launching Mithra-Ai in 2021, the company’s founders rightly foresaw that the role of procurement would evolve beyond focusing merely on cost savings, and become the central hub of every organisation. Because of that, they knew that accurate, reliable information was needed – hence the necessity for Mithra-Ai.

As procurement has shifted, the status quo is no longer good enough. It’s an exciting time for the sector, but also one of high demand in the race to adopt increasingly advanced technology. But it’s necessary for efficiency and growth.

“Tesla and Nvidia exemplify the power of embracing change over maintaining that status quo,” says Saberi. “Procurement is facing intense pressure to evolve with organisational needs. Those organisations can opt for incremental changes, which will likely slow them down, or pursue a 10X leap to maintain competitive advantage. The latter requires bold and decisive leadership from heads of procurement.”

The road to 10X thinking

The way to drive 10X thinking, Saberi believes, is through having a clear vision of your goals. Sometimes businesses, especially ones which are going through major change or those navigating outdated legacy systems, are at risk of losing sight of their goals. But having that vision is a foundational necessity, regardless of what stage you’re at.

“Set aspirations high, and question existing norms,” says Saberi. “Procurement leaders can draw inspiration from startups by fostering a culture of innovation through small-scale initiatives that can rapidly expand. Reevaluate the skills and team structure necessary for future success.”

Another important aspect to bear in mind when considering these things is the level of risk you’re willing to undertake when setting goals and aspirations. “That’s often overlooked,” Saberi continues. “Determining the acceptable level of risk is crucial. It significantly influences partner selection and the outcome of RFPs.”

Thinking big, starting small

While ambition is vital to 10X thinking and beyond, businesses must also make sure they don’t bite off more than they can chew. Launching into adopting huge volumes of advanced technology can lead to overwhelm and can make a business stall rather than evolving. A more careful approach is required.

“Think big, start small,” says Saberi. “Prioritise high-impact, low-effort initiatives over those requiring significant effort. Many transformation projects fail to deliver the expected benefits and incur high costs during the program.” This is another reason to decide on the appropriate risk level early on, in order to guide prioritisation decisions and transformation pace. 

It’s an incredibly exciting time for procurement, and that includes Mithra-Ai. In a very short time, it’s developed several foundational modules for its data-driven category management solution. This includes the Collaborative Initiative Tracker that was launched during DPW Amsterdam 2024 – just one of Mithra-Ai’s inspiring undertakings as we approach 2025.

“The tracker means that procurement teams can now involve multiple stakeholders in collaboratively tracking and enhancing the impact of key initiatives, such as cost-saving measures,” says Saberi. “Exciting times lie ahead.”

DPW Amsterdam is the perfect stage for launching a solution like this. It’s an event that inspires a culture of innovation, bringing procurement professionals together to teach, learn, and shout about their latest additions to the procurement landscape.

“DPW stands out as the premier procurement tech event of the year,” says Saberi. “Practitioners can explore and engage with procuretech suppliers, showcasing valuable use cases and personal stories across multiple stages. DPW is a catalyst for ideation, creating trust and confidence in the benefits of applying cutting-edge technologies to improve business outcomes. This year’s event felt even more international than previous years. I look forward to seeing it continue to grow.”

Saberi’s main takeaway from DPW Amsterdam this year is that a solid data foundation is essential – something he was well aware of as part of Mithra-Ai. “Without it, transformation projects and new technologies will struggle to succeed,” he concludes. “In the past two years, there has been increased focus on sustainability and risk intelligence, driven by numerous new solution providers. However, during the DPW Amsterdam 2024 conference, we observed new trends coming up and, again, more focus on data quality, which works to our advantage.”

When we’re talking about technology in procurement, the importance of partnership is a major component for success. No business is…

When we’re talking about technology in procurement, the importance of partnership is a major component for success. No business is an island, and joining forces with experts is, increasingly, the direction many move in for the sake of growth. 

At DPW Amsterdam 2024, we met many businesses who were looking around at the procurement sector in search of either what direction to move in next, or who they can help. The event is one that brings people together to learn, to teach, to discover the cutting edge of procurement, and be inspired by it. So when we sat down with the CEO of Fairmarkit, Kevin Frechette, it wasn’t surprising that he brought Nick Wright, who leads bp’s Procurement Digital Garage, into the conversation.

For Frechette, one of the best things about working in the advanced procurement technology sphere is joining forces with other businesses to help them keep improving, and vice versa. “Having the chance to work with people like Nick, who are pushing the envelope when it comes to autonomous sourcing, is amazing,” he explains. “We’re fired up to be at DPW, absorbing this atmosphere.”

While it’s something of a running joke in the procurement world that most professionals in the sector don’t deliberately choose it, Wright actually did. “I went to university and thought ‘wow, I fancy a career in procurement or vendor management’. I know a lot of people don’t have that story, but I’ve been doing something I’m passionate about from the beginning. I love making deals, whether I’m buying a car, a house, or something for BP.” The Procurement Digital Garage he leads exists to look at problems being faced across procurement, and figuring out possible solutions. 

For Frechette, the intention wasn’t to start a company in the procurement space, but his team quickly saw the opportunities within it. “We had this ‘aha’ moment,” he says. “It was a tough pivot. There was a lot of debate, a lot of late nights. I’m super glad we made it because we got to be in a space where people can be forgotten about, and we’re able to give them centre stage.”

The realistic approach to 10X

DPW itself exists to put procurement under the limelight. Each event is themed in a way that gets conversations flowing around the next big thing in procurement. For Amsterdam 2024, this theme was 10X – something Frechette believes isn’t achievable right off the bat.

“It’s something to strive towards,” he says. “It’s something where you work on getting a little better every single month, every quarter. You keep getting those small wins, and you build credibility. There’s no silver bullet. You just have to start the journey and learn as you go.”

For Wright, it’s about not getting caught up in the hype, but figuring out what’s realistic. “There’s a lot of hype out there, and the beauty of something like my team at the Procurement Digital Garage is to weed out that hype, because what’s right for us might not be right for someone else. Having a team that’s out there in the market, testing and figuring out what’s real, will put you in good stead.”

“There’s a leap of faith element that can be challenging to achieve, before you can really strive for 10X,” Frechette adds. “It’s like Amara’s Law: humans typically overestimate the value of technology in the short term, but underestimate it in the long term. So the hype is needed. We have to help people on that journey and sometimes, a leap of faith is needed. For the people that risk it, it’s exciting, and they’re then well positioned for the future.”

However, again, managing expectations is important. “People might be on the sidelines expecting a 10X solution,” says Wright. “But the reality is, you’re going to get 5% here, 10% – smaller pockets of improvement.”

The benefits of advanced technology are absolutely being seen at this stage, but being realistic about the future outcomes is important. “The benefits are there – not at the scale of 10X – but if you just make a start, you’ll achieve wins,” says Frechette. “You broadcast those wins across the organisation. That generates excitement, and then you can work on the next thing because you have ground swell.”

How ‘the future’ has changed

What’s interesting is that this 10X focus, this drive towards incremental wins, has reframed the way businesses plan for the road ahead. ‘The future’ used to mean having a three or five-year plan. Now, the future is only 12 months away.

“The thought process right now is ‘what can we do that’s super optimistic in just 12 months’?” says Frechette. “Then you can put in realistic time frames and set off on a sprint to get there. You have to be able to move fast. We have launches every two weeks now, and we have to be flexible with our roadmap along the way. But we always know where we’re going – we have a north star.”

“To me, that’s the only way to do it,” Wright adds. “I don’t have a crystal ball. Nobody knows what’s going to happen in two or three years. So what’s the point of creating a plan that’s going to get you to a certain point in those two or three years? You have to work on small iterations, make adjustments, change direction as necessary.”

It’s part of what makes Fairmarkit and BP an active partnership – the ability to be flexible and open up discussions at every point. It’s all about real-time feedback and trust-building, to the extent that both parties feel like they’re on the same team. 

The right people in the right places

Because ultimately, it’s the human element that makes transformation happen. Having the right people in place is one of the elements that’s key to making sure implementing advanced tech for the sake of business strategy works at all. “It’s about access to talent and making sure you’ve got a capable user group that can make the most of that technology,” says Wright. “You don’t need to be a data scientist, but you do need to have the right mindset to take advantage of the tools you’ve got.”

“I agree – you have to get the right people on the bus,” adds Frechette. “You all have to be committed to going on the journey together. Prioritise where you start and where you’re going to have the most value with the lowest risk, and have people on your side who can give suggestions and ideas.”

While the much-discussed talent shortage can create challenges there, DPW as an entity proves that not only does procurement keep becoming more appealing and exciting, but where there are gaps, there are digital tools. “I’ve noticed a lot of folks under 30 who are here at DPW Amsterdam, and they’re genuinely interested in procurement,” says Wright. “We’re at a tipping point that makes me really excited about the profession I’m in.”

Findings of a DPW survey point to AI adoption set to grow 187% in the next year, but just 20% of teams currently use AI at scale.

DPW Amsterdam, one of the procurement and supply chain sector’s leading events, has released the findings of its new 10X Procurement study. The study is a collaboration between DPW and Professor Remko van Hoek from the University of Arkansas. Its research draws insights from over 200 global procurement leaders, and claims to have found a “staggering disconnect” between the appetite for digital transformation among procurement teams and their ability to actually execute those transformations.

As businesses grapple with rapid changes in the market, the findings underscore the urgent need for procurement to evolve and drive meaningful change.

“Technology is advancing at the speed of light – but procurement leaders are struggling to drive change at the same rate,” said Matthias Gutzmann, Founder of DPW. “There’s a disconnect between the ambition to transform and the readiness to make it happen.” Gutzmann adds that the 10X Procurement study demonstrates that “while procurement is on the brink of something groundbreaking, teams are ill-equipped to harness that potential.” 

DPW: preparing procurement to capitalise on technological advancement

DPW aims to provide procurement teams with the insights, technology, and partnerships needed to “think and act ten times bigger than their current capacity.”

Key findings from the DPW 10X Procurement Study include:

1. Skills Gap Widens the Divide Between Vision and Execution

Procurement technology providers are sounding the alarm on a widening skills gap, citing a 30-35% shortfall in critical capabilities such as change management, openness to AI, and digital acumen, threatening the success of procurement’s digital transformation efforts.

2. Tech Adoption is Rising, But Underutilization Hampers Progress  

Despite AI making waves across industries, just 20% of respondents are adopting or scaling AI within their procurement functions, and procurement processes remain only 50% automated on average. This lack of adoption represents a significant missed opportunity to streamline operations and drive innovation, putting procurement at risk of falling behind on the digital transformation movement.

3. 2025 Set to Drive a Digital Revolution in Procurement

Looking ahead, respondents predict a dramatic 187% increase in AI adoption and scaling in 2025 across procurement processes and tech stacks. This points to a shift from operational technologies to more strategic, relationship-driven solutions.

4. Culture Lag Holding Back Digital Transformation Despite Clear Roadmaps

While many procurement teams boast clear roadmaps for digital transformation, DPW’s report finds that the culture required to embrace and sustain this change remains underdeveloped. Respondents rated their organisations’ readiness to drive the kind of sweeping transformations required to stay competitive as low.

5. New Playbook Requires Agility and Innovation Over Cost Savings

A large number of respondents were found to put cost savings before other objectives. In contrast, organisations that emphasise agility and resilience consistently see better results than their peers. This underscores the urgent need for procurement to redefine success metrics and shift away from rigid cost-saving goals toward more innovative, relationship-driven strategies that drive more resilience.

The findings of the study will be highlighted at the DPW Amsterdam 2024 conference currently underway in the Netherlands, featuring sessions led by industry experts designed to empower procurement teams and technology innovators in navigating the path toward 10X Procurement

We chatted to Gabe Perez from RiseNow about prioritising humans during technological transformation.

RiseNow, as a procurement and supply chain strategy and design firm, is firmly plugged into the needs of the sector’s functions as they evolve. Its growth has been organic thanks to customers demanding exactly what they want. They can’t simply implement tech with the goal of ‘go live’ anymore. They need expert help to define the real outcomes. 

RiseNow provides end-to-end guidance for customers. This ensures that when they implement new systems, they explore the whole picture from the beginning. It was a topic discussed in detail at DPW NYC in June, where we met up with Gabe Perez, Chief Strategy Officer.

“What we’re seeing in the market is that people are asking for guidance around operating models,” says Perez. “Our focus right now is trying to keep up with demand. There are a lot of different service providers out there.

“We’re showing RiseNow’s clients how to design, execute, and operate. So we’re really focused on helping customers end-to-end, whether they’re optimising what they currently have, or starting from a new platform.”

Humans first, then technology

As procurement continues to digitise, roadblocks that hinder technology’s effectiveness and promise of value become more apparent. One of these is implementing technology for technology’s sake. Or, simply using tech to digitise already-existing processes versus examining the why behind those processes. 

“As David Rogers from Columbia Business School said, the best technology is not the most important part of digital transformation,” says Perez. “People are at the core of it. Procurement has to start focusing more on outcomes and let that drive technology. People are running to technology for answers, but they don’t have the right operating model set up by the right people. Plus, there’s a huge talent shortage.”

Addressing the talent shortage

Outside of technology, the talent shortage across procurement was a repeated topic of conversation during DPW NYC. Just as it is during CPOstrategy’s general conversations with leaders. Procurement has been too vague a concept for too long, and overlooked in the grand scheme of many businesses for decades.

“One of the issues is making roles attractive,” Perez states. “I recommend proposing the problems you’re trying to solve and asking whoever you’re interviewing: ‘how would you solve this?’ Because with all the cool tech we now have at our fingertips, they’re going to come up fresh ideas. The talent exists – they’re just not being engaged and attracted. That’s where tech comes into play.”

And technology moulded by a people-centric focus was another major theme of the day at DPW NYC. “While AI in procurement is a huge topic right now, creativity is still going to come from humans – not artificial intelligence,” Perez points out. 

“You need human minds to see the value of things. This is to figure out how money can be driven out of the bottom line and into the top line. Humans are still needed for proving that procurement needs to take risks to be better. AI is a great tool, but it still needs us.”

You can read our full rundown of DPW NYC here.

We spoke to Clive R. Heal at LavenirAI about the innovative ways in which AI can be applied to procurement.

When you think about VR, the first things that come to mind are likely immersive gaming or scientific applications. But there’s so much more to VR as the relentless pace of technology marches on. With it, we start turning to other areas that could benefit from it; procurement, for example.

LavenirAI is an organisation so dedicated to leveraging AI for the betterment of procurement that it has created a negotiation training solution powered by this advanced technology. Communicating with AI-powered sales avatars using this solution allows users to learn masterful negotiation tactics. With procurement at the core of every organisation, and increasingly taking on a seat at the table, the ability to better negotiate, understand customer needs, and improve the ability to make decisions is more valuable than ever. That’s exactly what LavenirAI provides.

Clive R. Heal is the CEO of LavenirAI. We caught up with him at DPW NYC to discuss what the company offers, and dive into the real-world applications of VR in procurement.

VR as a procurement training tool

Images courtesy of DPW

“With what we do, you meet a digital mentor – Harini. She’s an avatar, a coach,” Heal explains. “She teaches you in an interactive way, and you can ask her questions. Then there’s negotiation practice where users can negotiate with sales avatars that negotiate right back. Virtual reality gives you a sense of presence, grounding the experience in realism.”

The VR version of LavenirAI’s solution – which will be released later this year – means users can train in that completely interactive way with avatars that are right in front of them. Heal led a session at DPW NYC whereby all attendees wore VR headsets. He guided them through the metaverse, meeting avatars along the way.

“The avatars are photorealistic. The quality of avatars has grown enormously over the last year,” says Heal. “So the avatar you’re talking to while wearing your headset is as close to real as it’s possible to get at this point.”

The potential of the metaverse

And these avatars, this metaverse, this AI-VR landscape – there’s so much that can be done with them beyond training. “In procurement, you might want to do a supplier audit before dealing with a new business,” explains Heal. “You’ll want to visit their plant. In the future, this won’t require a lengthy business trip to fly over there – you’ll be able to walk around a digital twin of the plant and meet the avatars of the people from manufacturing. You’ll be able to have actual conversations with them.

“There’s also the concept of collaborative workshops; innovation workshops. AI and VR unlock the ability for people anywhere in the world to be able to put on a headset and be able to have conversations, look at potential products, and talk about them. Right now, you can go into metaverse stores in Monaco with your avatar, and try on clothes to see how they look and fit, and order those clothes. It’s as simple as that.”

In Heal’s view, a whole new economy is coming: the virtual reality economy. “A year ago, McKinsey published a report saying that, within five years – just four years from now – 15% of all corporate revenue will come through the metaverse. Think about that. Not 15% more, but 15% of existing revenue that companies have.” 

This marks a major shift in the way we consume, the way we live, and the way we work – as well as the way we procure. As evidenced by the work DPW does, AI is on the forefront of all procurement professionals’ minds, and it’s being applied in many exciting ways. But there’s always scope for more.

“AI is the thing of the moment; it’s everywhere,” Heal continues. “But I don’t think people realise the opportunities and impact. For me, the most important thing is embracing the technology. Vitally, AI can get you one step ahead of everyone else if you’re not afraid to branch out with what you’re doing with it. Using AI to improve procurement creates opportunities in the race to be the first to new insights, unlocking a competitive advantage.”

N-SIDE VPs Amaury Jeandrain and Charlotte Tannier discuss their organisation’s partnership with Sanofi and look ahead to a brighter future.

Transparency. Good partnerships need it to survive.

For N-SIDE and Sanofi, it has been a key ingredient to what has made the partnership successful for the past eight years.

Since late 2015, N-SIDE has established and built on a strategic partnership with France-based pharmaceutical company Sanofi, aimed at optimising the firm’s clinical trial supply chain. The partnership helped digitalise Sanofi’s clinical supply chain while driving greater performance and waste reduction.

Harnessing efficiency

N-SIDE is a global leader in increasing the efficiency of life sciences and energy industries by providing software and services that optimise the use of natural resources, facilitating the transition to a more sustainable world. Founded in 2000, N-SIDE has built deep industry knowledge and technical expertise to help global pharmaceutical and energy companies anticipate, adapt, and optimise their decisions. In the life sciences industry, N-SIDE reduces waste in clinical trials, leading to more efficient, faster, and more sustainable clinical trials.

Amaury Jeandrain, Vice President Strategy of Life Sciences at N-SIDE, has witnessed first-hand the development of the partnership since he joined the company in January 2016. “Very quickly, the value of risk management and waste reduction was perceived internally and this partnership ended up growing to become one of our largest. Today, Sanofi is the company at the forefront of a lot of the innovation co-created with N-SIDE.”

Amaury Jeandrain, Vice President Strategy of Life Sciences at N-SIDE

Pharmaceutical companies of varying sizes use N-SIDE solutions to avoid supply chain bottlenecks in their clinical trials, decrease risks and waste, control costs, reduce time-to-market and speed up the launch of new trials. N-SIDE’s focus is on four key pillars to bring high levels of efficiency into Sanofi’s clinical supply chain: best-in-class supply chain, people, analytics and innovation.    

Charlotte Tannier, Vice President of Life Sciences Services at N-SIDE, adds that the key differentiator is the transparency between her organisation and Sanofi. “We trust each other and know that we can be fully open with them,” she explains. “We like to build new things together and co-develop innovative solutions.”

Charlotte Tannier, Vice President of Life Sciences Services at N-SIDE

Teaming with Sanofi

Having defined a clear route to success through the Sanofi partnership, Amaury is keen to point out that the relationship has acted as something of a catalyst for future business collaborations with other companies. “There are a lot of good practices that were initiated with Sanofi that now became a standard in our industry,” he discusses.

Looking ahead, the future of the partnership looks bright and is showing no signs of slowing down. Charlotte explains that the next step is all about “integration.” “For the moment, we have multiple teams and departments that are using the N-SIDE solutions, and many other software are used as well within the organisation. The focus in the short term will be to enable a unified IT landscape and environment,” she reveals. “The objective will be to be fully integrated and to increase the impact of the data they own. Because we believe, with Sanofi, that the way forward is through data. We are also planning to help Sanofi leverage more of the data that we’re generating together to increase its impact.”

As technology continues to evolve and organisations become even more digitally mature, partnerships built on transparency and trust will be in demand. N-SIDE and Sanofi already have that head start.

Click here to read more about how Sanofi is driving data-driven performance, resilience, agility and operational excellence within the clinical supply chain.

In this innovative partnership, the whole is greater than the sum of its parts as the two companies focus on taming tail-spend with an on-demand platform with embedded change management.

Businesses have been leaving money on the table for years. For most organisations, (indirect) tail spend flies under the radar because of the large number of lower-value transactions, a fragmented supply base, and a poor user experience. This results in process inefficiencies and lost savings opportunities that can be eight to 13 percent higher than with more competitive sourcing.

Simfoni and Kearney set out to solve this problem, joining forces on solutioning tail spend management. The partnership pairs Kearney’s rich heritage and expertise in procurement transformation and change management with Simfoni’s composable analytics and spend automation technology. The result is a comprehensive global delivery model that significantly improves tail spend management, which until now has been a major problem for large and smaller organisations alike.

“We started our journey over three years ago,” says Stefan Dent, co-founder of Simfoni. “It takes some time to form a bond. You get to know one another working together on client engagements and then you realise that the relationship is really working, so you double down on the commitment.”

Simfoni helps businesses “see spend differently” leveraging data analytics to gain a deep understanding of user needs across everyday ‘tail spend’. Founded in 2015, Simfoni is a leading provider of tail spend, spend analytics, and e-sourcing solutions for large and midsize businesses around the globe. Simfoni’s platform uses machine learning and AI to accelerate and automate tail spend management, saving time and money. Its solution quickly ingests and organises complex data to uncover opportunities to optimise tail to higher value spend. Simfoni emphasises rapid value delivery through on-demand spend automation solutions that are operational in weeks rather than months.

Remko de Bruijn, senior partner at Kearney

The Kearney–Simfoni partnership delivers a unique and powerful proposition, combining Simfoni’s digital tail spend solution with Kearney’s know-how and ability to launch a transformation and unlock the promised value, says Remko de Bruijn, a senior partner at Kearney. “There are many digital procurement solutions around, but frankly, many of them aren’t delivering the promised value, typically because of challenges with user adoption and change,” he says. “Kearney continuously assesses solutions in the market, with one of our other partners, ProcureTech, and together, we concluded that Simfoni is leading in tail spend. This is how we found each other.”

Kearney is a leading global strategy consulting firm founded in 1926, with more than 5,700 people working in more than 40 countries. The company works with more than three-quarters of the Fortune Global 500 as well as with the most influential governmental and nonprofit organisations. Kearney is a partner-owned firm with a distinctive, collegial culture that transcends organizational and geographic boundaries—and it shows. Regardless of location or rank, the firm’s consultants are down-to-earth and approachable, with a shared passion for doing innovative client work that realises tangible benefits for their clients, in both the short and long term.

“We see Simfoni as a powerful solution to realise savings in indirect tail spend. It’s about not only data and spend automation, but also the customer experience,” De Bruijn says. “This is crucial when dealing with everyday spend as most users are non-procurement professionals.”

Kearney aids businesses in implementing Simfoni’s solution quickly, mitigating risks associated with unmanaged spend and vendors. “The attractive thing about Simfoni is that the solution manages tail spend—optimising both spend and vendors—with the savings funding the digitisation. It’s a tail spend solution that delivers a comprehensive service,” De Bruijn says. “Simfoni will even pay the tail suppliers with Simfoni becoming the ‘One Vendor’ for the tail, which creates additional benefits in accounts payables and working capital.”

Simfoni and Kearney both operate globally, which is important since their customers often operate in multiple regions around the world. “It’s a very interesting and powerful proposition,” De Bruijn says.

Stefan Dent, co-founder of Simfoni

Simfoni designed its tail spend platform from the ground up. The company founders came from the procurement domain, having worked in a variety of procurement leadership roles and at other procurement technology providers. “Let’s face it, existing solutions never solved tail spend, which accounts for around 80 percent of your vendors and transactions and around 20 percent of spend value,” Dent says. “Until now, the only options were BPOs, where you effectively outsource your tail to be managed by humans in a lower-cost country, or you use self-service bidding platforms. These solutions deliver some value, but it’s like putting a plaster on a wound.  You never properly cure the problem.” 

Simfoni’s platform is unique in that it is first and foremost a software-as-a-service (SaaS) solution with integrated buying services and digital procurement content components that connect with a client’s existing systems, or Simfoni can operate autonomously. Dent says that’s not even the best part. “The user experience is the most important element because, as Remko pointed out, most tail spend users are not procurement professionals,” he says. “Our users are in R&D, IT, plant operations, or marketing. They want an intuitive, easy-to-use solution to source and buy goods and services to support the everyday needs of their business. This is where traditional eProcurement systems fail.”

Dent says Kearney is an ideal partner being a trusted advisor to many of the world’s largest organisations. Kearney’s expert knowledge of procurement and transformation are a vital part of the offering. “Kearney’s input and expertise is crucial as Kearney helps our clients scope their tail spend program and update their procurement operating model while Simfoni frees up resources, allowing the client to focus on higher-value activities,” he explains. “At the end of the day, technology alone doesn’t solve tail spend. It’s about change. Kearney helps our clients make that digital shift. That’s why our partnership is so powerful because together we provide a comprehensive change and a digital solution as a package. The opportunity for our clients to finally control and optimise tail-spend is huge.”

Could generative AI be the answer to procurement’s problems: fewer workers, more work, and a rising bar for digital literacy.

It’s news to no one that the nature of the procurement industry has changed.

Spurred by the COVID-19 pandemic, an industry-wide surge in digital transformation, and the rising immediacy of the climate crisis, procurement has never been more important, or more complicated. However, as the industry’s demands grow and evolve, many procurement teams find themselves in need of skilled individuals that simply aren’t there.

A recent study conducted by Gartner found that just one in six procurement teams believe they have “adequate talent” to meet their future needs. That means just 15% of CPOs were confident in their future talent pools and ability to recruit skilled individuals, even if they believed their current staffing was sufficient to meet demand today.

Concerns over “having sufficient talent to meet transformative goals based around technology, as well as the ability to serve as a strategic advisor to the business,” were the primary cause of skill shortage stress, according to Fareen Mehrzai, a Senior Director Analyst in Gartner’s Supply Chain Practice. Essentially, the changing nature of procurement means not only that today’s procurement teams are unprepared for the discipline’s continued transformation from back office buyer to “orchestrators of value” in the executive team, but face an increasingly sparse hiring market as the requirements for a new procurement recruit become increasingly complex to satisfy.

Generative AI: Making digital accessible

Generative AI exploded into the public consciousness in 2023 with the launch of image generation tools like Midjourney and DALL.E, as well as chat-bots like Chat-GPT, powered by large language models. Investment has been immediate and almost unthinkably massive. In late 2023, it was estimated that generative AI startups were attracting 40% of all new investment in SIlicon Valley, and Bloomberg Intelligence estimates that the market for generative AI, valued at $40 billion in 2022, will be worth as much as $1.3 trillion in the next decade.

In the procurement and supply chain sectors, specifically, CPOs are reportedly dedicating 5.8% of their function’s budget, on average, to generative AI, according to a Gartner report from January.

Now, whether or not generative AI has the society-spanning, epoch-disrupting economic and social impact people are predicting (personally, I remain unconvinced, and anyone who disagrees can either fight me in the metaverse or try to run me over with a self-driving car) actually manifests, there’s no denying generative AI’s potential as a useful tool if adopted correctly.

Especially in an underskilled, rapidly digitalising procurement sector.

How can generative AI help procurement?

While Generative AI will never write a (good) movie script or create a piece of art that anyone with any taste would find genuinely moving, there are some things it does very well. Namely, it is very good at not only taking in and processing huge (and I mean huuuuge) amounts of chaotic, poorly structured information and answering questions about it, but most importantly, it can understand prompts and give results in simple, conversational language. There are still limitations and kinks to work out, however.

Generative AI still deals with hallucinations. However, the ability to input huge amounts of data and analyse that data in a conversational format could alleviate a lot of the technological literacy related teething problems that appear to be at the heart of the procurement skills shortage.

An EY report notes that, in the Supply Chain and Procurement space, generative AI has massive potential to: “Classify and categorise information based on visual, numerical or textual data; quickly analyse and modify strategies, plans and resource allocations based on real-time data; automatically generate content in various forms that enables faster response times; summarise large volumes of data, extracting key insights and trends; and assist in retrieving relevant information quickly and providing instant responses by voice or text.”

The future of Gen AI

Generative AI can be a source of simplicity for procurement teams at a time when new technologies often add complexity and necessitate upskilling or new hires. EY notes that a biotech company using a generative AI’s chat function has had positive results when using it as a way to inform its demand forecasting. “For example, the company can run what-if scenarios on getting specific chemicals for its products and what might happen if certain global shocks occur that disrupt daily operations. Today’s GenAI tools can even suggest several courses of action if things go awry,” write authors Glenn Steinberg and Matthew Burton.

Adopted correctly, generative AI could not only empower procurement teams to handle the pain points of today, but also tackling the looming threat of the skills shortage in an industry facing a relentless demand for skills that may not be in adequate supply for years to come.

By Harry Menear

Luke Abbott, Co-Founder and CEO at Equipoise, discusses the art of accelerating sustainable procurement with artificial intelligence.

In today’s rapidly evolving business landscape, sustainability is not just a buzzword; it’s a necessity. As organisations strive to reduce their environmental footprint and drive social improvements in their supply chains, sustainable procurement emerges as a pivotal strategy. With the advent of artificial intelligence (AI), the potential to revolutionise sustainable procurement practices has never been more promising.

Understanding sustainable procurement

Sustainable procurement is the integration of environmental, social, and economic considerations into procurement decisions, to reduce adverse impacts upon society, the economy, and the environment1. As businesses grapple with the repercussions of climate change, dwindling resources, and increasing stakeholder demands, sustainable procurement offers a pathway to not only mitigate risks but also seize new opportunities.

The AI advantage in sustainable procurement

AI, with its ability to process vast amounts of data, automate tasks, and identify intricate patterns, is poised to be a game-changer for sustainable procurement. By leveraging AI, organisations can:

Enhance sustainability data collection

Scope 3 is the hottest topic in sustainable procurement and many organisations are grappling with the question of how to measure the greenhouse gas emissions of their suppliers. Understanding this, especially beyond the first tier, requires extensive data collection. If you were to focus on your top 100 suppliers and ask your tier n-1 suppliers to do the same, when you get to tier 3 (which is probably nowhere near the end of the supply chain) you need to engage a staggering one million companies. At this point, manual data collection and analysis is out of the question for time-strapped organisations. AI tools, such as Avarni2, streamline this process, ensuring comprehensive and accurate data acquisition.

Predictive analytics for sustainability risk management

Managing sustainability risks in today’s intricate global supply chains presents challenges such as monitoring vast supplier networks, handling overwhelming sustainability data and rapidly adapting to sanctions, media reports and regulations, all while maintaining a pristine reputation. AI offers a solution by providing real-time monitoring of supply chains, predictive analysis of potential disruptions, seamless data integration for a comprehensive view, automated reporting for enhanced transparency, and scenario analysis for strategic planning. AI tools, like Versed AI3, continuously monitor vast amounts of supply chain data, ensuring real-time tracking of sustainability factors. This real-time monitoring allows companies to identify potential risks before they escalate, enabling procurement teams to proactively address disruptions and uphold sustainability standards.

Automation

According to Deloitte’s 2023 Global Chief Procurement Officer Survey4, over 70% of CPOs have seen an increase in procurement-related risks, and only a quarter feel equipped to predict supply disruptions timely. Furthermore, internal challenges like talent loss and organisational complexities add to the burden. By automating routine tasks, AI not only alleviates these pressures but also empowers procurement professionals to focus on high-value initiatives, such as supplier education on sustainability priorities. Generative AI tools like ChatGPT can expedite market research, strategy formulation, and contracting processes, allowing teams to be more agile and responsive in this volatile environment.

AI in action

Unilever’s Sustainable Living Plan5 has been at the forefront of leveraging AI to drive innovation in sustainable procurement. In 2023, Unilever highlighted how they have been using AI and digital technologies, from the launch of their first digital tool to the recent formulation of the world’s first green carbon detergent6

“We’re using AI to help identify alternative ingredients that can strengthen the resilience of our supply chain, making our formulations more sustainable and cost-efficient, and simplifying them by reducing the number of ingredients without impacting a product’s quality or effectiveness.” –  Alberto Prado, Unilever R&D’s Head of Digital & Partnerships. 

Through a data-driven approach, Unilever has been making smarter, faster, and sharper decisions to optimise its portfolio of brands and products. Their commitment to sustainability is further emphasised by their ambitious goals, which include climate action to achieve net zero, reducing plastic usage, regenerating agriculture, and raising living standards within their value chain7. 

Limitations and due diligence

While AI offers transformative potential, it’s crucial to recognise its limitations. The accuracy of AI predictions and recommendations hinges on the quality of data fed into the system. In the realm of sustainable procurement, this means ensuring that the data sources are reliable and comprehensive. Regular audits, cross-referencing with trusted databases, and continuous training of AI models are essential to maintain the integrity of AI-driven insights. 

The 2023 Gartner Hype Cycle for artificial intelligence8 underscores the significance of addressing the limitations and risks of fallible AI systems. It emphasises the need for AI strategies to consider which innovations offer the most credible cases for investment, ensuring that AI’s transformative benefits are realised while mitigating potential pitfalls.

The future of AI in sustainable procurement

As we gaze into the future, the synergy between AI and sustainable procurement is poised to grow stronger. With advancements in machine learning algorithms, natural language processing, and predictive analytics, AI’s potential to drive sustainability will only amplify. The Gartner report highlights the rise of generative AI, which is reshaping business processes and redefining the value of human resources. Such innovations, including generative AI and decision intelligence, are expected to offer significant competitive advantages and address challenges associated with integrating AI models into business processes.

However, a conservative outlook suggests that while AI will be a significant enabler, the onus remains on organisations to embed sustainability into their ethos and operations.

In conclusion, as the business landscape becomes increasingly complex, the fusion of AI and sustainable procurement offers a beacon of hope. By harnessing the power of AI, organisations can not only navigate the challenges of today but also pave the way for a sustainable and prosperous future.

Luke Abbott, Co-Founder & CEO @ Equipoise

From cost-containment to carbon emissions, here are the 10 things that should be top of mind for every chief procurement officer in 2024.

In the year to come, procurement will continue to transition from a back office function to a boardroom value-driver. Chief Procurement Officers and other leaders will need to increasingly reevaluate their relationships to the rest of the business as procurement not only becomes an increasingly vital source of business wins, but also a central piece of the puzzle when it comes to emissions reduction and resilience throughout the supply chain.

From generative AI to the skills shortage, there’s a lot that CPOs could be focusing on in the year ahead. We’re kicking off the new year with our list of the top ten things CPOs should be prioritising in 2024.

1. Drive significant value for the business

That’s why the first priority of all CPOs in 2024 is to apply technology, new operational organisation, hiring practices, sustainable strategy, cost containment, and every other trick and technique in order to create value for the business. Increasingly, CPOs are transitioning from logistical and cost-cutting functionaries to “orchestrators of value” and that will only become more apparent as the year (and decade) wears on.

2. Drive digital transformation

As mentioned before, procurement is a process that’s reinventing itself before our very eyes, embracing new digital technologies and ways of working that increase efficiency and drive value for the business. CPOs are increasingly important integrators of technology into the business, and should all be prioritising ways to implement technology over the coming year. However, it’s important to beware that technology for technology’s sake is even more dangerous than sticking it out with a legacy system… 

3. Reduce environmental impact

Knowing may be half the battle, but once CPOs have an understanding of the environmental impact their S2P process has, they must prioritise finding ways to mitigate that impact. From a stricter regulatory landscape to a more perceptive and angry public, a meaningful environmental sustainability strategy is no longer “nice to have” or even necessary: it’s long overdue.

4. Understand your Scope 3 emissions

More than 60% of procurement leaders in the US, UK, and Europe surveyed in a recent report say that their Scope 3 emissions reporting process is more of a “take your best-guess” approach than a process of gathering concrete, reliable information.

The S2P process is one of, if not the, biggest source of greenhouse gas emissions for every company on earth, and understanding the consequences of working with one supplier or another (and then accurately reporting that information) is a huge part of the journey to net zero. CPOs who fail to prioritise transparency in their S2P process will find themselves actively hindering their organisations’ environmental ambitions at a time when procurement has the potential to be the biggest driver of positive environmental impact in many organisations.

5. Cultivate your supplier ecosystem 

As much as technology is playing a bigger and bigger role in the procurement process, no CPO should discount the importance of building genuine, strategic relationships within their supplier ecosystem. Obviously, some industries are doing better than others, but in many areas (like the fashion industry, where “Those in charge of contracting suppliers for fashion brands say they are investing in longer-term strategic partnerships,” but their suppliers “tell a different story”) there’s still need for improvement. 

6. Don’t buy into the hype (too soon)

In 2021, it was self-driving cars. In 2022 it was the metaverse. And last year saw the world get absolutely bent out of shape over the promise of generative artificial intelligence. However, much like NFTs and blockchain (another thing everyone was spending a lot of money trying to figure out how to make money from for a while), the promised trillions of dollars of economic impact from these technologies has yet to translate into meaningful business applications. Even the hyperloop was abandoned this year.

Procurement is an area with a huge amount of potential for digital transformation, and adopting the right technologies for the right reasons is what’s going to separate industry-defining success stories from all those dudes who went blind at the Bored Ape Yacht Club convention.

7. Mitigate risk to the supply chain

In the wake of the COVID-19 pandemic, the global source to pay (S2P) process has transitioned from a “just in time” approach to a “just in case” one. As climate change disrupts agriculture and manufacturing across the global south, and events like the Yemeni blockade of the Suez canal in order to hinder Israel’s occupation of Palestine hinder the movement of goods between regions, CPOs should prioritise diverse buying strategies that mitigate risk to their S2P processes.

8. Be a source of cost-containment

Inflation was a defining characteristic of the economy in 2023, as corporate price gouging (amid other factors) caused cost-of-living to spike. In a world of rising prices, and supply chain unpredictability, controlling costs will fall increasingly to CPOs in 2024. Cost reduction targets have been hit less consistently across the industry in the last few years, thanks largely to inflation and the pandemic’s disruption of global supply chains. Going into the year ahead, CPOs who can find a way to successfully meet their cost containment targets will find themselves with a serious leg up over their competition.

9. Don’t lose existing talent

The world is in the midst of a growing resurgence in the power of labour, as class consciousness and anti-capitalist sentiment rise. The old propaganda about loyalty to companies that would replace that employee in a heartbeat doesn’t work anymore, and workers are increasingly understanding (and demanding) their true worth, and it sent shockwaves through the service, autoworker, and entertainment industries in the US last year alone.

With the tech sector still leading the world in brutal mass Q4 firing and rehiring strategies, and labour movements within massive logistics firms like Amazon growing stronger by the day, 2024 promises to be defined by more strikes and other examples of direct action, not less. CPOs in the middle of a talent shortage should prioritise giving their employees reasons to stay beyond gym memberships and company pizza parties.

10. Hire top talent

The nature of procurement is changing. As the discipline becomes increasingly digitalised, not to mention plays a more strategic role within the modern enterprise as a whole, the skills that make for a good procurement professional aren’t the same skills that were on job listings ten, or even five, years ago.

In 2024, CPOs should constantly reevaluate the skills necessary not only to do the job now, but to tackle the procurement challenges of the next few years when hiring.

Data is the key to unlocking new opportunities and managing risk, but capitalising on the opportunities of data in procurement is not without challenges.

Over the past few years, the procurement sector has been thrust into the limelight, as CPOs are increasingly being identified as drivers of value creation, cost containment, and risk management.

In addition to business and process innovations, a lot of the changes in the role of procurement are due to a wave of digital transformation sweeping the industry. If digital transformation is the engine driving this elevation of the procurement function, then data is the fuel powering it.

Effectively capturing, organising, and utilising data to generate meaningful insights can produce significant benefits for the procurement process. However, costly investment into data analytics, flawed adoption strategies, and oceans of bad data can turn all the potential for wins into a whole new source of risk for the business. This week, we’ve gathered our top 3 challenges CPOs face when incorporating big data into their operations.

1. Bad data

No, I don’t mean Lore from Star Trek: TNG. Bad Data is a fundamental and pervasive risk to procurement professionals looking to empower their analytics. It’s also a far more widespread problem than many executives would like to believe. Last year, a report by SpendHQ found that 75% of procurement professionals doubted the accuracy of their procurement data, leading to almost 80% of executives outside the procurement function lacking confidence when it comes to making decisions based on that data.

In order for it to make any meaningful contribution to reducing costs, mitigating risk, promoting sustainability and driving meaningful change within the business as a whole, the data used by procurement has to be accurate. Pierre Laprée, chief product officer of SpendHQ, noted in the report that “procurement teams must do more to build and maintain influence within their organisations, including removing the dependency on spreadsheets to become more efficient.”

2. Choosing the right technology

Collecting, managing, and drawing insights from your procurement data is a matter of using the right digital tools. However, choosing the right digital tools—especially with CPOs often facing pressure from stakeholders to transform their operations digitally—can be a complicated prospect with potentially severe negative consequences ranging from sub-par outcomes and wasted budgets to catastrophic data breaches.

A report by Productiv found recently that, while “procurement and IT are being inundated with software access, vendor intake and renewal requests,” the number of applications and subscription services being managed by the average business has risen by more than 30% in the past two years. Combined with growing workloads, skill shortages, and an unclear vision for handling these growing technology stacks, Productiv’s report notes that “this patchwork of tools across various steps of the vendor management lifecycle has created technology, team and data silos. Instead of increasing efficiency, these tech stacks start adding up to a lot of manual work to bring everything together.”

3. Creating spend data visibility

Dark purchasing refers to the phenomenon of procurement expenses incurred outside a business’ defined procurement process. It’s uncontrolled spending that procurement can’t see, but that still gets added to their numbers at the end of the quarter.

Big data and procurement is often thought of in terms of its ability to help understand the world outside the business’ walls—logistics, pricing, supplier behaviour throughout the market in response to market changes—but effectively deploying data analytics to understand why dark purchasing is happening, when, and by whom is a vital step in figuring out how to reduce its impact on the company.

Unfortunately, this presents a serious challenge, as many procurement departments lack a cohesive data organisational strategy; data is often scattered throughout multiple silos in the organisation, hidden from procurement in much the same way that unapproved purchasing hides until quarterly expense reports. Overcoming this challenge and creating a holistic, accurate view of company spend—both within the procurement function and outside it—is one of the greatest opportunities and challenges presented by the infusion of big data into procurement.

By Harry Menear

The assistant will use natural language processes and AI to perform “thousands of procurement tasks”.

The latest in a small flurry of generative AI-powered virtual procurement assistants is hitting the market. Earlier this month, Relish, a B2B app developer based in Ohio, announced the release of its new procurement assistant—a virtual assistant product powered by generative artificial intelligence and designed to intuitively interact with users while performing “thousands of procurement tasks”.

“What we’re offering is a solution that truly frees users from the menial to engage in the meaningful,” said Ryan Walicki, Relish CEO, in a statement to the press. He added that the Relish Procurement Assistant would revolutionise the way businesses handle their procurement systems and processes, claiming: “By leveraging large language models, this single interface spans all procurement systems and platforms and can be custom fit to any enterprise solution ensuring workflows are never interrupted.”

The rise of generative AI

Relish isn’t the first company to utilise a combination of generative AI and large language models, like ChatGPT, to create a more naturalistic interface between users and complex systems for managing data. In November, Californian tech firm Ivalua released an Intelligent Virtual Assistant powered by generative AI as part of its platform, making similar claims that the technology would eliminate busy work, freeing up employees for more strategic activities.

Relish works in a similar way, plugging into an existing procurement management platform, and using artificial intelligence and natural language processing to “intuitively interact” with users in a conversational way, giving them detailed insight into their workflows.

According to Relish, the technology can perform numerous tasks, including supplier management, sourcing, contract management, supply chain, and purchasing.

Where Relish differs from other offerings on the market is in its alleged ability to “[adapt] to any platform and workflow preference.”

According to Jeremy Reeves, Relish Senior Vice President of Product: “The adaptability helps users get the most out of their procurement enterprise software, maximising their return on the investment… It brings a new dimension to how users will go from being taskmasters to being conductors of their enterprise systems.”

By Harry Menear

AI and Machine Learning-powered analytics could help security teams flag and prevent fraud in their procurement functions.

Procurement fraud is costly and hard to prevent, but with the right tools, organisations could see red flags earlier and respond in time rather than too late.

According to the Association of Certified Fraud Examiners (CFE), organisations lose 5% of their annual revenue to fraud, with the median loss per case totalling $117,000, and the average being $1.7 million.

Supply chains and procurement functions are especially vulnerable to fraud—often comprising long and winding networks, intricate webs of relationships, vast inventory assets, and multiple transactions along the S2P journey. The procurement and supply chain functions of retailers and manufacturers are especially vulnerable.

Frequently, procurement fraud is the result of a malicious individual within the organisation, although vendors and partners can also be responsible. Bid rigging, intellectual property infringement, inventory theft, and product counterfeiting are all examples of occupational fraud within the procurement process.

To address these challenges, companies must implement proactive measures. The CFE report noted that nearly half of fraud cases occurred due to a lack of internal controls, or an overriding of insufficient existing controls. It also found that anti-fraud controls were effective, resulting in lower losses and quicker fraud detection.

Fraud is prone to thrive in the procurement process, and can have devastating consequences, but the fight against the threat isn’t hopeless, and new technologies are proving especially effective in stamping out the issue.

In addition to traditional anti-fraud measures like strengthening internal controls, performing due diligence, and conducting regular quality checks, organisations can fight fraud in their procurement and supply chain functions by harnessing the power of AI and Big Data.

Fighting fraud with Big Data

AI analytics of Big Data sets can do more than improve efficiencies and predict trends in the movements of goods; these types of analytics excel at pattern recognition and, once correctly trained, can identify subtle changes in activity within the procurement function and supply chain that could point to fraud.

According to Isabelle Adam, an analyst at the Government Transparency Institute in Budapest, and Mihály Fazekas, founder of the Institute and assistant professor in the School of Public Policy at Central European University, “With the increasing use of electronic and online administrative tools — such as e-procurement platforms — making administrative records readily and extensively available in structured databases, public procurement has become a data-rich area.”

This wealth of data, if improperly handled, can become a place for fraud to hide, but if big data analytics are applied, they argue, it “can serve as a tool for auditors to identify and prevent fraud and corruption.”

By Harry Menear

Blockchain promises added transparency and security for the procurement process, but are the benefits worth the price of admission?

Blockchain—the decentralised ledger technology that powers cryptocurrencies and NFTs—could be an immensely disruptive force in the procurement and supply chain management sectors. We’re going to take a look at how blockchain might impact procurement, and whether it represents a meaningful innovation or if the costs outweigh the benefits.

Blockchain: the hype

Using a combination of different technologies, including distributed digital ledgers, encryption, asset tokenization, and immutable record management, blockchain creates an unbroken and tamper-proof (in theory) chain of information.

For example, storing the entire service history of a vehicle, the transaction history of a house, or the provenance of a piece of art on a blockchain theoretically renders it trustworthy and incorruptible. A potential buyer could review the timestamped information included on the blockchain and be confident in its accuracy. In principle, blockchain could reduce or remove the need for intermediaries in highly regulated and complex transactions—like real estate, for example.

“Have you bought a house lately? Imagine if you could have transacted with the seller directly, even though you had never met, confident that the deal would be recorded in a way that neither of you could change or rescind later,” write Gartner analysts David Furlonger and Christophe Uzureau, suggesting that “You wouldn’t have to reconcile rafts of personal information with a real-estate agent, mortgage broker, insurance agent, property inspector and title company” if you were making a transaction using the blockchain.

Furlonger and Uzureau suggest that record keeping and verification is just the beginning and, once developed and combined with other technologies (characterised by lots of hyper and limited real world applications) like artificial intelligence (AI), the Internet of Things, and the Metaverse, the real potential of the technology will be unleashed, creating “whole new social and economic constructs in the peer-to-peer age of Web3.”

Blockchain: the reality

In actuality, Blockchain outside of applications for cryptocurrency isn’t actually… very interesting? It’s certainly not new. Blockchain technology not used to underpin a cryptocurrency is just a distributed append-only data structure. Often there are some users that are allowed to make additions to the structure. In the real estate example used Furlonger and Uzureau, that might include the homeowner, a surveyor conducting an appraisal of the property, the utility company providing electricity and water to the house, and professionals hired to perform maintenance on the property. A private blockchain could collect and verify the history of a property like rings on a tree, and provide an authoritative account that is, in theory, free from tampering. The thing is, that sort of verification is called a consensus protocol, and they’ve been around since before the 1960s—as have append-only data structures.

The reality is that the new, shiny applications for blockchain aren’t actually very useful. Supposedly, Blockchain technology offers up a way to verify information (or conduct a transaction) without relying on an intermediary, or blindly trusting a third party. “Trust-less” is the phrase that gets thrown around a lot. However, the result is often that you’re just trusting the technology underpinning the blockchain over a human or a public institution.

Building trust

As Bruce Schneier pointed out in an article for WIRED, “When that trust turns out to be misplaced, there is no recourse. If your bitcoin exchange gets hacked, you lose all of your money. Your bitcoin wallet gets hacked, you lose all of your money. If you forget your login credentials, you lose all of your money. If there’s a bug in the code of your smart contract, you lose all of your money. And if someone successfully hacks the blockchain security, you lose all of your money.”

One glaring example was the 2019 case of cryptocurrency exchange CEO Gerald Cotten, who died while being the only person with the password necessary to access US$145 million worth of other people’s Bitcoin. Far from being trustless, it would seem the people who lost access to their money were placing their trust in a single individual who died, leaving them no physical or legal recourse to get their money back.

There’s also the very valid criticism of blockchain-based technology that it’s an environmental disaster. NFTs caught most of the heat for this over the past few years, but all blockchain-based technology needs to be stored somewhere in a constantly active server. As noted by the NASDAQ in a report from earlier this year, “The energy consumption of blockchain technology results in significant greenhouse gas emissions, which contribute to climate change.”

So, blockchain is bad?

Not necessarily. I, personally, will stake what reputation I have on the fact NFTs and cryptocurrencies are misguided and valueless gimmicks at best and insidious, cynical techno-cults (that burn fossil fuels more enthusiastically than the UV lights at the Bored Ape convention burned out crypto bros’ retinas) at worst.

However, remember the boring version of blockchain technology? The append-only data sets we talked about before may not be new or especially sexy, but they’re an element of blockchain technology that could be incredibly useful for the procurement sector.

Blockchains in procurement

The procurement sector has traditionally struggled with opacity. Sourcing goods—especially from overseas markets—through networks of distributors and middlemen can muddy the waters and conceal vital steps in the source-to-pay process. The origin of goods, labour practices, contact with modern slavery or deforestation, can all be concealed in a murky supply chain.

Tracing the progress of an item from its raw materials through to a finished product is “often a challenge for today’s supply chains due to outdated paper processes and disjointed data systems that slow down communication. The lack of data compatibility exposes supply chains to problems like visibility gaps, inaccurate supply and demand predictions, manual errors, counterfeiting, and compliance violations,” notes an AWS report. However, with blockchain, procurement and supply chain management organisations can “document production updates to a single shared ledger, which provides complete data visibility and a single source of truth. Because transactions are always time-stamped and up to date, companies can query a product’s status and location at any point in time. This helps to combat issues like counterfeit goods, compliance violations, delays, and waste.”

Global network

If the documentation of, say, a shipment of EV batteries, can trace a direct line from a lithium mine in Australia to a factory in China through a global network of suppliers, all the way to their arrival at a factory in Ohio, the procurement department sourcing those batteries can scrutinise every piece of the value chain much more effectively for quality control, potential counterfeiting, and ESG compliance. 

It’s not as flashy as Dogecoin, but it’s actually useful, especially as corporations make efforts to divest major polluters or other parties with poor ESG practices from their supply chains in an effort to reduce Scope 3 emissions and stop propping up reprehensible practices like modern slavery and deforestation.

By Harry Menear

Keith Hartley, CEO of LevaData, discusses why procurement’s golden age is now amid the rise of transformative tech solutions.

“This is the golden age to be in procurement.”

Keith Hartley, CEO of LevaData, doesn’t hold back.

Similar to his passion for surfing, he is constantly on the lookout for the next challenge to tackle. The company he leads is an integrated, AI-powered supply management software platform that is transforming direct material sourcing by helping companies reduce costs, mitigate risk, and accelerate new product development.

Given the trajectory of the procurement function’s journey over the past 10 years, few could doubt the change the space has seen. Indeed, procurement was once a back-office function siloed out of sight, but today it stands front and centre in business operations as a key cog in the machine. Hartley recognises that while it is an exciting time, procurement is still a laggard and restrained. “I would say we’re woefully behind in procurement,” he admits.

“The function’s teams are typically not ones to raise their hand and demand the tools they need to do their job. If you’re a salesperson and you work in a Customer Relationship Management system, it’s a given you need a system to do your job, and if you’re in finance, it’s a given you need an ERP system. When you turn to procurement, there’s not widespread acknowledgement that you need a tool like LevaData to do your job.”

Keith Hartley, CEO of LevaData

Powering smart supply chains

LevaData powers the smartest supply chains in the world by constantly analysing business objectives against real-time market activity and community intelligence. The company is trusted to deliver improved margins, control risks, generate new product velocity, and achieve multi-tier supplier engagement with purpose-built tools for quick collaboration and decisive actions. LevaData creates a competitive advantage with transformational and predictive insights. “What we are replacing are spreadsheets and emails, but some major companies are still 100% reliant on them,” discusses Hartley. “It’s an antiquated way of doing business. Macroeconomic shocks aren’t new, and obviously Covid was a significant one. With these shocks in the global supply chain, you must understand the impact on your specific business.”

Hartley speaks to how at the end of the day, companies still need to make a profit. “It’s about finding alternative sources of supply and buying the parts at the right price. These are challenges that don’t go away; in fact, they were heightened during Covid and have continued with ongoing geopolitical tensions. The reality is there are always macroeconomic shocks that cause supply to be constrained and prices and lead times to be variable. This has a direct impact on how organisations deliver results and drive revenue growth. Covid really heightened the need for companies to get this workflow in order, and that’s what LevaData has been addressing. The procurement people have been thrust into the light. If they don’t have the tools they need, then they’re stuck. The job is incredibly complex, and procurement needs all the help it can get in today’s world.”

The arrival of generative AI

As generative AI continues to emerge in conversations in procurement and beyond, its rise has caused much excitement within organisational structures. Indeed, OpenAI’s ChatGPT’s launch in late 2022 has only amplified this conversation, with many eager to harness the benefit of efficiency and cost savings as quickly as possible. But just because it’s new, does it make it right?

“It’s early days. It’s mostly hype so far in terms of how it’s being adopted and brought forward, but I’ve never seen a faster accelerated hype cycle than gen AI [has] right now,” explains Hartley. “LevaData is a leader in AI and is using it in two areas of our product. We’re still in the early infancy of AI and what it can do. We use AI to help us contextualise all the different data sources. We take over 154 data sources and blend them. This is data that doesn’t make sense together. Most data-heavy people tap out at about 12 or 14 data sources because the mathematics gets so complex. The complexity has kept the indirect procurement providers away from this space.

“The second part where we use AI is where we identify parts based on savings potential. There’s a lot of potential for the generative piece incorporating an even larger number of data sources. This is huge. AI is going to change a lot and will take some time, but I’ve never seen such a rapid hype around AI before.”

Procurement’s golden age

Looking ahead, Hartley is full of optimism and enthusiasm for procurement’s future and believes we are entering the “golden age.” “The best part is that we’re just at the very start,” he explains. “If you’ve been in indirect procurement for the past 50 years, you’ve been wowed by Coupa, JAGGAER and Ariba, as they have sold the world on the benefits of source-to-contract and procure-to-pay workflows. That works well for indirect procurement, when you are buying pencils, chairs and laptops in volume. But the more complex workflow of sourcing direct materials, the very materials that you turn into products to sell in the market, has largely gone unnoticed. Fortunately, companies have realised the direct sourcing opportunity, and started investing in AI-powered tools like LevaData.

“Legacy spreadsheets and email should no longer be the de facto standard for direct material sourcing. With the convergence of AI, big data, and analytics platforms, procurement professionals can be the heroes they and their company deserve. The next decade is going to be a wild ride in procurement.”

At DPW Amsterdam 2023, we chat with procurement leaders to find out why the conference is regarded as one of the most influential tech events in procurement today…

Koray Köse, Chief Industry Officer, Everstream Analytics

“When you go to events that are this disruptive that are actually giving you an environment like a concert where people have a very positive vibe, that’s when the best experiences are shared and people open up. If you listen, you now understand what the real challenges are. If you’re at a conference that is very formal, then you get a very different feeling. It is the casualness of DPW that helps the authenticity of every company and its challenges.

“It’s a unique environment where you get very authentic, bold, blunt, but truthful statements of perception of actuals, desires, future vision, and also conversations about how can we as a community do things differently? How can we as potential future partners do things differently? And how can tech concatenate value and how can we actually now do that in a partnership with companies that we don’t even consider clients at this point? They’re not clients, but they share exactly what they want and those are benefits. 

“I think it’s almost like an incubator environment because a lot of ideas are formed here. Lots of connections are made and a lot of deals for vendors are done too. You look at the floor and there are about 120 vendors all here for the same reason, it’s amazing. To get that concentrated over 48 hours, a lot of people will walk away and need to process what happened and the conversations they had. Then we look forward to next year.”

Koray Köse, Chief Industry Officer, Everstream Analytics

Ashwin Kumar, Vice President, GEP

DPW has given me some insight into what kind of options there are. Sometimes I go through the booths and I see two solutions and question how they’re different. At first, I think they’re doing the same thing. And then once they start explaining, you find out the nuance. Now I understand this may not be applicable for this client of mine that I’m working with maybe this is for a company that’s growing at 30%, not for someone who is already there and growing at 2% or 3%. 

“I think that way DPW has helped me understand how do you stitch different things together and then take it to a client and say, ‘this is the ecosystem you need at this point in time. It could change in six months, or three months, we don’t know. Go with it for now and you don’t have to worry about being married to that solution for too long.’”

Ashwin Kumar, Vice President, GEP

Kathryn Thompson, Partner, Deloitte

“I think DPW shows us the art of the possible in digital procurement. It shows us if you were unconstrained and you could do anything, what would you choose and build? You don’t have that in some of the other tech conferences that are a bit tied into an infrastructure they need to build. I love this what if idea we have here. I think it’s fabulous we have this confluence of organisations that need these tools, all the different startups and solutions to bounce ideas off and work out the future. DPW has real energy and passion like no other. You must get your message across in three minutes or it’s gone, that passion is brilliant because there’s nothing similar.”

Kathryn Thompson, Partner, Deloitte

Scott Mars, Global Vice President of Sales, Pactum

“This to me, especially for Europe, is the premier procurement technology event. All the main vendors, our competition as well as our peers are here. There’s many CPOs in attendance alongside procurement and digital transformation leaders so for us as a vendor, it really is a great audience. We love having the ability to network with our peers or other vendors, potential partners and these procurement leaders and visionaries so it’s definitely a great opportunity to do that. It is certainly one of the best procurement events I’ve ever been to. They do a great job here at DPW.”

Scott Mars, Global Vice President of Sales, Pactum

Karin Hagen-Gierer, Chief Procurement Officer, Scoutbee

“Whenever I go to conferences, I get to see the latest technology exhibited. I can have conversations with many people in a very short period of time. Number two, for me as a CPO, I come here as well to meet my peers and have good conversations. Amsterdam is always a good place to come and maybe combine business with pleasure.”

Karin Hagen-Gierer, Chief Procurement Officer, Scoutbee

Gregor Stühler, CEO, Scoutbee

“Procurement people are incredibly busy and getting a hold of them is quite difficult. Having them all in one spot is super helpful. One key challenge for procurement software providers is that the buying centre is not the same. If you sell sales software or whatsoever, it’s usually the same buying centre. You approach the Chief Revenue Officer or something like that. In procurement, it’s not always the CPO that decides on the tech. But DPW is filtering out and attracting the talent that is making those tech decisions and it’s extremely valuable for the startups and for the tech companies as well.”

Gregor Stühler, CEO, Scoutbee

Alan Holland, CEO, Keelvar

“This event has actually been a catalyst for some of the transformation we’re seeing in procurement. Matthias and his team have grown together best-of-breed vendors and they realised early on that change is afoot and legacy systems are going to become part of the history of the space. He embraced these vendors which are coming up with exciting new developments and provided us with a venue to put our best foot forward and present ourselves to other large enterprises with an appetite for understanding what innovation was required. We’re very grateful to Matthias, we’ve worked with him from day one and we think he’s done fantastic work here.”

Alan Holland, CEO, Keelvar

Prerna Dhawan, Digital Lead, Procurement, The Smart Cube

“I think DPW raises the profile of procurement. DPW has elevated the function because procurement is no longer seen as the industry that thinks of digital at the end. It’s not a laggard anymore. I attended the first DPW event pre-Covid and thought it was brilliant then but it’s got bigger and better since. We talk about this in procurement, you get innovation from your suppliers but if you think about innovation when it comes to technology you have to be open to talk to vendors and that doesn’t happen in other conferences the way it does here. I think DPW has created that platform for learning from each other to happen.”

Prerna Dhawan, Digital Lead, Procurement, The Smart Cube

CPOstrategy explores this issue’s big question and uncovers what the impact of gen AI is in procurement.

The true possibilities of what can be achieved via AI is still being unearthed.

Indeed, the influence of new technology will only grow from here and new digital tools are being introduced all the time.

When it comes to generative AI, there is perhaps a misunderstanding that it is a new innovation. But the history of gen AI actually dates back to the 1960s. Among the first functioning examples was the ELIZA chatbot which was created in 1961 by British scientist Joseph Weizenbaum. It was the first talking computer program that could communicate with a human through natural language. It worked by recognising keywords in a user’s statement and then answering back through simple phrases or questions, in likeness to a conversation a human would have with a therapist. While ELIZA was seen as a parody and largely non-intelligent, its introduction has paved the way for later advancements in Natural Language Processing (NLP) and the future of generative AI.

Fast forward to today and the gen AI conversation and wider tech landscape looks very different. In late 2022, OpenAI launched ChatGPT – technology which has shaken the procurement function and beyond. ChatGPT interacts in a conversational way with its dialogue format making it possible for users to answer follow-up questions, admit mistakes, challenge incorrect answers and reject unsuitable requests. As such, the chatbot has created quite a buzz which has been felt across the globe.

Generative AI’s misconception

Speaking to us exclusively at DPW Amsterdam, Gregor Stühler, CEO at Scoutbee, believes there are some misconceptions around ChatGPT and the nature of how accurate the data it provides actually is. As is the case with any new technology, these things take time. “It’s always the same. It happened with electric cars, nobody thought that would solve the battery issue,” he discusses. “I think we are right at the peak of the hype cycle when it comes to those things and people have figured out what they can use it for. With wave one of gen AI, it is fine to have hallucinations of the model and if something is spat out that is not supported by the input. 

Gregor Stühler, CEO at Scoutbee

“But by the second use case, hallucinations are not okay anymore because it’s working with accurate data and should not come up with some imaginary creative answers. It should be always supported by the data that is put in. This is very important that people understand that if you train the model and if you have the right setting, those hallucinations will go away and you can actually have a setting where the output of the model is 100% accurate.”

Data security

Michael van Keulen, Chief Procurement Officer at Coupa, agrees with Stühler and despite obvious benefits such as time and cost, he stresses caution should be used particularly when it comes to valuable tasks. “If you look at ChatGPT, it’s fine if you’re looking for recommendations for something low-risk. I need something for my wife’s birthday next week, you input three things that she loves and ask it to help. It’s great,” he tells us. “But it comes from data sources on the web that aren’t always governed, controlled or trustworthy. It’s whatever is out there. What about the algorithms that come with ChatGPT? I don’t know what’s influencing the search criteria. On Google, if you pay you are at the top of the search bar. But I don’t know what ChatGPT is governed by.”

Michael van Keulen, Chief Procurement Officer at Coupa

Managing data leakage

Danny Thompson, Chief Product Officer at apexanalytix, explains that one of the biggest challenges with generative AI is being aware of a leakage of sensitive information combined with a contamination of important data. “We have a database of golden records for 90 million suppliers who are doing business with Fortune 500 companies and that is the best information we’ve been able to accumulate about the suppliers and their relationships as a supplier to large companies,” he tells us.

Danny Thompson, Chief Product Officer at apexanalytix

“We want to make sure we’re not loading sensitive information into a generative AI function that might allow just random people to access that data. Ultimately the customers in the space that we’re operating in are serious companies moving around large amounts of money and facing real risks that they have to manage. It’s really important that the data that they have is either highly accurate or at least they understand the degree to which it’s accurate. This means if you’re using the solution that you don’t understand the level of trust you can have in it, then you shouldn’t be using it yet.”

Can generative AI bridge the talent shortage?

Amid talent shortages in procurement, there are some sections of the procurement space questioning to whether AI and machine learning can plug the gap and reduce the necessity of recruitment. Naturally, this raises the debate of whether robots will replace humans. Stefan Dent, Co-Founder and Chief Strategy Officer at Simfoni, adds that while AI and machines won’t replace humans, it will mean people will need to find new forms of work and take on higher-value roles.

Stefan Dent, Co-Founder and Chief Strategy Officer at Simfoni

“The shape and structure of the modern procurement function will change quite dramatically and people will need to upskill,” he discusses. “A lot of the work will be taken over by the machine eventually either 20%, 50%, and then a hundred percent. But the human needs to have that in mind and then plan for that next three to five years. The procurement function of the future will be smaller, and they should purposely be doing that, to then look at solutions to find a way to enable it to happen naturally.

Future proof procurement

“For someone who’s joining procurement now, you’ve got this great opportunity to embrace digital. Young people can question ‘Well, why can’t it be done by a machine?’ They’re coming in with that mindset as opposed to fighting being replaced by a machine. I think for graduates coming into procurement, they’ve got the opportunity to play with digital and actually change the status quo.”

As we look to the future, gen AI and new forms of technology will continue to change the world and the way we work. In the short term, work is expected to continue to upgrade the user experience and workflows through gen AI in order to build greater trust for the end user. As transformation continues to happen, businesses and wider society must embrace new types of AI to thrive and stay ahead of the latest trends. The potential that gen AI tools possess is expected transform the workplace of tomorrow while delivering value-add such as time and cost savings on a day-to-day basis.

Given the speed of evolution and development, it is yet unimaginable exactly what form the digital landscape will take in years to come. However, that horizon brings with it fresh opportunity and excitement revolving around a whole new world of technology at our fingertips. The future is digital.

As AI continues to emerge in a big way, Vicky Kavan, Vin Kumar and Nicolas Walden explores what the AI opportunity is in procurement?

Procurement is a hard function to impress. Other parts of the business can afford to get carried away now and then, but not procurement. Everything in procurement comes down to finding value and then making sure you don’t overpay for it.

Artificial intelligence (AI) might seem like just the kind of emerging new technology that procurement would shy away from. But, as many procurement leaders already understand, this would be a big mistake. In our work with the world’s largest companies, we see two kinds of major emerging AI opportunities you won’t want to miss. The first group – how we execute our procurement using, for example, new autonomous sourcing systems – can save millions today. While the second – the advent of AI-driven automation and enhancements across almost every industry and areas of spend – will help save you even more tomorrow.

Savings today

In terms of the impact of AI, procurement executives predict that supply market intelligence (50% of respondents), contract management (43%) and bid optimization (37%) will be some of the greatest opportunity areas for AI technology.

Despite this, and even as most AI and generative AI systems remain pilot projects, autonomous sourcing systems are already transforming how procurement functions operate at large multinationals. Many procurement executives have told us that they find these systems, which can automate execution in either tactical or strategic areas and provide enhanced decision support, extremely valuable:

  • Clients tell us these systems are helping them reduce cycle times dramatically – from months to weeks or weeks to days – and cut costs by 10% or more. Supplier discovery?  Shorter. E-sourcing? Shorter. Contract development? Shorter. While it is in the early days, time savings of 30% or more can be possible.
  • When MTN Group, an African multinational telecommunications giant, installed its Procurement Cockpit platform, the system paid for itself in four weeks because the AI-enabled software quickly identified new opportunities, consolidated pricing insights from around the sprawling corporation and accelerated negotiation preparation.
  • These systems are now making themselves useful across a range of sectors. Procurement executives at a major U.S. retailer, major European telecom and major European energy company all told us that these systems have saved time and money. Use cases include replacing the need to write detailed requirements, sourcing questions and even contracts through the use of modified templates through to tactical price negotiations.

Strategic drive

From strategy to insights, sourcing and negotiating ­– to contract drafting and supply risk management – AI-enhanced systems will make procurement faster and simpler. Although feature sets and value propositions vary from vendor to vendor, promising  autonomous sourcing systems fundamentally change how technology engages with stakeholders using chatbot-style interfaces to summarise requirements as an output of discussions; search and identify providers of products based on a variety of market, process and business considerations; prepare request for proposals and contracts; and maintain a higher degree of compliance with regulations. Some of these systems can even execute simple one-round negotiations. At the moment, Globality, Fairmarkit and Pactum (for negotiations) are three of the biggest names in this space.

Savings tomorrow

Eventually, we expect that AI-enhanced functionality is likely to yield major cost savings in almost every spend area, business function and industry sector.

Contact centres or marketing services, for example, could already send out automated posts and even voice responses that mimic the voice of your choice. A travel agency might be able to supplement human customer service with a robot concierge, making it possible to achieve a much greater level of service than ever before. Such changes won’t happen immediately – implementing them is not a quick win – but AI enhancements will be a huge source of value and service improvements down the line.

Category managers, be advised: the general consensus among purchasing executives we polled recently is that fleet, digital tech, advertising and general equipment are the categories that will benefit most from AI-enabled technology.

Of course, as with most powerful tools, AI-powered services also create new sets of potentially considerable risks. For example, you will need to make sure that your contracts are clear about what your vendor can do with your data – can it be aggregated in a large language training model? If that model leads the company to develop a more advanced service, do you want to be compensated for your contribution? Are you covered for potential liabilities if you transfer customer data to your AI vendor and your customer’s information is somehow revealed? If you work with an AI vendor and create intellectual property on its platform, who owns that new product? There are many new angles and issues that you will need to consider.

Looking ahead

Over the next five to 10 years, AI is likely to transform many aspects of business, including procurement. Based on The Hackett Group’s analysis of 44 Level 2 processes across the source-to-pay, end-to-end process – for a company performing at the median of our database – there is a potential to reduce staff by up to 46% over the next five to seven years.

Clients have told us they see digital technology (including AI) as the most transformative trend facing procurement in the next few years (71%) – more important than data (51%) or environmental, social and governance, and sustainability (47%). For procurement professionals, how the work is done and where they will find value are both likely to change dramatically. Given the speed with which we expect these opportunities and their attendant risks to develop, now is a good time to start thinking about the opportunities AI can create for your team.

By Vicky Kavan, Vin Kumar and Nicolas Walden

Just how much of the procurement process can be automated, and who does it help?

It’s hard to argue that 2023 will be remembered as the year that generative AI exploded into the public consciousness. Image and text generation in the form of ChatGPT and Midjourney ignited excitement, controversy, contempt, and a fervour to adopt in equal measure. The generative AI industry is predicted to be worth more than $660 billion per year by the end of the decade.

But while there’s no denying that generative AI will be a part of the economic landscape of 2024 and beyond, it’s not yet clear what that will look like. More importantly, it’s no guarantee that generative AI will, uh, generate any ways for the technology to make back the hundreds of billions already spent to develop it. 

It wouldn’t be the first major trend to be backed to the hilt by big tech firms, only to dissolve into nothingness like that racoon who drops his cotton candy in a puddle. In stark contrast to 2022, this year’s tech roundups and trend predictions have put a conspicuous lack of emphasis on the metaverse. Now, to be clear, the fact that Yahoo Finance calculated that “Mark Zuckerberg’s $46.5 billion loss on the metaverse is so huge it would be a Fortune 100 company” is great news for those of us who didn’t want to spend our thirties attending meetings in a glowing virtual mallscape surrounded by cutesy, animated versions of our bosses and coworkers. Huge relief. It’s also quite funny. More relevantly to the topic of generative AI is the cautionary tale that, unless big, expensive technological developments can be monetised, they will disappear.

So, how do we monetise generative AI?

How to make generative AI useful

Technology is most valuable when it solves problems, and saves time and money, or at least improves people’s quality of life—when there’s a measurable benefit of some kind, sometimes to humanity, and usually to shareholders. That’s the stuff that sticks around.

While its applications and capabilities—especially when it comes to creative tasks or just the ability to make something actually original—are limited, generative AI may actually be a good fit for the procurement sector, potentially solving a major issue the industry is currently experiencing.

Generative AI and the Procurement Skill Shortage

The procurement sector is short on talent—with five out of six procurement leaders claiming they will lack skills, staff, and other vital human resources in the near future. This is the case for several reasons, but primarily: an ageing workforce is starting to retire faster than new hires can skill up; also, the requirements of the job are becoming more technology centric as procurement digitally transforms, leaving departments underskilled even if they’re no understaffed; and lastly, the amount of work for procurement functions is increasing overall, as it becomes more of a driver of business efficiency and innovation.

If generative AI could be used to reduce procurement teams’ workload by automating certain aspects of the job, it could be a key piece of the puzzle when it comes to solving the skill shortage.

Retail giant Walmart has been successfully running pilot projects using its AI-powered Pactum solution to automate supplier negotiations. According to Deloitte, not only did Walmart find it “helpful for landing a good bargain, three out of four suppliers prefer negotiating with AI over a human. This strongly indicates that the ecosystem is ready to embrace this disruption.” While I’m not sure if this example is an endorsement of AI or an indictment of Walmart’s procurement team, the ability for generative AI to take over routine communication, negotiation, and other interactions in the source-to-pay process could free up huge amounts of time to focus on more strategic activities.

Gen AI’s future

It’s not hard to imagine that both buyers and suppliers could input their desired results and parameters into a generative AI negotiator and outsource the relationship management entirely. Out of curiosity, this morning I set up ChatGPT in two windows and had it conduct an RFP, tender negotiation, and sale agreement for the sale of an order of self-sealing stem bolts between O’Brien Enterprises and Quarks. It was a very civil, if slightly roundabout affair, and everyone seemed to come away happy—hacky business journalists especially.

Goofy demonstrations aside, there’s real potential for significant elements of routine communication and relationship management in the procurement process to be automated, or at least assisted by generative AI. If correctly combined with data analytics on contextual information ranging from weather patterns, commodities pricing, and supplier behavioural history, a generative AI could offer useful insights to procurement professionals while its generally low threshold for usability allows less tech-savvy procurement professionals to harness more powerful digital tools.

By Harry Menear

How Big Data can increase resilience, mitigate disruption, and help procurement teams spot danger before it’s too late.

In the procurement sector, successfully managing risks while achieving your other strategic objectives is what sets a successful procurement function apart from those that can expect to experience disruption. Today, however, procurement teams face greater risk than ever before as supply chains become more complex, ESG goals become more ambitious, and the parameters for compliance get narrower. 

Technology—powered by artificial intelligence and big data analytics—is radically digitalising the procurement process. While this has the potential to increase efficiency, revenue, and accelerate the procure-to-pay process, it has also driven complexity. Luckily, digital transformation also holds the key to managing this complexity. Digital tools, powered by artificial intelligence and machine learning, can tackle larger and more complex amounts of information than ever before. These analytical tools and their more powerful capabilities in turn have seen viable data sets balloon to include vast quantities of structured and unstructured data from throughout the supply chain, gathered together under the umbrella of Big Data.

Data source

Big Data, in gathering together vast amounts of information about every aspect of the source-to-pay process, in addition to broader contextual information ranging from economic instability to weather patterns, can help procurement professionals build up a more comprehensive, nuanced understanding of their procurement process than ever before. The level of visibility is unprecedented, even in a sector where supply chains are more complex than they’ve ever been.

Complex supply chains are more prone to disruption. More moving parts and longer distances to travel mean higher likelihoods of things going wrong. Michael Higgins, founder and CEO of Clutch, wrote recently that “risk is inherent at every step of the supply chain, from moving raw materials to manufacturers and between manufacturers and the distributor,” adding that “The added value of big data analytics is predicting potential disruptions, giving procurement managers time to make intelligent decisions.”

Procurement transformation

Advanced analytical tools can be used to track the weather, potential disruptions to agricultural or construction operations, political unrest like demonstrations or riots, and changing legislature that may affect everything from compliance to price. Because Big Data analytics are increasingly capable of collecting and analysing all of these factors and more, procurement professionals have the capacity to counteract sources of risk that traditionally would have seemed as inevitable as an act of divine wrath.

The risks to a supply chain are really representative of risks to your suppliers and their networks. Big Data analytics is also granting insight into the workings of—allowing a huge number of variables tied to each supplier to be tracked and used to make decisions. The result is a more agile and reactive procurement process that can analyse and respond to data analytics in real time, as opposed to trying to make best guesses based on past results and limited human judgement.

Procurement is truly transforming from the back office to the boardroom—becoming more strategic, digitally empowered, and complex than ever before—and Big Data analytics are increasingly a vital part of the function within the modern source-to-pay process.

By Harry Menear

Jamie Ganderton, Vice President at Proxima, examines the future of sustainable procurement going into 2024.

As we step into a new year and inch closer to the global sustainability targets set for 2030, the spotlight on sustainable procurement will only continue to intensify. The aftermath of COP28 has placed an even greater emphasis on the role that large corporations play in global decarbonisation. This, coupled with incoming rules and legislation across Europe and the United Kingdom, such as the European Corporate Sustainability Reporting Directive (CSRD), has underscored the critical need for agile and proactive approaches to corporate sustainability action.

The Scope 3 Benchmark, a tool developed to enable organisations to collaborate to advance progress on sustainability targets, has shown that Scope 3 still remains a challenge and 2024 will be a pivotal year in addressing some of the fundamentals as we move within just two short contract cycles away from 2030. Looking ahead, the focus will sharpen on bridging the gap between sustainability objectives and procurement strategies, with an emphasis remaining on translating lofty sustainability goals into actionable procurement strategies. As we navigate 2024, collaborative advancements, data-driven insights, and the proactive evolution of procurement practices will be critical drivers, propelling sustainable procurement into a new role of implementing purposeful action.

Embedding sustainability targets into procurement strategies

Whilst it seems like an obvious starting point, many procurement teams have not yet fully embraced the need to translate sustainability requirements into procurement strategy. Even for those that have, challenges remain to translate sustainability language into effective procurement strategy. There is a tendency for organisations to panic and jump straight into supplier engagement, without first planning who they are going to engage and what are they going to need from them.

The goal for many in 2024 should be to plan out how the next six years are going to look and begin progress as soon as possible, because we know that change takes time and never happens as quickly as we intend. Sustainable procurement transformation is going to require focus and investment to get right. The core focus areas should be measuring emissions to drive action, developing the functional enablers to support the change, and developing the strategic levers for decarbonisation.

Leveraging emissions measurement to drive action

The primary starting point is to understand your emissions, in detail. Embrace carbon emissions measurement and start reporting them, ideally across all categories of Scope 3, but at least the core supplier-related areas. Following the GHG Protocol’s spend-based methodology is an adequate starting point, provided the outputs you develop allow you to drive insights into your emissions “hotspots” and start evolving greater accuracy as data quality and supplier maturity improves. Procurement teams can then begin to develop the strategic decarbonisation levers they will need for their categories.

Making procurement functional enablers

Building a sustainable procurement function requires the right support pillars, but evidence coming from the Scope 3 Benchmark suggests that some key foundations are missing. Firstly, there is a lack of directly invested resources, and there are also limited numbers of support team members. The volume of interaction with suppliers on Scope 3 is high, therefore you need someone to set the strategy and have an effective team to enact it. Even medium-sized businesses will have a reasonable number of material emitting suppliers who need engagement and management, which creates an increased workload for supplier management teams.

Additionally, many organisations have limited Scope 3 learning and development capability plans to support team members in developing their carbon literacy and bridging the skills gap.

At some point procurement needs to be bold and make carbon a key consideration throughout decision making, from up-front category planning, through to RFx and sourcing processes, negotiations and contracting, and post-contact supplier management. If there is no consideration given to carbon with equality to the classic cost, quality and service evaluation, then we will never make different decisions. There will never be a commercial incentive to suppliers to support decarbonisation efforts and we will inevitably fail. In 2024, we will begin to see more forward-looking CPOs begin to build carbon pricing into their decision-making, paving the way for processes to change.

Developing policy to help suppliers face reality

Traditional procurement policies are usually written once and then set in stone without the need to revisit them any time soon. Over the coming years, the old Procurement Policy is a tool that has the power to make a huge impact and one that needs its own evolution. This policy development will enable a blanket application of sustainability to be adopted without procurement intervention in every sourcing decision. Between now and 2030, we need to strengthen the requirements annually to allow suppliers to gradually get used to the changes and ratchet up the pressure over time. At some point in the future, there will be a decision not to trade with some companies if they have not met minimum standards. This tough line should motivate those to change or risk losing business.  

Once procurement teams get to grips with what is driving carbon emissions in the supply chain, they then needs to develop the right approaches to motivate, encourage, and sometimes force suppliers to act. Some suppliers will be on board with the need to decarbonise and happily support the process, whereas others will need significant levels of ‘encouragement’. Some categories will be relatively straightforward to plot a pathway to decarbonisation, whereas others have more complex challenges and require more strategic levers. Category teams will need to build a comprehensive picture of their suppliers and in many cases begin the co-development of solutions to tomorrow’s problems. Research and innovation, product reengineering, and demand management can all play a significant role in reducing emissions, but release of value may be some time in the future, which places a greater emphasis on 2024 being the year to truly put weight behind the efforts.

A green future

As we look to 2024, a lot needs to change if we are going to meet the looming global sustainability targets. Many procurement teams are still grappling with integrating sustainability into their strategies. The next few years mark a critical juncture and demand meticulous planning and swift action. Transforming procurement practices to align with sustainability goals requires measured steps, starting emissions measurement and building a strategic decarbonisation plan from there. Whilst there is a lot to be done, with the right strategies in place, procurement teams are poised to play a pivotal role in accelerating organisations’ progress towards net-zero.

Jamie Ganderton, Vice President at Proxima

A consortium of volunteers from California have slowly restructured their state schools’ digital procurement process. Next year, it plans to go national.

Procuring digital goods and services for public schools in the US has reportedly been a fraught process for decades. A fractured landscape between underfunded public institutions and a private tech sector has struggled to even accurately assess students and regulators’ needs, let alone finding the right edtech (education technology) to meet those needs. 

This is all made harder by an increase in the amount of technology being integrated into schools—whether that’s good, bad, or maybe both, it’s undeniably expensive. The global education technology market was valued at $123.40 billion in 2022 by Grand View Research. It’s expected to expand at a rate of 13.6% between now and the end of the decade.

The power of education for procurement

Edtech is also a wide umbrella, with examples ranging from apps, overhead projectors, and chromebooks for students to thousands of screens, digital signage, and “content management platforms” like those found in Christopher Columbus High, an all-boys prep in Miami which the South Korean tech giant Samsung has transformed into a “connected campus”. In the US, procurement functions working for individual school districts are often forced to work with smaller budgets, fractured regulatory landscapes, and to compete with private schools with larger budgets that drive overall prices in the sector up.

Tired of inefficient processes and uneven contracts, a consortium of procurement professionals working in the California public school system are looking to change the edtech procurement process in the US.

The Education Technology Joint Powers Authority (Ed Tech JPA) was formed “out of frustration” with the existing system, or lack thereof, in 2019. The volunteer group, made up of procurement specialists and school purchasing professionals, has spent the past four years streamlining procurement for digital products and services, leveraging the buying power of multiple schools to negotiate prices, buy in bulk and save money.

From a grouping of school districts located in Irvine, San Juan, San Ramon Valley, Fullerton, Clovis, El Dorado County and Capistrano Unified districts, the consortium has grown to include 163 member districts that educate around 2.3 million students. The organisation has been awarded 23 procurement contracts to date, and is growing rapidly in education.

At the California IT in Education (CITE) conference, held in Sacramento during November, JPA President Brianne Ford, predicted that next year would see the program expand beyond California and make group bargaining procurement for edtech a national feature of the US school system.

By Harry Menear

Ask Procurement—a generative AI procurement solution—is being developed for the market by IBM using Dun & Bradstreet’s “huge data cloud”.

In order to develop more effective and market ready digital solutions for supply chain and procurement professionals, IBM is partnering with Dun & Bradstreet, a data-dealer with access to vast quantities of raw information gathered from a wide variety of sources, as well as cutting edge analytical tools. Together, the companies will work on expanding the capabilities of IBM’s watsonx to expand their use of generative artificial intelligence (AI).

Through the collaboration IBM and Dun & Bradstreet intend to develop multiple offerings for clients to incorporate into their AI workflows, leveraging IBM’s AI and data platform, and fueled by Dun & Bradstreets’.

Ask Procurement

The leading solution in development, according to an IBM press release, is Ask Procurement, a generative AI-powered procurement solution that will “help empower procurement professionals to unlock new data and insights with a 360-degree view into all aspects of a company’s business relationships to help increase savings, reduce time, and mitigate the potential for risk.”

Ask Procurement is expected to use Dun & Bradstreet’s platform, but feature watsonx supported models and other generative AI capabilities “fueled by Dun & Bradstreet’s vast Data Cloud.” The solution is expected to be available to procurement teams in the second half of 2024, integrated with Dun & Bradstreet solutions or an enterprises’ existing ERP or procurement solution.

“At Dun & Bradstreet, being a trusted data partner and a responsible AI partner to organisations are synonymous,” said Ginny Gomez, President, North America, Dun & Bradstreet. “As two trusted brands that bring nearly 300 years of combined experience to the businesses we serve, Dun & Bradstreet and IBM are ideally suited to help companies responsibly navigate the rapidly evolving generative AI space because we know their business environments and processes well. And with hundreds of thousands of organisations globally relying on us every day, we believe there is no better company than Dun & Bradstreet to lead the industry and our clients into the future.”

By Harry Menear

A closer look at some of the best tools to help your procurement function capture the potential benefits of a world powered by big data.

Procurement is becoming an increasingly data-driven field. Correctly gathered, organised, and analysed, Big Data sets can help a procurement department do everything from increase efficiency and reduce costs, to make more ESG-conscious decisions or shore up their supply chain against unexpected disruption. However, managing huge amounts of structured, unstructured, internal, and external data can present a significant challenge for procurement staff. This is especially true when procurement professionals haven’t needed to also be data analysts until recently. This means there might be understandable skill gaps in your team.

Luckily, there exists a wealth of digital tools designed to capture, analyse, and generate insights from massive amounts of data. This is all specifically catered towards enhancing and elevating your procurement function. Here’s a closer look at five digital tools to help maximise the potential of Big Data in your procurement function.

1. GEP Smart

With AI-powered spend analysis, as well as strategic sourcing, purchase order processing, and invoice management, GEP Smart is one of the more broadly capable and robust procurement tools on the market. The platform is capable of absorbing, collating, and converting large data sets into everything from compliance procedures to supplier management strategies.

2. Kissflow

For smaller organisations still in the process of growing their procurement teams, Kissflow can help bridge the gap between a legacy or underdeveloped procurement function and where it needs to be with less emphasis on learning complex new digital tools. Kissflow is all about being simple, accessible, and customisable. The platform handles basic procurement functions natively, but integrates with a huge variety of other tools and programs.

3. Coupa

Focused largely on spend management, Coupa unified, streamlines, and empowers the source-to-pay process. The firm uses Big Data analytics to manage working capital and forecast budgets, giving procurement professionals more visibility over finances.

4. Tamr Procurement Analytics

Tamr Procurement Analytics specifically targets the problem of siloed data within the supply chain, helping procurement professionals quickly unify their data sets and start using artificial intelligence to generate insights at speed. The AI and machine learning decision engine underpinning Tamr’s platform enriches user data while also curating it against a rigorous set of standards to ensure quality.

5. TARGIT Decision Suite

TARGIT is a business intelligence and analytics tool that can gather observations from throughout the supply chain. This allows them to be more easily converted into actionable insights. The platform embeds directly into internal and external-facing portals, allowing a procurement team to share dashboards with the entire supply chain network. By creating a holistic impression of the entire supply chain, TARGIT improves the results of its predictive analytics, increasing efficiency and resilience.

By Harry Menear

At DPW Amsterdam, Kathryn Thompson and Fraser Woodhouse, Partner and Director at Deloitte, discuss the rise of generative AI and the impact on procurement.

Procurement is changing.

That’s something that isn’t lost on Kathryn Thompson, a Partner at Deloitte.

As part of her role, she leads the Sourcing and Procurement Market Offering within Deloitte’s Consulting division in Europe, Middle East and Africa. Originally from Australia, Thompson has worked in procurement since 1996 and has observed quite the evolution over the past two and a half decades.

Procurement’s transition

Over the years, procurement has shifted from a traditional back-office function to an entity operating at the fore of a company’s strategy. Having been involved in the industry for more than 25 years, Thompson has had a front-row seat to procurement’s digital transformation. While she affirms that AI has changed procurement, she isn’t convinced that generative AI is changing the space – yet.

Kathryn Thompson speaking at DPW Amsterdam 2023

“We see lots of AI tools pulling from different data sources to apply intelligence to different decisions,” she explains. “But the generative part, beyond contract summaries or pulling together draft RFPs, remains to be seen at scale.  One of my more sophisticated clients has run 300+ Proof of Concepts in AI across their business, including and beyond procurement, and admits they are yet to scale or drive meaningful ROI from any POC. At the moment, the generative AI side for us, isn’t getting past proof of concept or the pilot stage yet.”

Fraser Woodhouse is a Director at Deloitte and has been with the firm since February 2019. He believes that procurement and sales teams will use gen AI for RFPs over the next six months. “I think they’ll do it without telling anyone,” he explains. “It will eventually get to a point where I think that sort of crutch will become a necessity. When it’s built into the enterprise platforms, people will forget how to write contracts because the AI does it automatically. People will even use it to write their emails.”

The AI dilemma

AI on its own is pointless – it simply doesn’t operate the way you need it to. That’s why the importance of making tech work in a way that creates efficiency has never been more important. For Woodhouse, he insists it’s about putting a human at the right place in the process. “One of the solutions I saw was a gen AI assistant helping write an RFP built in, but then the supplier has a gen AI assistant helping do the response to the RFP as well,” he tells us. “Very quickly you’ve got two AIs negotiating with each other, and that doesn’t work unless a human is curating stuff at that point in the middle.”

Given the ease of AI usage, there is a discussion as to whether tech implementation could go too far the other way. Could humans lose the ability to perform simple tasks they previously wouldn’t have thought twice about? But Woodhouse is quick to dispel that myth and believes that despite the growing reliance on technology, people won’t be rendered useless. “People didn’t forget how to communicate when spellcheck came around, they could communicate better,” he explains. “If you are a supplier and are responding to an RFP and you’re pressing their generative AI button to build the response and five of the other suppliers are doing the same thing, who’s going to stand out? The ones who wrote it themselves or at least edited it and had meaningful input.”

“You can use AI for the transactional, easy stuff but there must be a value underpinning it,” adds Thompson. “The winners are going to be the ones that are human about things.”

Fraser Woodhouse and Kathryn Thompson speaking to CPOstrategy at DPW Amsterdam 2023

Procurement’s place

With such significant innovation happening, it is seen as a transformative time to be in procurement. As automation speeds up, the necessity to upskill new graduates coming into the workforce and encourage them to learn higher-value work earlier in their career journeys is becoming increasingly important.

“Covid and the following work from home attitude has a lot to answer for,” explains Thompson. “Pre-Covid, you would rarely work from home. Consultants, suppliers, delivery partners always went to the client’s site. That’s where innovation, creativity, results that are more than the sum of their parts happen. That’s not replicable by generative AI. We need to get everyone back out there and doing things. Rather than replacing jobs, we’re replacing tasks. The tasks that we’re replacing are the likes of data analysis, synthesising, and summarising. Hopefully, it means we’re doing real-life negotiations, brainstorming and innovation instead which are the things that people love to do. Fingers crossed, it just means the bar goes up.”

Automotive supplier Continental has chosen to work with JAGGAER to implement its global purchasing strategy while driving digitalisation.

Spend management firm JAGGAER has announced it is working with automotive supplier Continental to push its digitalisation agenda.

In a press release published on Monday (December 11), it was revealed the manufacturer will use JAGGAER’s spend management tools to implement its global purchasing strategy. The JAGGAER ONE suite will counteract previously isolated solutions and harmonise the areas of purchase-to-pay, source-to-contract and business partner management.

A multi-stage rollout is set for launch, beginning in Germany and the United States before being slowly expanded globally.

The release detailed that one of the most important factors for Continental choosing JAGGAER was due to the extensive and highly standardised range of functions of JAGGAER ONE, which already covers many existing requirements. In addition, this not only ensures a quick time-to-value, but also ensures a low implementation risk. Continental confirmed it found JAGGAER’s multi-ERP capability “particularly impressive”, with a total of 30 ERP systems needing to be connected.

Following the project’s launch earlier this year, the implementation of JAGGAER solutions within Continental will take place in several stages. Initially, the company will focus on the procurement of non-production materials and raw materials. It will start with the optimisation of the source-to-source contract process. In the next project phase, Continental will focus on the procure-to-pay process to ensure security of supply for employees globally. This is done via predefined catalogues and to optimise follow-up processes.

As well as the global rollout and digitalisation, there are also plans to expand the use of software to direct purchasing.

Only one in six procurement teams have “adequate talent” to meet their future needs, as industry demands grow and evolve.

Fewer than a fifth of procurement directors and executives believe that their teams contain “adequate talent” to meet the future needs of their organisations’ procurement functions.

In a recent survey of 111 procurement leaders, analyst firm Gartner found that, while procurement leaders remained fairly confident in their current talent pools, when asked about their ability to meet future demand, confidence plummeted.

“Procurement leaders are generally confident in the current state of their talent and the ability to meet their near-term objectives,” commented Fareen Mehrzai, Senior Director Analyst in Gartner’s Supply Chain Practice. “However, our data shows that chief procurement officers (CPOs) are worried about the future and having sufficient talent to meet transformative goals based around technology, as well as the ability to serve as a strategic advisor to the business.”

The threat of an industry-wide talent shortage has been looming for several years, and isn’t constrained to the procurement and supply chain sectors.

In the UK, half of all employers expect to face talent and skills shortages when recruiting procurement and supply chain professionals—something 20% of firms believe will be exacerbated by Brexit. In Europe, firms say they already lack “highly qualified procurement personnel”, with 78% of procurement leaders surveyed as part of a recent Accenture report “increasingly confronted with skills shortages in their procurement departments.”

A Different Beast: Procurement Professionals’ Key Competencies “Shifting”

One of the key reasons that procurement leaders lack confidence in their industry’s talent pipeline to meet future demands is reportedly the shifting nature of the modern procurement function.

“Procurement leaders are aware that the competencies required to drive transformation are different from traditional procurement skills, and that there are significant gaps between their current and future needs for the most important competencies,” Mehrzai said. Only 4% of surveyed leaders said that no gap existed between their current capabilities and their need for technology and data skills, with 68% of leaders saying technology and data skills had become more important to the operation of their procurement function in the past year.

Increasingly, procurement is a data-driven, technology-focused sector, but it appears the development and recruitment of available talent lacks behind the sector’s need to not only drive transformation within the business but also serve as a strategic advisor to its key decision makers. As generative AI and data analytics are adopted in greater concentrations across the sector, the demand for professionals who are primarily equipped with technology and data-centric skillsets — at the potential expense of a traditional procurement background — will only increase.

By Harry Menear

At DPW Amsterdam 2023, Prerna Dhawan, Chief Solutions Officer at The Smart Cube (a WNS company), tells us about the importance of remaining focused on fixing the problem and not leveraging technology for technologies sake.

“You don’t need AI or even gen AI for the sake of it.”

In today’s world, everyone is obsessed with what’s new and fresh. Like in most other functions, in procurement, the latest craze is generative AI, with ChatGPT being one prominent example. Despite new technology’s clear benefits, such as cost and time savings, it’s important to keep the problem you’re trying to solve and the business impact you’re looking to make front of mind.

Prerna Dhawan is the Chief Solutions Officer at The Smart Cube. Like many of her peers, Dhawan recognises the potential that new technology brings but also shares concerns. “Like everyone else, we’ve been on that bandwagon as well,” she tells us. “For us, there have been two key learning so far. We have already done one live deployment of gen AI. We went live with our gen AI model earlier this year, which enables users to skip the stage of manually searching for content on Amplifi PRO, our on-demand procurement intelligence platform. You just ask the question and our platform leverages a custom NLQ framework and gen AI to provide a natural language response. Using a combination of our own AI models and gen AI provides a more dependable, accurate response as pure Gen AI isn’t fully functional for all types of analysis and can’t be trusted completely.”

Navigating AI adoption

Indeed, there has been criticism from some sections about ChatGPT providing hallucinations and making key data up. For multi-million pound organisations responsible for high levels of spend, this isn’t good enough. A second learning Dhawan is keen to get across is that she believes that gen AI is being dominated by hype. She explains that with any “new shiny object”, it should be treated with caution.

“I’ve tried to explain this a little bit, but everyone is excited about new things. A recent example is another use case where we were experimenting with our digital assistant,” she explains. “There was a point where we used a 100% gen AI approach, and we were still getting issues and hallucinations where the queries weren’t being answered correctly. The team said we needed to make it work and I explained that, ultimately, a client needs to solve the problem, they’re less hung up on how this is done. Sometimes people get lost with the technology and the approach. You have to ask yourself, are you solving the problem? If the answer is to just input a human and you don’t need AI, then do that.”

Prerna Dhawan, Chief Solutions Officer at The Smart Cube, sits down with CPOstrategy at DPW Amsterdam 2023

The journey

Armed with more than 16 years of experience in developing client solutions, managing strategic relationships, defining product strategies and driving profitable growth, Dhawan has worked with procurement, supply chain and corporate strategy teams across many global 2000 companies. Throughout her career, she has helped them embed intelligence and analytics as enablers of competitive differentiation and business transformation, along with The Smart Cube’s co-founders Gautam Singh and Omer Abdullah.

The Smart Cube is a WNS company and is considered a trusted partner for high-performing intelligence that answers critical business questions. The Smart Cube works with clients to figure out how to implement answers faster through customer research, advanced analytics and best-of-breed technology. The firm transforms its data into insights – enabling smart decision-making to improve business performance at the top and bottom line. Together with WNS, expert resources are combined with leading digital technologies, merging human intelligence and AI with innovation.

Digitally-enabled future

While AI’s challenges should be acknowledged, Dhawan is in no uncertain terms about the importance of stepping out of comfort zones and meeting fear head-on. Change can be a divisive topic with human nature being to cling on to what’s familiar. However, this can result in becoming reactive and failing to keep up with competitors.

Prerna Dhawan, Chief Solutions Officer, The Smart Cube

“As leaders, if we want to change the game of procurement and redefine the value we create for a business, we have to be more open to embracing new things,” she explains. “If you learn what the capabilities of new technology are and where you can actually use it, everything has strengths and weaknesses. Ask yourself – do you want to be an early adopter or do you want to be a laggard in your industry? All of this has the potential to give you that competitive advantage. It’s about being open, experimenting at pace, but also not being blinded by the magic and assuming everything will just work. There will be changes needed to your processes and people’s mindsets.”

Procurement’s future

With the future of procurement set to continue to be digitally-enabled and full of innovation, Dhawan believes the function now has its seat at the table and is ready to thrive.

“If I look at my journey from when I started in procurement, clients were asking questions like ‘Who are the suppliers in the market? How do I get the best price?’ Procurement is now getting involved at the new product development stage and is even advising the business on what ingredients to use while taking a more total value approach,” she discusses. “When you’re thinking about the product, do you want to put in palm oil or sunflower oil based on sustainability considerations, and how can you justify additional costs of a sustainable supply chain? Procurement isn’t just supporting the bottom line but also influencing the broader business goals of sustainability, innovation and resilience. It’s a great time to be here.”

Conrad Smith, Founder and CEO at Graphite Systems, discusses the similarities between Formula One and procurement amid significant digital transformation.

“Our business, like the F1 driver, knows to go fast.”

You’d be forgiven for thinking that procurement and Formula One are worlds apart at first glance. However, to Conrad Smith, Founder and CEO at Graphite Systems, they are actually a lot closer than initially meets the eye. A petrolhead by his own admission, Smith shared the stage with Haas Team Principal Guenther Steiner at DPW Amsterdam 2023. As a purchaser with almost 30 years of experience, Smith has overseen quite a transformation during his procurement career. He says that with everything going digital, you would assume that purchasing would accelerate. But it is, in fact, the opposite.

The pace of purchasing

“Over these 30 years, you would think purchasing would be getting faster,” he tells us. “Business is speeding up, but purchasing is slowing down – that’s stunning. When you think about it, where else in the world is slowing down when everything’s going faster and faster? Even though we’re investing in Coupa and Ariba and all of these expensive purchasing tools, it’s still slowing down. Our business stakeolders know business is speeding up, and so their tolerance is going away. In the nineties, when you onboarded a supplier, you just needed commercial data, name, address, tax, and banking.”

Conrad Smith (left) with DPW founders Matthias Gutzmann and Herman Knevel

Having been founded in February 2019, Graphite Systems is the premier supplier life cycle and risk management solution. The emergence of risk and due diligence has become a primary function within procurement. Vendor due diligence during the procurement process ensures users can identify and mitigate the risks present with a vendor they want to do business with during the contracting process. For Smith, he believes that this transformation has been 15 years in the making.

“I think that it was typical that a purchasing leader would point to other stakeholders and say it’s legal that’s holding this up, privacy or security. They’re the ones stopping the process from happening,” he explains. “And quite frankly, I’ll admit, those were my early thoughts. This is like a hot potato – I don’t want to be owning it. I look stupid because of the slowness I described. Think how stupid the business thinks we are when they come and say, I’m working on a project, I need this consultant here on Monday. And our best response is that it’ll take weeks or months to onboard the supplier”           

“Weeks matter, and we need to go through all this risk and due diligence. It’s really important to do the risk and due diligence, but we can’t do that at the expense of the speed of business. While business is quicker, in every measure that you look at, purchasing is going slower. It’s dumb, and the business knows that, and it means we lose credibility. It needs to happen, but we need to be very intelligent about it and not just do things the same ways we’ve always done them.”

Conrad Smith with Haas Team Principal Guenther Steiner at DPW

Procurement’s changing

Smith explains that one of the reasons he can relate to the F1 analogy is that while cars are going faster than ever, the drivers are far safer today. “Every year, we see massive accidents take place,” he tells us. “I think last year, a car that was flipping head over heels tumbling and hit the fence before slamming into the ground but the driver was okay,” he explains. “There’s this principle that is very important in almost any situation where somebody says, you can have this or you can have that. It’s a false choice.

“You have to pick speed, or you have to pick safety. If you go in with a requirement that says it has to be fast and it has to be safe, that’s the F1 example. You have to go into purchasing and say it’s a non-negotiable. It has to be fast and safe. How can we rethink the design so it can go fast and be safe? That’s really my passion, and it’s possible. It doesn’t mean it’s easy, but it’s possible. Frankly, in the case of this purchasing problem, it’s way easier than it should be. But we’re still stuck on passing paper back and forth instead of just saying, there’s my profile. Everything you need is in my Graphite profile – just like everything you need to know about me [as a professional] is in my LinkedIn.”    

The future of creation, management, and sharing of data and documents between buyers and suppliers absolutely needs to evolve from emails, spreadsheets, and PDFs into a modern social network architecture. This transformation of information sharing has already proved its speed and efficiency in most other aspects of our lives. It’s time to quit wasting time and money on supplier onboarding and embrace modern technology in this critical procurement process.

Anthony Payne, chief marketing officer of HICX, tells us why we won’t reach net zero unless we fix data collection.

As we approach COP28, large manufacturing brands are in the net zero spotlight. It’s been a year since the UN Expert Group released Integrity Matters, a report clarifying the exact metrics brands must meet if they wish to claim net zero success. Those planning to do so, account for around half of the world’s largest listed companies, according to the latest Stocktake, a number which has doubled in the last two and a half years. Despite this momentum, however, brands are slow to implement.

Now, with the conference marking another year closer to the 2050 Paris Agreement and other deadlines, it’s time to step up delivery. What this means is that the strategies behind net zero pledges need a boost.

As a supplier experience evangelist and a marketer, I view this challenge through a different lens. The way in which we engage suppliers to get their data needs significant improvement. And the way forward is to market to suppliers.

A growing conundrum

Most of today’s major brands have expensive procurement technology with which to engage suppliers, technology that has often evolved to be complex, clunky, and hard to use. As a result, supplier adoption of these tools is low, and therefore supplier engagement in projects to cut carbon and provide quality information is low. Brands have the challenge therefore of getting suppliers to adopt their expensive tech and engage in net zero efforts.

Additionally, we’re seeing that what each party expects from the brand-supplier relationship, is misaligned.

Anthony Payne, chief marketing officer of HICX

Suppliers, at the start of the relationship, are highly incentivised to work with a brand and they want to get to three things: the first purchase order, delivery of that first service or product, and payment. From that point, they just want to continue transacting and renewing business. This is their “steady state.”

A brand’s steady state, on the other hand, is more complex. In addition to transactional work, brands need a continuous flow of information around compliance, quality, performance, tax, carbon footprint and an awful lot more. Nowadays, brands also want to be efficient and automated. This brings new technology, whether it’s extensions to established technology or new specialist tools. Of course, with new tools come new processes. 

Suppliers, as we’ve discussed, primarily want to receive orders, deliver on them and be paid. But now, they are also expected to respond to requests for a whole set of information, on a continuous basis. They’re also facing a lot of change in the form of ever-complex technology landscapes and evolving processes – and this isn’t just for one brand, it’s for all their customers and it’s leading to suppliers suffering from what we sometimes call, ‘initiative fatigue.’

The need for brands to collect data is here to stay and it’s time to deal with the thorny issue of how we can get suppliers to adopt the necessary tools and engage in net zero requests.

We need suppliers

Further to this conundrum, brands face something of a basic and rather obvious truth; they need suppliers. For example, brands need suppliers to provide carbon information, ideally using the tech setups that already exist, and they need them to engage in this activity over and above “business as usual”.

Why then, don’t more brands make their suppliers’ lives easier? We’re missing a trick. Let’s flip the way in which we work with suppliers – rather than bombarding suppliers with information requests, let’s encourage them to do what we need.

We can learn from marketing

Let’s turn our attention to another department, one that has had to apply the principle of encouragement rather than force. Marketing cannot force potential customers to buy or adopt a product or service, instead, it engages customers, encouraging them to adopt or buy. This is usually by appealing to a need or emotion.

What’s obvious in the customer-facing world is customers have a choice. For example, as much as I would love to be able to require an audience to buy what we’re selling, to come to our events and read our content, I obviously can’t insist.

This is now, more than ever, the same with suppliers. Like potential customer, suppliers have a choice. The fact that brands need suppliers in order to collect net zero data, gives suppliers more agency. Suppliers now get to exercise choice through their behaviour, and it’s this choice that is absolutely central.

Now don’t get me wrong. It’s not that suppliers want to veto what brands need from them, it’s more that they’re facing too much noise in the form of new technology, information requests and the resulting processes. They’re overwhelmed.

If you want suppliers to engage in your net zero efforts, think differently. Simply piling on more pressure won’t get the best of them. Rather, let’s think more about persuasion and encouragement, and how to show them value. The marketing process involves engaging customers, building strong relationships with them and offering them value, with the purpose of capturing value in return. You’ll see three-quarters of this process is about how we appeal to customers, not the other way around.

If we apply this concept to suppliers, we get a useful way of thinking about the relationship. Why don’t we engage suppliers more, build stronger supplier relationships and create value for them? If marketing is anything to go by, the result will be that we capture value from suppliers – like getting them to complete compliance questionnaires, do forecasts, take part in quality programs and log into (and actually use) those expensive systems.

Rather than trying, in vain, to force suppliers to engage in net zero activity, let’s market to them.

Now, as net zero delivery dates creep closer, brands can empower themselves to step up by stepping into the shoes of suppliers and appealing to them. As we explore new ways of working with suppliers, who knows what solutions could be inspired?

By Anthony Payne, chief marketing officer of HICX, the supplier experience platform

Costas Xyloyiannis, CEO at HICX, discusses why the time is now for supplier experience in supply chain and procurement and its rise to the top of conversations in the space.

“I feel like the focus is shifting.”

Gone are the days of supplier experience being hidden away in the background. Today, it sits as an increasingly important target area within the procurement and supply chain space. But it hasn’t always been this way.

For Costas Xyloyiannis, CEO at HICX, he is pleased to see supplier experience’s conversation grow. “I’ve been in this space for 23 years and even if we go back three or four years ago, no one was talking about it,” he tells us. “It’s great to see a movement beginning to happen.”

Speaking with CPOstrategy at HICX Supplier Experience Live in Amsterdam, a day before DPW Amsterdam kicked off, he revealed how satisfying it was to see its evolution take place. And clearly there’s a market for it. Scores of people filled the Tobacco Theatre in Amsterdam all eager to listen to the many discussions and speakers attending the half-day event. “It is very satisfying because you see people’s minds changing in the same way that it did for the customer and employee experience,” he explains. “What you have to think about is that almost every company is also a supplier so it’s in your interest to focus on the supplier experience side. In another context, you’re also a supplier and people should understand that we’re all in it together. If you don’t think about solving it, then you’re going to have that pain yourself.”

Driving Supplier Experience

Indeed, it’s an issue that needs solving. Xyloyiannis explains that not understanding the necessity of supplier experience is a common misconception because it affects everyone in different ways. “Sales and marketing are the ones likely to understand what it means to be a supplier but they’re detached from the problem,” he says. “They are probably going into a portal and filling things in many times, it’s just not procurement doing it so that’s why they can’t make the connection. What we all need to realise is that focusing on supplier experience is in all of our interest. Ultimately, you have to think it’s just the right way of solving a problem because I create efficiency for myself and I’m also a supplier.”

HICX Supplier Experience Live in Amsterdam in October 2023

Xyloyiannis goes on to explain that if the focus is on supplier experience, an opportunity has been presented to create net efficiency – which is a massive win for all. “This benefits everyone because it’s not a zero-sum game,” he says. “If you think about business cases of other solutions, it’s we’re going to fire people and cut headcount. If I take the US government example of 150 million a year to DNB, this would’ve been a saving they would make without impacting any other functions internally. No heads would have to be cut; nothing would have to be outsourced. In a way, it’s free money for everyone when you can create net efficiency.”

Moving forward

Today’s Chief Procurement Officer has a lot on their plate. Amid navigating continuous innovation and transformation, ESG’s ever-increasing influence and battling inflation concerns all on the back of an already disruptive few years, procurement finds itself at an interesting moment. But looking ahead to 2024, supplier experience has its seat at the table and will only become a hotter topic in the years to come, according to Xyloyiannis.

“A lot of leading companies are putting huge amounts of focus on it,” he tells us. “Henkel posted on LinkedIn last year that they were driving their whole strategy around supplier experience. Then you’ve got Heineken and Unilever who are getting more involved in the space too. I think it is very much at the forefront, particularly in companies which produce goods and services. Supply chain has become very global and there’s a benefit to outsourcing and all these things, but it does make it very fragile. That’s why now it’s become important to focus on supplier experience because we have such a high dependency on one another.”

In this article, Veridion’s CEO unveils the exciting world of AI in Supplier Discovery, shares the company’s journey into data enrichment, and concludes with some behind the scenes of how the company is enhancing its Search API with natural language capabilities, paving the way to data-driven future in procurement and beyond.

In today’s world, global supply chains are facing persistent volatility and disruptions, leaving procurement companies extremely exposed to the fluctuations of markets and the associated risks from vendors. This unstable environment highlights the necessity of innovative approaches in procurement management, particularly the adoption of AI-powered intelligent data.

Deloitte’s 2023 Global Chief Procurement Survey reports that 89% of companies worldwide have been negatively impacted by inflation-related cost risks in the last year, with 79% also facing substantial supply shortages. These figures underscore the critical need for innovative strategies and technologies to address these challenges in procurement.

Embracing AI for supplier discovery: A game-changer in procurement

Perspectives from Veridion’s CEO, Florin Tufan

As procurement firms aims to master the complexities of the evolving supply chain landscape, artificial intelligence (AI) emerges as a transformative solution that promises significant benefits, especially in enhancing supplier discovery.

Veridion, a company at the forefront of data enrichment and innovation, is leveraging AI to streamline data-driven growth across many areas within industries. Florin Tufan, Veridion’s CEO, offers candid perspectives on the opportunities and challenges presented by AI in procurement, with a special focus on its capacity to refine the supplier discovery procedure.

Tufan talks about how leveraging AI for supplier discovery is transforming procurement from a process constrained by limited information and relationships to one that is dynamic, informed, and resilient. AI-enabled data allows companies to comprehensively understand the supplier landscape, enabling them to analyse and evaluate a vast array of suppliers quickly and efficiently.

“We come from a world where it wasn’t possible to learn everything about the entire universe. If you had three suppliers for one highly important thing, you’d much rather spend a lot of time strengthening that relationship and putting better protection in place. There was no easy way to ask about others and question whether you were working with the right ones while finding out if you had enough resiliency. No, you want to work with the best ones so that you’re covered and get on with the work no matter what.”

However, Tufan also highlighted that while AI has the potential to significantly cut down the time companies spend searching for new suppliers, it’s not a magic wand that instantly fixes all procurement issues. There are still things to be fixed in the supplier discovery process.

CPOstrategy speaking with Veridion CEO Florin Tufan at DPW Amsterdam

Veridion’s approach:  Addressing the need for a more proactive and comprehensive approach in supplier risk management

Tufan’s insights suggest a pressing need for a more proactive and comprehensive approach in supplier risk management.

Tufan pointed out a critical shortfall in the procurement strategies of many large companies—they lacked sufficient redundancy in their supply chains. When the pandemic struck, these companies scrambled to identify and connect with the best possible suppliers in various regions. However, the process was fraught with inefficiencies. “The discovery phase alone took weeks, and that was before even determining if those suppliers were a suitable match. By the time companies could establish redundancy, it could be two years later, and that’s simply too late,” Tufan explained.

He observed that the focus in procurement has traditionally been on what is known about the top suppliers based on past interactions, often neglecting the broader, more holistic view of a supplier’s status and potential risks. “There are numerous instances where companies face downturns or disruptions due to economic or political factors, and their clients often find out too late,” Tufan noted.

Who is Veridion? The company’s journey to data enrichment in procurement

Veridion, a Romania-based company, operates in the segment of source-of-truth business data, providing comprehensive and up-to-date insights on private companies. The company’s solutions are addressing particularly procurement, insurance, and market intelligence data challenges and are powered by AI and machine learning capabilities. This technology enables Veridion to extract maximum value from data, enabling efficiency and innovation for their customers.

One of Veridion’s earliest projects in procurement, which significantly contributed to its exploration of data enrichment solutions, involved collaborating with semiconductor companies seeking to diversify from China and US manufacturers planning to onshore to South America. This experience gave CEO Florin Tufan and his team deep insights into the complex challenges of global supply chain relocation. Tufan described this journey as both humbling and enlightening, particularly in understanding the significant impact of supply chain shifts on everyday products.

The company’s approach to addressing these challenges has been methodical and innovative. By leveraging AI and machine learning, they have developed more efficient ways to harness data, enabling businesses to make informed decisions in rapidly changing environments. This approach is not just about providing data but enriching it to offer meaningful, actionable insights.

Veridion has become a key player in transforming how companies approach procurement and supply chain management. By focusing on data enrichment and leveraging advanced technologies, they have positioned themselves at the forefront of this critical industry, offering solutions that are as dynamic as the markets they serve.

This “incredible journey”, as described by Tufan, exceeds the goal of business expansion. It’s about comprehending and effectively responding to the complex challenging of global with real-time, accurate data.

Looking forward: Veridion’s CEO perspectives on latest technology innovations

“I’m 99% percent excited! At the core, we’re an AI company.”

Florin Tufan’s vision for the latest cutting-edge technologies and innovations such as generative AI is one of optimism and excitement. He sees it not just as a technological leap, but as a tool that will become integral to daily life and business operations, enhancing efficiency and connectivity across the globe.

When asked what big news is coming soon, Florin announced an upcoming enhancement to their Search API, set to launch this year. This significant update introduces semantic search capabilities, leveraging natural language processing to enable more intuitive, human-like search experiences. With this advancement, users will be able to conduct searches that closely align with their specific needs and queries.

Veridion’s Search API is modernising multiple procurement processes from supplier search to enrichment, setting a new standard of excellence with first-class vendor data. By incorporating advanced AI capabilities, this intelligent search engine has made significant strides in deduplication, cleansing, and enriching master data, addressing a critical challenge many companies face. Organisations often struggle to understand the full potential of their existing supplier networks for sourcing opportunities. Veridion’s data-centric approach ensures that companies can now leverage their current supplier base more effectively or find new ones, uncovering hidden opportunities and driving efficiency in procurement strategies.

It looks like Veridion is reshaping the procurement landscape, turning complexity into clarity and offering an unparalleled user experience. The company is marking a paradigm shift towards a more efficient, data-driven future in procurement and beyond.

At DPW Amsterdam 2023, Alan Holland, CEO of Keelvar, tells us about the acceleration of digital transformation in procurement and what it means for the next generation of the workforce.

Keelvar’s mission is simple – to help procurement teams globally to scale sourcing excellence.

Keelvar is powered by unique artificial intelligence, designed by category experts, to deliver significant savings and operational improvements for global enterprises such as the likes of Siemens, Coca-Cola, Samsung, Novartis and more. The company was founded in Europe’s largest AI research lab by a team of computer scientists and engineers specialising in AI, optimisation and game theory applied to strategic sourcing. Keelvar has raised $42 million to date in funding to accelerate product development and global growth.

The company is led by Alan Holland who has served as CEO since the company’s foundation in September 2012. Indeed, in his first year, he led the organisation to win the Cork Company of the Year in the small company category, and the firm has more recently been awarded a Gartner Cool vendor.

Having previously served as a lecturer in artificial intelligence in University College Cork’s Computer Science Department, Holland specialised in Optimisation, Game Theory and Algorithmic Mechanism Design. Such experience has helped give Keelvar an edge in terms of innovating with offerings that exceed competitors’ technical capabilities. This enables Keelvar to define an entirely new category of the solution, putting Keelvar in an ideal position to lead this new category that Keelvar has called autonomous sourcing.

CPOstrategy sitting down with Alan Holland, CEO at Keelvar, at DPW Amsterdam 2023

Evolution at scale

Procurement is in a state of flux. The industry is experiencing unprecedented amounts of innovation and change in a way which has ripped up the playbook of what went before it. However, Holland believes it is only in the past half decade or so where transformation has really started to take place. “If we look at the last 10 years, the first five of those procurement was very slow to change,” he discusses. “What we saw were technology landscapes dominated by a small number of large suites vendors who had acquired many companies, but most enterprises were satisfied in buying all the modules they would need to run their procurement function from one vendor. Rarely was it the case that the various modules did what their customers needed. Some of them might have worked in some ways, but others just didn’t serve the need at all.

“In the second five years of our being, things started to change. We did start to notice an increasing acceptance that best-of-breed was the way forward and that enterprises needed to accept that if they were to get the buy-in from their stakeholders, then they needed to work with a combination of best-of-breed vendors and piece together their specific technologies landscape rather than just buying it in bulk from one. I would say it was gradual at first and then suddenly, but it’s only been suddenly in the last couple of years. The pandemic likely accelerated some of that change.”

Trust first

Holland explains that in recent years, large multinationals are placing an increasingly important level of trust in smaller, best-of-breed vendors such as Keelvar to allow them to run their sourcing events and meet niche demands. He believes that in the past it simply wouldn’t have happened and strives to prove that faith right. “I suppose that’s a process where enterprises are gradually increasing their trust in what are smaller vendors, but these smaller vendors are becoming bigger because we’re serving hundreds of large enterprises,” he explains. “We’re gaining in strength and momentum and the barriers to adopting best-of-breed at scale are lowering and the market willingness to jump those barriers is increasing. That momentum is just gathering more and more force.”

Alan Holland, CEO at Keelvar

Using tech as an enabler for talent

Procurement’s talent shortage and the ways to bridge has been a hot topic for years. Whoever you speak to within the industry, everyone will have a different viewpoint. Some say procurement needs a rebrand, others say it’s a lack of education while others think technology could hold the key. For Holland, he believes it’s about making tech work and freeing up people in procurement’s time to focus on more value-add work that will help solve strategic goals.

“What is attracting graduates to procurement now is working with intelligent systems that are powered by AI and that allow them to be strategic and not working on routine or tactical tasks because machines are taking over the data-intensive areas of processing these workflows,” he tells us. “Our second product, which we launched about three years ago is autonomous sourcing. These are sourcing bots that are intelligent software agents that you can now design, build, and operate your own sourcing bots. If you’re somebody who understands best practices in sourcing, you can now build automated workflows so that instead of having to run sourcing events one by one and get through 15 or 20 a year, now you could design bots that are running hundreds of these events per annum.”

Procurement’s bright future

While not only opening up people’s day, using technology as an enabler to make life easier also acts as a way of encouraging the next generation into the industry. “What you’re doing is freeing up many other people’s time to spend on relationship management or innovation discovery and talking to the market, finding out what new suppliers you should be dealing with, visiting suppliers to check things are in order,” he says. “And that is the type of work that people enjoy doing. Machines are taking more of the data-intensive work off their tables, and machines are not good at work related to establishing trust. Machines have no empathy, but people do. The soft skills in procurement are becoming ever more important because the machines are taking over the harder skills. That is leading to a transformation in the type of work that procurement is doing.

“It’s also leading to a transformation in the interest levels that graduates emerging from universities have for this sphere. When it used to be that they were first introduced to a legacy system and told that this is what they needed to use to do their job. Young workers are coming with higher expectations about software and rightfully so, and enterprises are reacting to the need to satisfy the technology requirements of younger recruits now, which is a very good thing. It’s accelerating that digital transformation that we are seeing.”

The next step

Looking ahead, Holland is full of positivity for the future and believes decision-making in procurement is easier than it’s ever been. He believes tomorrow is “very bright” as procurement enters an era with intelligent software agents which can automate workflows and make the human workday more efficient. “There’s a whole new range of possibilities where creative and thoughtful planning will provide a competitive advantage for organisations and procurement can be far more influential in how successful their companies can be. It’s a game-changer.”

At DPW Amsterdam 2023, Brandon Card, Co-Founder and CEO at Terzo, discusses the rise of his organisation amid the COVID-19 pandemic and how it used the disruption to its advantage.

Terzo means third in Italian.

With the two founders having Italian heritage, they chose to describe what they set out to build – a platform that brings third parties together.

Terzo uses powerful AI technology to extract, analyse, and visualise its customer’s contract data. Terzo’s AI data extraction capabilities also reach beyond contracts and can solve an organisation’s document problems, from invoices to POs and more. Its platform was designed on the foundation of contract intelligence, providing business teams the necessary data to improve productivity, optimise spend, reduce costs, and manage risk and governance across their entire supplier ecosystem. Terzo is the first solution to provide critical data and terms to both legal and business teams to make decisions together.

Terzo’s journey

Brandon Card is the Co-Founder and CEO at Terzo. His company’s journey’s start was an interesting one, having been founded days before the onset of the COVID-19 pandemic and the lockdowns that then ensued. But, reflecting on the disruptive nature of the situation, Card believes it actually helped get Terzo up and running quicker. “It just accelerated our timeline because we wanted to build fast,” he reveals. “When we put the team together, we had this concept that we wanted to get the product out as fast as possible. We knew that with Covid happening there was going to be a huge shift in how people were working. People were going to need to buy new solutions faster and it’s going to be harder to control spending. We knew procurement was going to have a host of challenges across the supply chain with this interruption with Covid. Our team on the engineering side believed we need to build faster.”

This led to Terzo’s team on the engineering side of the house to work diligently throughout the rest of 2020 and into 2021 on building code and new releases with the vision of getting the Terzo product into the industry quicker. “We thought we might be able to help procurement given the challenges they have now with all of these new needs that the business is going to bring,” he says. “We probably built the product about 50% faster just because there were no distractions so there’s pros and cons when everything happens in life. Our team really worked well together and they buckled down and they took that time to focus on Terzo. It’s something I’m very proud of this team for doing that.”

Brandon Card speaks with CPOstrategy at DPW Amsterdam 2023

Developing relationships

A big part of what Terzo does revolves around strengthening relationships by uniting teams to unlock insights so organisations can make smarter decisions and maximise value from suppliers, customers and partners. Card believes this mantra holds the key to long-term success in procurement.

“It’s critical for us because when we think about whether we’re doing spend analytics or contract intelligence, it’s all about understanding the relationship with these different entities you’re working with,” discusses Card. “We’re not there yet but my big vision in the future is to build an enterprise relationship intelligence platform to understand every single business that you’re working with, whether it’s a customer, a supplier or a partner. The truth with these big organisations, a lot of their suppliers are also partners or customers. These relationships are very complex and they’re very critical to innovation.

“If you’re doing anything in the cloud right now, if you’re doing anything with AI or even autonomous driving, you need partners to get this done. You can’t build it in-house. And years ago, people would build in-house. When we were young growing up in the nineties, everyone had to build their own data centres and build their own software. We’re in a world now where you can go and turn things on online in a few minutes, and that’s where we want to be so you can push product out faster, competitive advantage, and I think these relationships are critical to procurement having a competitive advantage and driving value for the whole business.”

Procurement’s place

In today’s world, procurement is in the driving seat. The function isn’t siloed anymore, stuck in a back-office room and out of the way of everyone else. Despite such significant innovation, there is sometimes a perception that procurement is still boring. For Card, he believes one of procurement’s biggest challenges is changing that age-hold mentality of procurement within a c-suite.

“It’s about educating the CEO or the Chief Financial Officer (CFO) of large organisations just how critical procurement is. A lot of them just don’t understand,” he tells us. “That’s the challenge we have, and that’s something we want to change. In the future, the CFO is going to treat the head of sales the same they treat the CPO. Right now, the chief revenue officer gets special treatment in every organisation. If you run sales, you’re treated differently because you bring in revenue. If you’re procurement, you’re lucky if you’re at the table. But I do see that changing.”

While Card believes this shift is already beginning to happen with younger CFOs, change such as this doesn’t happen overnight. “By doing this, you’re going to have a really balanced organisation and reduce risk while optimising their costs,” he discusses. “Ultimately, they’re going to be more efficient, and the teams are going to be working a lot better together. There’s going to be a better culture when leadership buys in because then procurement feels valued. They work harder, and that vibe carries throughout the organisation. That’s something that we want to help push for procurement but we know it’s going to take time.”

At DPW Amsterdam 2023, Daniel Barnes, Community Manager at Gatekeeper, discusses the evolution of the procurement function and the influence tools such as generative AI are having in the space.

“It might sound harsh, but people just won’t have a job if they don’t change.”

For Daniel Barnes, Community Manager at Gatekeeper, his thoughts are clear. Technology is here and it’ll only get more advanced.

Barnes has been the Community Manager at Gatekeeper since June 2022. The company he works for is a next-generation Vendor & Contract Lifecycle Management (VCLM) platform that was born in the cloud and works on any device. Gatekeeper has a strong focus on collaboration, clear actionable data, obligation and compliance tracking, email alerts and most of all ease of use. The firm has a ‘zero training’ mantra driving a fanatical focus on usability that results in an application internal stakeholders and suppliers can use effortlessly.

The Gatekeeper Platform provides a suite of vendor management, contract management, kanban workflow, collaboration and reporting features. Customers can extend the functionality of Gatekeeper with additional modules to meet their required use cases, as well as integrating with over 220 third-party solutions.

Technology potential

Since joining the company, a key consideration for both Barnes and Gatekeeper has been the influence of generative AI. However, Barnes explains that while the potential of the technology is exciting, they are being strategic about how to leverage AI.

“We’re probably taking it a little bit more of a slower approach,” he tells us. “We have a contract summary function at the moment which means for any contract we summarise it so that anyone in the business can get a really quick understanding of that contract. We’re also exploring whether we’re going to bring in a Gatekeeper bot that allows us to get insights analysis in a very conversational manner. One thing we really believe is that contract and vendors aren’t just for procurement or legal. Everyone in the business has to contribute to make these successful. A lot of the issues, data and information behind these are legally complex. Procurement language is difficult when you’re talking about RFPs or you’re talking about risk. Someone in the business doesn’t care about that, they just want to get whatever they have brought, they want the service, they want it performed, they want it on time and they want a good relationship. We’re trying to figure out how to use AI like that.”

CPOstrategy speaking with Daniel Barnes at DPW Amsterdam 2023

The rise of Gen AI

Generative AI isn’t exactly new. In fact, it actually dates back to the 1960s. Among the first functioning examples was the ELIZA chatbot which was created in 1961 by British scientist Joseph Weizenbaum. It was the first talking computer program that could communicate with a human through natural language. But, given the introduction of a far more advanced model – ChatGPT – gen AI is the name on not only procurement’s lips but the wider world too. Barnes questions what you need to make AI successful at implementation.

“You get data and most procurement and legal teams have an issue with data because they don’t have it in one place,” he explains. “We fundamentally believe in this three-pillar approach. It’s to restore visibility and to have all your vendors and their contracts in one place. From there, you take control of that by digitalising all of your processes. Once they’re digital, you can track and automate them from various data points that you have in your vendor and contract records. That allows you to safeguard compliance, whether that’s regulatory, legislative or by contractual obligations. They’re all different forms of compliance that you need to track. Most teams are really struggling just with those. When we talk about gen AI, the reality is most teams are still so far away from even being able to realise those benefits. Today, gen AI looks powerful once you have the pillars in place and I’m really excited about its future.”

Procurement’s evolution

Indeed, procurement stands at a unique moment. With some in the space used to operating a certain way through legacy systems and others embracing a digital transformation and the technological innovation that brings with it, Barnes recognises that people who are reluctant to change could be left behind. “I think there has to be a willingness to change,” he tells us. “I’ve been talking about change in procurement since 2019, and I would say 80% of people who are engaged are hesitant and don’t want to change. That’s a really big concern. But my biggest worry is they don’t want to know in the first place. One of my fears is you’ve got so many solutions that genuinely can eliminate work in procurement teams. I’m worried for those people who don’t want to change because what are they doing when their work’s automated?”

The future

Barnes, who also hosts the World of Procurement podcast and YouTube channel, believes there is a current cultural divide in procurement and the industry is at a make-or-break moment. He affirms procurement will go “one of two ways”.

“You’ve got people who are stuck in the past that are archaic with what they’re doing. Then there’s those who are really pushing the profession forward,” he explains. “I see it as a moment in time where procurement kind of goes one in two ways. It’s extinct in terms of how it used to be. There’s solutions that I’ve seen which have automated workflows and are doing the work that traditional procurement people used to do. We can pull people along, but there has to be an initial willingness to change too or it’s not going to happen. That’s why I think it’s great to see people that are showing that willingness. They may not have the answers, but they want to learn.”

Michael van Keulen, CPO at Coupa, discusses the emergence of gen AI and whether procurement is in a golden era amid technology transformation.

Generative AI, or gen AI for short, is one of the hottest topics in procurement today.

Indeed, the introduction of ChatGPT has only accelerated its prominence into wider consumption. Gen AI allows its users to quickly generate new content based on inputs. These models could include text, images, sounds, animation, 3D models or other types of data. One of its biggest draws is the ability to understand different learning approaches and allows organisations to move quickly to leverage large quantities of data.

But despite obvious benefits such as time and cost, Michael van Keulen, Chief Procurement Officer at Coupa, stresses caution should be used particularly when it comes to valuable tasks. “If you look at ChatGPT, it’s fine if you’re looking for recommendations for something low-risk. I need something for my wife’s birthday next week, you input three things that she loves and ask it to help. It’s great,” he tells us. “But it comes from data sources on the web that aren’t always governed, controlled or trustworthy. It’s whatever is out there. What about the algorithms that come with ChatGPT? I don’t know what’s influencing the search criteria. On Google, if you pay you are at the top of the search bar. But I don’t know what ChatGPT is governed by.”

Van Keulen is a passionate and seasoned procurement evangelist with a comprehensive track record of driving value through business transformation at global companies. Since March 2020, van Keulen has been the Chief Procurement Officer at Coupa, a leader in cloud-based business spend management software, where he is responsible for driving best-in-class procurement practices across the company, supporting business development and being a source for peers looking to elevate and transform procurement. Van Keulen is especially passionate about building teams, driving value, organisational transformation, CSR, and diversity and inclusion.

CPOstrategy speaks with Michael van Keulen, CPO at Coupa, at DPW Amsterdam

The rise of AI

In the case of Coupa, the firm has been conducting its community.ai platform for the past decade which has been at the heart of the company’s strategy. Community.ai analyses real-time spend data, applies AI to compare company’s metrics against others and offers ways for organisations to be more efficient, profitable and sustainable. Van Keulen believes that the biggest difference between what Coupa offers and what gen AI provides is the trust factor.

“At Coupa, we measure information based on real spend, data and suppliers that are doing real business together – the internet isn’t doing that,” he discusses. “We’ve got nearly $5 trillion of spend under management from real transactions and real suppliers. That number continues to grow as customers and suppliers join the Coupa community. Pretty much all of our customers have trusted us with access to their sensitive data which we anonymize and then share back with the entire Community.  As a member of the community I know I can trust it because it comes from a source that is reliable, sanitised, relevant and well-governed. As well, we have certain standards and algorithms that we built-in all based on outcomes that our customers are looking to receive.”

Van Keulen believes there is a misconception in procurement that ready-made data sets are out there that are capable of meeting customer requirements. “The truth is most tech companies out there today don’t have access to customer data because their customers won’t let that happen,” he explains. “But at Coupa, our customers have already given us access to their data. This means we now have a real, reliable, accessible, governed and structured data set that has been anonymized.  When we then apply AI, you actually get prescriptions that are meaningful and relevant to procurement. I think the misconception is that this type of data set is easily found, but it’s not, we’ve been building this for over 10 years. There’s no other company out there that has the same level of spend data as Coupa.

“It’s the same as Google Maps. The only way that Google Maps works is because everybody uses it.  It allows me to get from A to B to C to D, back to A in the quickest time and with the least amount of disruption. The only way that that works is because we’re all using it. And I look at AI no differently in spend as I do with AI in my private life.”

Michael van Keulen, CPO at Coupa

Bridging the talent gap via AI

The need for fresh talent in procurement has never been so important. Procurement, like many industries, is lacking a defined path to welcome the next generation of talent, a feeling which has only been amplified on the back of COVID-19. This means the need to find ways to meet that shortage head-on, whether that’s through education, an industry rebrand or via AI. In van Keulen’s mind, he believes developing the correct tech landscape could hold the key.

“I’ve actually said this for a while,” he explains. “For too long, we brought in super smart people and then we would let them work in some antiquated old-school ERP, in Excel and run RFPs in emails. Nobody wants that, especially the current workforce because they’re used to and have been raised with Amazon, they all have TikTok accounts and are used to all these other e-commerce websites which have very seamless systems. If they come into the workforce and I let them work in some outdated ERP environment with email as the means of communication, that talent is either going to leave procurement because they think it’s boring or they’re just going to leave the overall organisation and work somewhere else. We don’t want that to happen, so you need to have the right tech landscape in place.”

Once the strategy is formed, van Keulen explains that is where the fun of procurement begins. “Then procurement’s the coolest function in the world and we will close the talent gap,” he says. “The talent is out there, they’re just not coming to procurement. They’ll go to finance, marketing, legal or IT instead. If you execute procurement properly, it’s the best because you’re right at the heart of everything. But you need the right people, operating model and operationalisation of your procurement process as well as the right technology. You need all of those elements or it’s never going to work.”

The greatest time in procurement?

Given the disruptive nature of global challenges and its ripple effect on procurement and the supply chain over the past few years, organisations are increasingly waking up to the importance of developing greater strategic relationships with suppliers. COVID-19, inflation issues, natural disasters and wars have meant today’s CPOs have been forced to firefight and think more strategically than ever before. Van Keulen recognises the turbulent nature of recent years and believes major transformation is already underway in procurement. “Historically most executives in any company would pay very little attention to their supply chain,” he reveals. “Due to recent events, companies are realising that they need to be closer to their suppliers. Perhaps in the past, the CEO would only spend a small fraction of their time with suppliers but those metrics are changing rapidly.”

As the ground lies in procurement, some sections of the industry now believe it is the industry’s greatest era given the level of possibilities. Widely considered a back-office function tucked in a corner and working in a silo, procurement is a totally different beast in today’s world. For van Keulen, he likes the variety.

“I wear so many different hats every single day,” he explains. “I always say sometimes I’m an accountant, others I’m an environmentalist. Sometimes I’m the treasurer or a finance person, but I’m also sometimes a psychiatrist. Sometimes I’m a doctor, a nurse, a lawyer, a judge, an environmentalist and yes even a wizard. I never know what my day looks like. I can plan it, but something may happen where everything goes out the window. Procurement will always be going through some type of disruption and it’s about how you drive the competitive edge and how you drive value despite that. Procurement really is the best gig in the world and it’s great that more people have started to see that now too.”

Giorgio Sarno, Senior Data Scientist at Stratio, on how AI and ML can unlock data from both internal combustion and electric vehicles to reduce their carbon footprint and hasten the transition to zero-emission transport.

A single bus journey pollutes 82% less than the same journey by car.

For this reason, a small decision like taking public transport instead of driving is a big step towards lowering emissions. If we then consider the significant reduction in greenhouse gas emissions that transport operators can achieve by implementing eco-driving solutions or by transitioning to electric vehicles, choosing the bus over personal vehicles becomes an even more sustainable choice. Transport operators are already moving in the right direction in terms of minimising the environmental impact of their services, and they’re doing so by leveraging vehicle data.  

The bus is essentially a black box, where vehicle technical data is locked and remains largely inaccessible to transport operators. However, by automating the collection and analysis of this data, fleet managers can rely on artificial intelligence (AI) and machine learning (ML) algorithms to implement a predictive maintenance approach. This means that vehicle sensor data can be turned into actionable insights to help reduce the carbon footprint of internal combustion engine (ICE) buses, hasten the transition to zero-emission transport, and minimise breakdowns and downtime, resulting in a more reliable public transport service.

Car vs Bus

With cars representing 72% of EU road transport emissions, it’s key to make public transport the preferred form of travel. However, in order to create a push towards shared mobility and leverage the environmental benefits of public transport, operators and public transport agencies need to ensure it can live up to the promise of reliability, getting passengers where they need to be, when they need to be there. To guarantee reliability, it is necessary to turn our attention back to the most crucial component of public transport: the vehicle. 

AI predictive maintenance is like a digital stethoscope for buses, enabling operators to tune in to the state of health of their vehicles’ critical systems and components. By collecting the data from built-in vehicle sensors and analysing the patterns that indicate the condition of components, maintenance managers can leverage real-time, actionable insights to inform their decisions. AI can identify tricky faults that humans could overlook – tracing leaks in the compressed air system or the wear and tear of brake pads, for example. 

With such a system in place, bus operators can depend on real-time monitoring to assess whether their vehicles’ brake pads need to be replaced, meaning that parts can be ordered in bulk and that maintenance can be scheduled during off-peak periods to avoid service disruptions. Maintenance and repairs can be scheduled automatically and more accurately, contributing to better fleet utilisation and cost savings. More importantly, by preventing equipment failure, vehicle breakdowns can be pre-empted to reduce downtime and protect both revenue and customer experience.

Reduced resource consumption & enhanced asset lifecycle management

The data on equipment behaviour, failure modes, and degradation patterns can also inform asset management strategies, including engineering decisions related to repair, replacement, or refurbishment of components and systems. By extending the useful life of assets and maximising their performance, operators can minimise waste generation, reduce the need for new equipment production, and lower the environmental impact associated with resource extraction, manufacturing, and disposal. 

Moreover, early identification of sub-optimal operating conditions enables engineers to fine-tune equipment settings, adjust operational parameters or identify faulty components, reducing energy consumption and resource waste. By optimising resource utilisation, operators can function at higher energy efficiency, reduce carbon emissions, and enhance the overall sustainability of their operations. 

Curbing ICE emissions

Predictive maintenance solutions can also be used to inform eco-driving strategies to further reduce the carbon footprint of ICE bus road usage. By analysing driver patterns, optimal RPM and idling time, operators can implement strategies to lower fuel consumption and put in place a range of continuous improvement processes. Arriva Czech Republic has recorded a saving of 942 litres of diesel per vehicle per year using this approach. This equates to 2.6 tons of carbon dioxide emissions avoided per vehicle, per year. 

Speeding the transition to EVs

For transport operators, new EV technology poses challenges as well as opportunities. It comes with new breakdown patterns and failure modes and requires a new knowledge-set to minimise life cycle costs and optimise battery maintenance and route management. Additionally, the greater up front, maintenance and infrastructure costs of the transition mean that operators must have a detailed strategy in place to minimise the impact of the shift on their bottom line.

Just as with their ICE counterparts, by combining the granular collection of vehicle data and large-scale data processing with autonomous AI systems, public transport operators can gain valuable insights from the new EV data they have access to, creating a continuous feedback loop that constantly increases the ways in which data can be leveraged. The performance, faults, and range of EVs can be analysed and used to inform the planning of smooth, efficient, and profitable operations. 

Predictive battery analytics for example can provide an accurate, comprehensive view of the battery health evolution of an EV bus, allowing for effective route planning and charging requirements, as well as usage optimisation metrics to extend the lifespan of the vehicles. This is crucial given the high proportion of the overall cost of an electric bus that the battery represents. By leveraging State of Charge (SoC) and Depth of Discharge (DoD) data, fleet managers can understand if the operation profile can be changed to maximise battery life, reducing the total cost of ownership of electric buses. This type of analysis is fundamental for an operationally successful and profitable EV fleet deployment. 

The future of AI and ML for public transport

By onboarding next-gen AI and ML predictive maintenance technology, the future of sustainable, affordable, and highly efficient public transport is promising. The actionable insights on potential component failures, fuel consumption and operational efficiency offer full control over the health of both ICE and electric buses. This can be harnessed to enhance reliability, encourage passengers to move away from private car usage, curb emissions and wastage through inefficient driving and maintenance strategies, and pave the way for a smoother and faster transition to EV usage. 

AI is constantly learning, picking up data about different categories of vehicle and enabling fine tuning for improved operations. It is a system that will keep on growing with huge benefits and impact, contributing to the goals of sustainable and reliable public transport. With some operators already implementing predictive maintenance, the approach will become more ubiquitous in 2023 and beyond, representing the new frontier when it comes to smoother, more efficient and environmentally friendly operations. 

By Giorgio Sarno

Matthias Gutzmann, Founder of DPW Amsterdam, discusses the conference’s rise to prominence, reflects on challenges and reveals future plans.

“Our challenge is always around asking ourselves how can we make DPW Amsterdam better every year?” 

It’s fair to say Matthias Gutzmann, Founder and CEO of DPW Amsterdam, doesn’t believe in standing still and resting on his laurels. 

​​Since launching DPW in 2019, the conference has grown from strength to strength and is now widely regarded as the biggest and most influential tech event in procurement and supply chain on the planet. And despite welcoming over 1,250 procurement professionals with more than 2,500 virtual attendees watching along at home in its 2023 edition in October, Gutzmann is eyeing continuous improvement. 

​​In 2018, Gutzmann was researching procurement conferences to showcase his then-employer, Vizibl, a startup. He was frustrated by the options. The existing conferences were prohibitively expensive for a limited startup budget, lacked investors, and failed to attract an audience of startup businesses, which is critical for the development of digital capabilities and to drive innovation. Identifying this gap in the market, Gutzmann left his job in New York, moved into his parents’ house in Germany, and invested his entire personal savings to launch DPW Amsterdam.​​     ​​ 

“As soon as one conference finishes, we’re already thinking about the next one,” he explains. “We all sit down and think about how we can improve the experience and what new technologies we can bring in next time. It really is a 12-month process to bring it all together.”  

Bringing DPW to life

Held at the former stock exchange building, the Beurs van Berlage in Amsterdam, this year’s theme was “Make Tech Work” which focused on turning digital aspirations into a reality. There was a deep dive into discussions surrounding AI and machine learning in procurement, digital transformation strategies, sustainable procurement, supplier collaboration, risk management as well as innovation and disruption. The two-day event was centred on ensuring the vision of digital procurement happens now and how organisations can be challenged to deliver results instantly instead of only concepts and theories. 

Despite significant success, Gutzmann maintains that there are some difficult aspects to get right in order to make the magic happen on the day. DPW ​Amsterdam ​builds client booths themselves instead of allowing sponsors to bring them themselves. “That’s a massive undertaking to get this done because we need all the design elements from the sponsors,” he says. “It’s that quality standard but we know it comes with more work instead of just allowing people to bring their own stuff. We have Simone Heeremans, Head of Production, who is amazing and oversees logistics such as catering to the suppliers. 

​​“There is also the sales part of the conference which is selling the tickets and sponsorships. We have created this pull for the conference that we didn’t need to build a proper sales team around it. That said, there’s always a stress factor to get the numbers we want every year and grow it. So far, so good.”​     ​​  

​The uniqueness of the conference, the problem it solves, and the timing of the launch in 2019 were the basis for today’s success and fast growth.  
 
WHAT MAKES DPW AMSTERDAM SO UNIQUE?  

​Matthias Gutzmann:​​  

​​​1. THE AUDIENCE​​ 

​​​Traditional procurement conferences only attract procurement professionals. But, DPW Amsterdam recognised the need for breaking this silo and for more collaboration in order to harness the potential of new digital technology, targeting an audience of procurement professionals, business leaders, suppliers, startups, data scientists, investors, and young talents No other procurement conference brings this variety of people together.​​ 

​​​​ 

​​​2. WORLD’S BIGGEST STAGE FOR PROCUREMENT STARTUPS​​ 

​​​DPW Amsterdam is built to bring startups into the procurement ecosystem. In 2023, we displayed over 50 startups, giving delegates a unique insight into procurement innovation.​​ 

​​​​​ 

​​​3. ATTENDEE EXPERIENCE 
I always thought procurement events felt boring – and I felt lost in a sea of guys wearing suits and ties. So, at DPW, our goal is to make procurement cool and sexy. Not an easy feat, I know. Our dress code at DPW Amsterdam is strictly “startup casual.” You’ll see t-shirts, hoodies, and sneakers from attendees, exhibitors, sponsors, and speakers alike. This dress code embodies our entrepreneurial spirit. But it also breaks down barriers– and levels the playing field between big-shot enterprise CPOs and 20-something startup founders. 

​​​Better than ever

A large focus for Gutzmann and his team has been tweaking the formula of the virtual experience. Due to the impact of COVID-19, DPW was forced to cancel its 2020 conference before offering a virtual-only event in 2021. The experience, although different, was praised for its ‘TV feel’ and still created a buzz for those watching at home. However, with day-to-day life returning to a new normal, DPW Amsterdam reverted to an in-person conference in 2022 but offered a hybrid solution for those keen to watch the action from afar. “There wasn’t really anything special about it,” he discusses. “If you run an eight-hour live stream from only one stage, you aren’t likely to keep people watching. That’s why this year we asked ourselves: what can we do to increase the virtual experience? So we did just that.” 

This year, Gutzmann and his team set about creating a pop-up broadcast studio to generate a television feel with live coverage from podcaster and host of Let’s Talk Supply Chain Sarah Barnes-Humphrey, as well as a reporter conducting interviews on the expo floor. “Now we’ve got cameras moving around which helps bring the whole conference to life,” explains Gutzmann. “We’ve really ramped it up this year and turned it into a large production.” 

Up until this point, DPW has run solely in Amsterdam which Gutzmann believes has acted as his organisation’s competitive advantage. It is this approach that has enabled DPW to allow it to reach the level it is today. Hosted at the Beurs van Berlage, Gutzmann is full of admiration for the historic building which was built in 1896. According to Gutzmann, he believes it is what sets DPW​ Amsterdam​ apart from other conferences operating in the space.

“We love it here, it’s unique and I feel it’s a key part of the experience,” he says. “But we’re becoming bigger and we might need to build something completely from scratch. Every year, we think about how we can do things differently. I don’t know if bigger is necessarily better, it’s also about the quality of the solutions we bring in. My goal is to map out the entire end-to-end tech ecosystem and bring in that diversity of solutions.” 

Bright future

Procurement, like many industries, is suffering from a talent shortage. The need to find ways to plug that gap, whether that’s through education, industry rebrand or AI, has never been so crucial. With an eye on the future, Gutzmann believes in procurement’s workforce of tomorrow and gave out around 100 free student passes this year. “When we talk to CPOs everyone’s talking about talent shortages so we understand the need to bring in that next generation and show them that procurement could be the way forward for them,” he says. “I think in the context of digital, who better to do digital than the next generation? They are more tech savvy so we need them and it’s a great opportunity for both sides because they can meet CPOs and it’s also becoming a place for recruitment too. We are doubling down on young talent 100% and it’s a win-win.” 

Gutzmann is candid about the future of DPW ​Amsterdam ​and is always open to feedback while striving for continuous improvement. He believes in the value of innovation and shaking things up in order to best meet attendee’s needs. “I always think we can always bring in new speakers, but this year’s agenda was incredibly strong,” he discusses. “It’s really about listening to the people. Ultimately how can we be more relevant around the solutions as well here? How can we better matchmake people? I was wondering about how we can work pre-event with some of the corporate attendees that are coming to the conference around mapping out their challenges to then have more meaningful matchmaking at the event because it’s an innovation showcase here as well. There’s more value to be had but we know that also comes with more work. There’s always more we can think about.” 

With an unprecedented amount of technology at procurement’s fingertips today, Gutzmann is in no uncertain terms about what the next chapter of the space holds. “It’s the best time to be in procurement,” he explains. “It’s the most exciting era to be in procurement and supply chain. We need to get loud about it and celebrate that fact.” 

CPOstrategy examines why replacing legacy systems could hold the key in procurement to achieve long-term success.

As technology evolves, modernising legacy systems in procurement becomes essential.

Change management is never straightforward or linear. Indeed, legacy systems are familiar to an organisation and the workforce might be reluctant to embrace a new way of working, or at least at the very beginning.

But how much damage is clinging to outdated processes doing to an organisation?

Replacing legacy systems

“For many organisations, legacy systems are seen as holding back the business initiatives and business processes that rely on them,” according to Stefan Van Der Zijden, VP Analyst at Gartner. “When a tipping point is reached, application leaders must look to application modernisation to help remove the obstacles.”

People often like their routines and a preferred methodology of how something is completed. This can lead to pushback from the workforce about the purpose of ‘fixing something if it isn’t broken.’ And the point of change for the sake of change is a valid one, up until an alternative which is going to demonstrate tangible benefits. The truth is that most legacy systems don’t allow for growth with older technology often not able to interact with newer systems and processes. In ‘7 options to modernise legacy systems’, Gartner pointed out six main drivers of application modernisation with three from a business sense and three from an IT perspective.

These are business fit, value and agility as well as cost, complexity and risk. If a legacy application isn’t meeting new requirements needed by a digital business, it needs to be modernised to fit properly and should be enhanced to offer greater value to the business. Without agility, a digital business will struggle to keep pace with the latest trends or craze and put the organisation at risk of falling behind competitors. Whereas from an IT side, if the total cost of ownership is too high or if the technology is too difficult to use, then modernising could be vital.

Overcoming resistance to change

Ultimately, change management is an essential component of any Chief Procurement Officer’s role. It can range from a small swap, such as a change of supplier, to wide-scale amendments such as altering the way goods and services are acquired or implementing a procurement or software transformation. According to data from group purchasing firm Una, 70% of change management efforts fail. In order to combat this, there are three key steps to overcoming resistance to change. These are engagement, managing resistance and not neglecting training.

Market disruptions, evolving customer demands and the necessity for a digital landscape has forced businesses’ hands. They are now faced with the task of completing legacy modernisation as a matter of urgency to deliver innovative products and services quickly and efficiently. Failure to do so could lead to being reactive instead of proactive – a risk that in today’s fast paced and ever-changing world that should be taken with caution.

CPOstrategy compiles five ways that ChatGPT can transform procurement amid the rise of generative AI in the space.

ChatGPT is seen by many as a catalyst for the next wave of technology transformation.

The technology, which was developed by OpenAI, has quickly become the buzzword of the year and one of the hottest topics on the c-suite agenda.

And its promise extends to procurement – an industry that relies heavily on the need for achieving efficiency, transparency and cost savings. Having already made its mark on a variety of industries already, procurement hopes that by embracing ChatGPT it will allow teams to make greater strategic decision-making to drive long-term value.

Here are five ways ChatGPT can transform procurement.

1. Rapid research

Through ChatGPT, time-consuming and cumbersome tasks such as research can now be completed almost instantly. Generative AI tools such as ChatGPT can analyse significant amounts of data and provide insights on market fluctuations while also searching for new suppliers, products and capabilities to secure better deals.

2. Automated procurement processes

ChatGPT can be used to discover patterns and identify trends which will allow procurement teams to make data-driven forecasts. Through leveraging predictive analytics, organisations can anticipate demand, optimise inventory levels and manage their supply chain more effectively.

3. Easier communication with suppliers

Tools such as ChatGPT can improve supplier performance tracking through automating data collection and analysis. Its focus on cooperation and transparency throughout the procurement process allows for stronger supplier relationships and more innovative thinking.

4. Enhanced risk management

A major benefit of generative AI in procurement is improved risk management and the ability to foresee potential dangers. Through identifying potential hazards such as financial instability among suppliers or non-compliance with procurement processes, ChatGPT can help businesses manage and reduce risks.

5. Cost savings and increased efficiency

ChatGPT can help organisations to save costs by automating operations, increasing stakeholder participation and allowing real-time data analysis. By reducing the amount of time and effort for tasks like evaluating bids and selecting a vendor, ChatGPT could shake up the procurement process immeasurably.

At DPW Amsterdam, Gregor Stühler, CEO and Co-founder of Scoutbee, and Karin Hagen-Gierer, CPO and Strategic Advisor at Scoutbee, discusses the rise of chatbots and their influence in procurement.

Scoutbee was created with the idea of improving supply chain resilience through AI and big data to transform the way organisations use supplier data to discover and connect with suppliers.

The company, which was founded in 2015, offers an AI-powered Scoutbee Intelligence Platform (SIP) which uses graph technology and predictive and prescriptive analytics to deliver holistic supplier visibility that helps procurement make confident supplier decisions, drive cross-functional efficiency and optimise existing technology investments.      

Scoutbee’s AI-driven data foundation connects teams to any data point, internal, external, third-party and more, as well as any data combination necessary to orchestrate a resilient, competitive and sustainable supply base.

Gregor Stühler is the CEO and Co-founder at Scoutbee. He believes that waiting to invest in AI tools and underlying data training will be companies’ greatest sustainable disadvantage of the next decade. “AI is not an off-the-shelf product, so you can’t buy AI unless it’s a pre-trained AI on a specific use case but then it’s not a competitive edge,” he tells us.

“A competitive edge only emerges when you have a clear use case and training on top of that. The companies that start using those AI solutions sooner with their data have much better training in place. As a result, they’ll always be ahead of the game quite significantly. Companies that use off-the-shelf AI products will do well, but the ones that actually take it meaningfully and start trading on their own use case and their own data will be the ones that will be accelerating.”

Gregor Stühler, CEO and Co-founder and Karin Hagen-Gierer, CPO and Strategic Advisor, at Scoutbee

AI – Changing the game?

Karin Hagen-Gierer is CPO and Strategic Advisor at Scoutbee. She explains that there are a multitude of ways in which tools such as generative AI are having an impact on procurement to change the game.      

“AI is great to help with mundane and boring tasks,” she discusses. “It can help us with vendor requests that come in and can be appropriately channelled. It can help your colleagues to navigate procurement. When they have questions, they can interact with a chat solution and be guided in a much better way to find what they want much quicker. I think if we look at how it can enhance our teams’ effectiveness, it is really in market analytics, supplier searches, supplier evaluations, and ChatGPT that could help us broaden the spectrum. If you then look to more tailored solutions like Scoutbee then it’s a very different ball game that procurement professionals have at their fingertips. I’m noticing a drive on both efficiency and effectiveness in this space.”

Despite AI’s draws, Stühler is well aware of the challenges and hesitations around digital technology. As far as he is concerned, there are two waves of generative AI to be aware of.  “Wave one is about having a prompt and how tools such as ChatGPT can help with that,” he says. “For example, what are 10 RFI questions for aluminium cans?

“Wave two is where I merge and synthesise all of my data into our large language model and it has reasoning to drive decision-making and scenario planning. You do have to be careful though because you have to give the system all your critical data but you don’t want to input this into an open model. This means the use case has to be that you deploy a large language model in your own infrastructure, and own your own graphic card that will never actually leave your organisation.

Gregor Stühler, CEO and Co-founder at Scoutbee

“This is the biggest concern that we’re seeing because ChatGPT has brought a lot of progress but also a lot of questions. Now, when people hear that we want them to merge their data into a large language model that’s completely private, we’re met with some resistance when we explain to them that their large language model is running on their very own graphics card that we don’t have access to. That tends to give them more comfort to put their data into it,” he continues.

Stühler adds that he believes there are some misconceptions around ChatGPT and the nature of how accurate the data it provides actually is. As is the case with any new technology, these things take time. “It’s always the same. It happened with electric cars, nobody thought that would solve the battery issue,” he discusses. “I think we are right at the peak of the hype cycle when it comes to those things and people have figured out what they can use it for. With wave one of generative AI, it is fine to have hallucinations of the model and if something is spat out that is not supported by the input.

“But by the second use case, hallucinations are not okay anymore because it’s working with accurate data and should not come up with some imaginary creative answers. It should be always supported by the data that is put in. This is very important that people understand that if you train the model and if you have the right setting, those hallucinations will go away and you can actually have a setting where the output of the model is 100% accurate,” he further emphasises.

Procurement’s potential

According to Karin Hagen-Gierer, there is an incredible opportunity to create value in procurement today. Following unprecedented global challenges over the past few years, CPOs have never been in the boardroom so often – something she’s keen to stress.      

“The value of procurement through crisis has been proven,” she says. “We tend to say, it’s not a core business, but very often if things don’t go right, it becomes core very quickly and you are in the CEO’s office more than you might like. It’s the breadth of the role that allows to drive value: You impact the P/L impact, topline, and the ESG agenda to name a few. But then there is a need to future-proof your team’s skill set around how you can drive more impact from being more effective in the respective tool sets you’re using, the questions you’re able to solve solutions for. Additionally, you have to work on improving your efficiencies. Teams are not getting bigger, so you need to be enabled in a very different way to really drive all this value.”

Karin Hagen-Gierer, CPO and Strategic Advisor at Scoutbee

Stühler reflects on the past and admires the transformation procurement has undergone in the past decade since he joined the industry. “I came to procurement in 2012 and even then I remember this function being solely responsible for paying invoices and calling trucks to arrive sooner – at first glance,” he says. “Combined with the crises that now happened over the last couple of years, post-Covid has proven procurement’s value – and the impact organisations such as Scoutbee can make.    

“I think two key things will happen in the future. Firstly, the tech landscape is exploding so quickly that there must be a consolidation that will happen. Secondly, when it comes to generative AI I think those pragmatic use cases will become the new normal. ChatGPT will be like Google today to get insights. Generative AI and large language models will get increasingly powerful over time and will help if you feed it the right data and connect it to different data streams that you have internally. It can become this true copilot and help you with complex scenario planning and make you aware of weak spots in your supply base while helping you to strategically take the right steps. The future is exciting,” he concludes.

Stefan Dent, co-founder at Simfoni, and Richard Martin, CEO at Thinking Machine, discuss the power of data in procurement and the future of AI.

“See spend differently”.

Simfoni is revolutionising how businesses spend their money – via data. In today’s ever-changing world, everything is underpinned by data at Simfoni.

Founded in 2015, Simfoni is a leading provider of spend analytics, Tail Spend and eSourcing solutions to global businesses. Simfoni’s platform utilises machine learning and AI to accelerate and automate key parts of the procurement process which saves time and money while creating a pathway for supply chain sustainability. Its solution quickly distils and organises complex spend data to help discover opportunities and savings. It also gets up and running in days with an on-demand spend automation solution.

Indeed, Simfoni aims to take the hassle out of procurement through its automated, fluid platform that offers a unique pay-as-you-save pricing model which reduces barriers to technology adoption. Through fused revolutionary technology with AI-enabled content and deep expertise to automate, streamline and simplify procurement. Simfoni’s composable platform provides a selection of advanced automation modules that help customers sky-rocket savings and achieve sustainability objectives.

Stefan Dent, co-founder, Simfoni

Stefan Dent co-founded Simfoni and now serves as Chief Strategy Officer. He tells us his organisation was created ‘with a purpose to be different’. “A lot of customers have been working on full suite solutions for some time, which was seen as a sort of panacea for all ills that would solve everything,” says Dent. “It solved some areas such as direct spend, but these are large, mega expensive solutions that aren’t particularly agile. Ultimately, we came up with our own solution which is purposely different. We launched as a composable, agile solution that works with existing systems to boos ROI on tech spend. We apply next-gen technology to procurement that democratizes access to digital procurement tools – opening-up digital solutions to organizations of any size and across any sector. It means we can open our solution up to the masses and not just for large organisations.”

Relationship with Thinking Machine

Simfoni is powered by analytics. Its analytics solution informs spend, as well as watching how change is measured and performance is tracked over time. Now eight years old, Simfoni has fostered alliances with several younger companies offering specialist tools which have been embedded within the Simfoni platform. One such company is Thinking Machine, led by CEO and Founder Richard Martin.

Thinking Machine was founded in 2019 by Martin after he discovered the industry needed to find a better use of data to address ‘complex spend’ such as in Telecoms where you have multiple vendors, manual and frequent billing, changing tariffs and users. Martin explains that he witnessed all types of companies going through the same problems instead of only large companies. “Thinking Machine was developed as a way to give customers a single source of revenue across all services, pricing and demand but in a way that can be done at the very lowest level,” says Martin. “We would take all that complexity and be able to roll it up into actionable evidence that could be reconciled against their top-level financial numbers. It gives procurement directors the tools they need to actually be in the driver’s seat when it comes to their procurement operations.”

Developing key, strategic relationships with partners that can be depended on is an essential component to the success of any long-term business relationship. Simfoni relies on Thinking Machine to help manage its load and enable customers to go deep with Thinking Machine to extract even more value from their data. “We offer our clients the opportunity to go deep within certain domains,” discusses Dent. “We can then bring in Thinking Machine to help extract even more value from the data on complex spend.

Stefan Dent and Richard Martin speaking to CPOstrategy at DPW Amsterdam

“Thinking Machine’s application will ingest a large quantum of complex data. Their tools work like magic and allows data to be put into a readable format so they can make sense of the actual spend and quickly identify optimisation opportunities. This is part of our philosophy to work with niche technology partners because we shouldn’t do everything, so we need to put our resources where it counts. Resources like Thinking Machine work well by plugging into us, which means we offer incremental value to our clients without them going to market separately.

“It can also be very hard for a young company to work with large corporates because they’re untried or untrusted. This means for a company like Thinking Machine to connect with Simfoni is a win-win for everyone.”

Procurement’s bright future

Given the space procurement finds itself in today, the future is set to continue to be transformative. For Martin, he believes the introduction and influence of generative AI tools will help meet challenges in procurement head-on. “For the first time you see how it’s actually possible to be a unicorn with a 10-person team,” he explains. “The scales of efficiency are just out of this world. In terms of the procuretech industry, I think we’ve had a problem for a while now because there’s been all these best-of-breed solutions that are doing bits and pieces but is very difficult to stitch together into one cohesive platform that customers can make use of without having to know how to use 50 different tools.

“I think Gen AI offers a path to helping to smooth over some of those challenges and figuring out how to bring these things together. I think enterprises are going to start finding a lot more value in having all these best-of-breed solutions, such as Thinking Machine and Simfoni, while being able to use AI as a way to put this together into more of a single common layer that they can access. It is a very exciting time.”

For much of the past decade, Dent explains that he has believed that machines will take over mundane and outdated ways of working. Now, with the influence of tools such as Open AI’s ChatGPT, that digital future has only been accelerated and change the workforce of tomorrow. “Most CPOs of today are saying they need more headcount but I think they will soon be thinking very differently,” he discusses. “We predicted some time ago that Procurement departments will get smaller in headcount, maybe by even up to 50%. The procurement function of the future will be a lot smaller, leaner, and meaner.  Procurement teams will be more intelligent and strategic, in terms of both the people employed, and the digital tools used to manage spend.”

While Dent believes AI and machines won’t replace every human in procurement, it will mean forward-thinking teams need to embrace new technology with humans taking on higher-value roles. “The shape and structure of the modern procurement function will change quite dramatically, and people will need to upskill,” he discusses. “A lot of the work will be taken over by the machine eventually either 20%, 50%, and then a hundred percent. But the human needs to have that in mind and then plan for that next three to five years. The procurement function of the future will be smaller, and they should purposely be doing that, to then look at solutions to find a way to enable it to happen naturally.

“This is arguably the best time for people to join procurement, as you’ve got this great opportunity to embrace digital and make it happen. Young people can question ‘Well, why can’t it be done by a machine?’ They’re coming in with that mindset, as opposed to fighting being replaced by a machine. I think for graduates coming into procurement, they’ve got the opportunity to play with digital and change the status quo which is a wonderful thing.”

Scott Mars, Global Vice President of Sales at Pactum AI, discusses his organisation’s solution amid procurement’s digital transformation.

AI. It’s everywhere, all at once.

Procurement is one of the leading industries when it comes to embracing new solutions and ways of working. The space is waking up to the massive value that can be created through autonomous negotiations. And making a name for itself in the procuretech ecosystem is Pactum.

Pactum is an AI-based system that helps global companies to automatically offer personalised, commercial negotiations on a significant scale. The system adds value and saves time for both the Pactum client and their negotiation partner by aligning values to determine win-win agreements via easy-to-use chat interface that implements best-practice negotiation strategies.

Scott Mars has been the Global Vice President of Sales at Pactum AI since December 2022. He explains that his organisation is always striving to grow and expand its service offering. “At Pactum AI, we’re defining the space,” explains Mars. “We’re a creator for autonomous negotiations, we work with some of the world’s largest organisations and we’re really looking to expand the pie. The name Pactum originates from the Latin definition of an informal agreement between two parties. We can do up to 10,000 negotiations at once and unlock hundreds of millions of dollars of savings for our clients. We’re typically looking at tail-end suppliers and tail-end spending that no one’s touching. In many cases, that represents 80% of the negotiations.”

Exponential savings

Mars highlights a recent example of incredible savings achieved through Pactum AI’s solutions in a short space of time. Recently, Pactum worked with a travel and leisure firm in the UK to introduce its autonomous procurement solution. “We conducted a very brief implementation over two weeks, which led to a much larger enterprise rollout,” he discusses. “The CPO was actually on holiday while we implemented the autonomous procurement solution with his team. This involved optimizing payment terms with some of his long-tail suppliers.

“When he got back from holiday, there were 50 DocuSigns sitting in his emails, all related to extending payment terms. Many of them were remarkable successes, resulting in an average extension of negotiated payment days by more than 30 days and a 3% average gain from negotiated discounts and discount periods. This means we secured an average discount of 3% on each invoice when paid within the agreed-upon discount term. Our unwavering commitment to enhancing overall value not only positively impacts our clients but also extends to their suppliers, creating a win-win scenario for all involved.”

With AI having such a transformative effect on procurement, achieving efficiency and cost-effectiveness is more streamlined than ever through digital tools. But being alert to new threats, particularly in a space that is so open to innovation, does bring data security concerns. Mars recognises the challenge of cybersecurity and affirms Pactum ensures the safety and confidentiality of sensitive procurement data remains secure in chatbot interactions.

Digital future

“Everything is hosted in a private cloud, so each customer has a private instance. It means all of our data is secure from a generative AI perspective,” he tells us. “Large language models (LLMs) are great, they’re creative but they have their problems which means we’re only using safe LLMs. All of our negotiation design is kept in-house, and we use rule-based explainable AI which means all the data is secure per each customer. We have the largest repository of behavioural science, so those learnings are shared across our customer base, but all the customer data and all their negotiations are private to each customer.”

Looking ahead, Mars is excited about procurement’s digital future and explains Pactum AI’s vision is to transform global commerce. “At the moment, we’re only doing buying, but we are looking to move into the sales side as well,” he discusses. “Large companies have a huge footprint. For example, the Fortune 500 is 66% of the US economy. The plan is for us to move into selling which will give us the scale to transform global commerce. It’s definitely a grand vision, but we do feel that we’ll move from buying into selling and transform global commerce.”

For procurement generally, Mars is adamant that the space is in its “golden age” with the magnitude of vendors within the procuretech ecosystem hitting unprecedented numbers. “I was speaking with a CPO recently and he said 10 years ago you could name the procure to pay and ERP vendors on one hand, now there’s hundreds of them and all these periphery vendors for AI and spend,” he reveals. “The most visionary procurement leaders aren’t just looking at these all-encompassing solutions, they’re bolting on niche solutions into their ecosystems to make their teams more efficient. I think we’ll start to see a consolidation in the coming years of all these little companies into a few larger players to do really an end-to-end type solution. I expect someone to come up with a solution to close the loop in procurement.”

Shaz Khan, CEO of Vroozi, discusses why AI is the great equaliser for companies to optimise procurement.

In today’s ever-evolving business landscape, companies are facing a multitude of challenges when it comes to managing and controlling their spending. From global supply chain disruptions, outdated technology solutions, labor shortages and much more, these challenges have an immense impact on a company’s financial health and overall efficiency. Additionally, procurement teams are regularly tasked with new responsibilities beyond spend management and purchasing, such as managing supplier risk, building, and implementing CSG and ESG initiatives, studying economic trends to determine price elasticity, finding new sources of supply, and cleaning up disparate and dirty data. Yet most companies simply do not have the human capital or bandwidth to execute these areas with quality and control.

When it comes to bridging the gap between the obligations that procurement teams are tasked with and efficiently executing on these tasks, AI may be the great equaliser to help solve these problems. While AI has turned into somewhat of a buzzword in today’s market, there’s no doubt that the technology has powerful capabilities to truly transform procurement in the foreseeable future. For those changes to take place, it is important for procurement professionals to continue to articulate the problems they are facing on a daily basis, as this will force the industry to evolve and adopt the proper solutions for better business outcomes.

Shaz Khan, CEO and co-founder, Vroozi

The problems: Unchecked spending, outdated tech, and lack of governance

Irresponsible spending can wreak havoc on a company’s financial well-being. With non-managed indirect and direct spend categories, companies experience up to a 40% increase in costs, consequently eroding their gross margins and increasing operating expenses. This usually stems from lack of visibility into non-payroll spend categories, combined with old and antiquated technology solutions within enterprise infrastructure that makes it difficult to extract data, analyse spending patterns, and generate meaningful reports on total addressable spend (sound familiar?). Poor data quality and the need for data cleansing can impede effective spending management, leading to faulty decision-making that hinders procurement efforts.

Unchecked spending can also foster a culture of mistrust and overall decreased morale among employees. When employees perceive that their hard work and dedication are being undermined by wasteful spending practices, workers begin to feel disengaged — which leads to reduced productivity. When spending is not carefully managed, there is a risk that critical projects or departments may not receive the resources they need to thrive. This not only causes anxiety about the organisation’s financial health, but it also can lead to concerns about resource allocation and fairness. Therefore, it creates broader mistrust in organisational leadership.

One of the biggest culprits in inefficient spending management comes from a lack of visibility into supplier contracts, which stifles a company’s ability to identify cost-saving opportunities. Hidden fees, price escalations, and unexpected cost structures can be buried in supplier contracts. A lack of visibility can result in unexpected cost overruns, impacting the organisation’s budget and profitability. Departments may also struggle to fully understand the terms and conditions within these contracts, including performance expectations, delivery schedules, and penalty clauses. This lack of clarity can increase the risk of contract breaches, quality issues, or delivery delays.

The long-term benefits of incorporating AI into procurement

With more at stake within procurement departments than ever before, AI serves as a turbocharged catalyst for procurement teams to optimise their processes. Procurement leaders are increasingly delegated additional responsibilities and AI offers an invaluable assistant that can process, predict, and deliver information and outcomes without exhausting human resources. For example, predictive and smart reordering can keep items that require ongoing restocking on a regular purchasing cycle. AI can also help identify alternative sources or suppliers for this item that may offer additional cost-savings and attractive incentives. As this technology becomes increasingly more capable, it’ll save procurement departments hours of time — freeing up employee bandwidth to then focus on optimising supplier relationships and other strategic tasks.

Earlier, we discussed how unchecked spending leads to mistrust and disengagement within an organisation. AI can help re-establish morale and an engaged staff by gamifying the procurement process. For example, a company can create a scenario where employees and teams are rewarded with soft benefits for complying to procurement policies, reducing maverick spend, improving supplier relationships, or negotiating a new deal with a strategic supplier. These soft benefit rewards can be programmed into the system to track and signal when teams are hitting these goals. Gamification, particularly when entire teams are rewarded together, can foster camaraderie and a dynamic culture built around the thrill of victory, aligning employees with the company’s procurement strategies.

Ensuring a smooth transition to AI-driven procurement processes

When beginning the transition towards an AI-infused process, it requires an honest assessment of existing processes, data quality, and technology infrastructure to identify pain points and areas where AI can provide the most value. Integration will require some level of customization to meet the specific needs of your business, such as custom algorithms, workflows, or user interfaces. This is an ongoing process. Optimisation requires the continuous gathering of feedback from users and stakeholders to identify which areas are working well and which features need improving. Be prepared to adapt as you go along. AI is a rapidly evolving field, and we are in the very early stages of realising the true potential of this technology.

As the AI revolution takes place in procurement, employees need to be introduced to new technologies to understand the strengths and more importantly the limitations. However, when thinking of the big picture, Procurement teams must be prepared to upskill their talent pool and recruit new talent to maximise AI’s potential including investing in certifications in data science, cloud platforms, supply chain management, and data analytics. To reap the benefits of automation, data-driven insights, and enhanced decision-making, leadership requires teams that have skills to use and interpret AI tools effectively — particularly when it comes to data management. AI solutions rely heavily on data and procurement teams must know how to effectively manage this data, including data cleansing, integration, and analysis to ensure that the algorithms receive high-quality input data and large language models for accurate results and the promise of real predictive analytics.

The promise of a brighter future

This is also why collaboration between departments is essential. For AI technology to be implemented effectively, it requires synchronisation and cross-functional collaboration between IT, data science, corporate procurement, finance, and other departments. Companies that cultivate these collaborative ecosystems within their departments gain a strategic edge in terms of stability and future growth.

It’s important to note that while AI is a productivity and enablement tool, it is not a replacement for human intellect, willpower, and execution. Therefore, it’s essential to seek knowledge and expertise from insights from companies, networking groups, and individuals with practical experience in AI and GenAI capabilities. Remember, it’s important that you do not let AI drive your business, but rather let your business needs drive AI adoption. Define the specific problem that you aim to solve and determine if AI is the right tool to boost these areas.

Ultimately, the incorporation of AI into procurement processes holds the promise of a brighter, more efficient future for businesses. Procurement departments face many challenges but if they address these pain points with a strategic approach that involves the adoption of modern technology solutions while upskilling their workforce, businesses can expect to soon see enhanced visibility into their spending and gain a strategic edge in a competitive market.  One thing is certain, AI will transform the procurement professional and function into a data analytics and supplier relationship mastermind.

By Shaz Khan

ORO Labs has announced it has raised $34 million in Series B funding led by Felicis with participation from existing investors.

ORO Labs has announced it has raised $34 million in Series B funding led by Felicis with participation from existing investors including Norwest Venture Partners, B Capital, and XYZ Venture Capital.

The move will see increased support for ORO Labs, which is a global SaaS provider and creator of the world’s foremost smart workflow orchestration platform for procurement, as it scales international and platform growth.

This latest round closes at the one-year milestone of ORO’s launch and the company’s November 2022 $25 million Series A, bringing total investment raised to $60 million.

ORO orchestrates company spend and supplier management across siloed systems and data to improve procurement workflows, increases visibility and makes it easier for business users.

ORO Labs co-founders Sudhir Bhojwani and Lalitha Rajagopalan

Humanising the procurement experience

The innovative platform helps companies quickly create intake workflows, build an integrated and orchestrated procurement tech stack, and dramatically simplify user engagement with purchasing throughout the organisation.

“We’re on a mission to humanise the overall procurement experience, simplifying and guiding end-to-end supplier engagement for efficiency and compliance,” said Sudhir Bhojwani, CEO and co-founder at ORO Labs. “Our Series B financing is further validation, not only of our success in executing, but also the opportunities as we continue to develop and scale ORO for international expansion and a host of new use cases – bringing incredibly easy start-to-finish procurement to even more organisations for agile operations and happy employees.”

“Our 2023 CFO survey identified procurement as the top pain point for CFOs and the number one spending priority,” said Victoria Treyger, general partner at Felicis Ventures. “ORO’s platform approach to orchestrating and simplifying workflows is driving adoption with global Fortune 1000 companies across a range of industries from financial services to pharma. Sudhir, Lalitha, and Yuan share a rare combination of deep procurement knowledge with the passion and insight to transform the category.”

ORO Labs co-founder Lalitha Rajagopalan noted, “I’m personally thrilled to have a woman investor joining the ORO board. Victoria brings keen go-to-market insight and a genuine love for procurement that will help us continue to scale our business, as well as a diverse perspective that aligns with important supplier inclusivity imperatives for our enterprise customers.”

Tackling the future

In use by leading global Fortune 200 enterprises, ORO provides organisations with a next-generation platform that streamlines procurement and reduces supplier cycle time using workflow automation. From intake to spend control, and contract management to supplier relationships, ORO’s smart procurement workflows empower organizations to optimize efficiency and drive success.

“Coordinating a global procurement organisation effectively and holistically with all stakeholders involved is a constant challenge for any enterprise,” noted Matthias Dohrn, President of Global Procurement for BASF. “ORO allows us to better do our part as procurement and orchestrate and scale thousands of value-generating procurement and business measures across the globe, understanding KPIs from a global perspective to streamline our processes, better engage employees and to generate EBIT. The low-hanging fruits are gone, and to manage thousands of improvement ideas, you need a tool to deliver – this for us is ORO.”

The news comes after ORO Labs was announced as the growth stage track winner of DPW‘s DEMO 2023 competition at DPW Amsterdam last month.

At DPW Amsterdam, Ashwin Kumar, vice president at GEP, discusses procurement transformation and what tomorrow’s challenge could look like.

Transformation. Procurement has witnessed quite a bit in recent years.

Given the widespread adoption and acceleration of AI and data-driven processes over the past decade, change has been a necessity rather than a nice to have.

Evolution of AI transformation

Ashwin Kumar is not unfamiliar with change. Having worked at GEP since May 2008, he has had a front-row seat to the transformation and change procurement has overseen. Now Vice President, he tells us about the evolution of the procurement function and how the landscape is shifting to meet future market demands.

“I think the way we see the industry evolve over time is because we started with web 1.0, simple ERPs that were fragmented with no easy way to connect systems,” he tells us. “Data was all behind firewalls and it was very expensive to manage or mine data. Then we had a big technology breakthrough in cloud systems where the people who were managing the storage said they had a solution. You can just simply push data out of the cloud and what we saw was a lot of that control that the CIOs had on data architecture and the software systems and solutions was being given to different functions.

“A lot of that enrichment of data happened because of the cloud platform that enabled it. Back in 2010, we made the decision to move away from a SaaS platform because even then we believed the future was cloud and that’s where data is going to be which could mean a gold mine. Our CEO made a very conscious decision to basically stop a really good product that was working and move to the cloud platform.”

Ashwin Kumar, Vice President, GEP

The GEP difference

Today, a global leader in AI-driven procurement and supply chain transformation, GEP helps enterprises take the lead and, using the power of data and digital technology, to stay ahead in the connected global economy. More than 1,000 engineers have spent the last 7 months to design and launch GEP’s new AI-native, low-code platform for sustainable procurement and supply chains, GEP QUANTUM. This new platform, launched last week, powers GEP SMART, the industry’s leading source-to-pay procurement application, GEP NEXXE, its next gen supply chain solution, and GEP GREEN, enabling companies to track, measure and achieve their ESG goals.

With the transformative power of AI, GEP enables businesses to operate with greater efficiency and effectiveness, gain competitive advantage, boost profitability and maximise both business and shareholder value. GEP helps global enterprises across industries and verticals build high-performing, resilient and sustainable supply chains.

Investing in dedicated spend analytics and solutions has become an essential part of the procurement process. Data is king and ultimately the more companies know and can predict, the better off they’ll be. However, some companies are still lagging behind when it comes to adopting digital tools created for better visibility and transparency. Kumar questions the reason for this and points to the possibility that there could be a perception that digital tools were hype or a fad – but affirms spend visibility is the real deal.

“If you look at spend data, if I’m the business stakeholder, you’re coming and showing me things that happened six months before,” he tells us. “One of the things we actively tell customers is to understand that there is a difference between spend and cost. Spend is basically the last AP data that you get, which means it’s not even current.”

Procurement’s greatest time?

Given the disruptive nature of the past few years, procurement has had to stand up and be counted. For Kumar, he reflects on global challenges such as Covid, a war in Ukraine and inflation and its knock-on effect on procurement and the supply chain. He maintains that it’s a “difficult time” to be in the industry at the moment given the hurdles procurement and the wider world has faced head-on recently.

“We started off with Covid where we went and told suppliers, sorry, I don’t have money to spend so I’m going to stop spending,” he tells us. “Two months later, you tell them there’s a supply shock and since I’m your preferred customer, can you do something for me? Make sure my products are getting to me on time. Then six months later, there was a war in Ukraine where you were testing suppliers to see which side they were on and questioning whether or not to do business with them. After that, there were inflation concerns so things are constantly changing and you’re pivoting from one problem to another.

“It now means you need to have a platform ecosystem with multiple solution options so that there isn’t a single point of failure and avoid the need for a “transformation” every two years. Given the pace at which things are changing in the macro environment, those single points of failure are quickly going from lack of supply to resilience to risk to people to visibility. It could be something else tomorrow, it could be ESG tomorrow, we simply don’t know. I could have a really good risk assessment tool, but that might not be my focus six months from now – it could be something else. So resilience in the form of digital ecosystem housing different point solutions is paramount.”

Koray Köse, Chief Industry Officer at Everstream Analytics, speaks to us exclusively at DPW Amsterdam and discusses the importance of leading from the front in the supply chain

Everstream Analytics sets the global supply chain standard.

Through the application of AI and predictive analytics to its vast proprietary dataset, Everstream delivers the predictive insights and risk analytics businesses need for a smarter, more autonomous and sustainable supply chain. Everstream’s proven solution integrates with procurement, logistics and business continuity platforms generating the complete information, sharper analysis, and accurate predictions required to turn the supply chain into a business asset.

Koray Köse is a supply chain expert, futurist and multi-lingual thought leader, CPO, researcher, and published author. He specialises in working with CSCOs, CPOs, CIOs and other c-level executives while possessing more than 20 years of success in developing global supply chain and sourcing strategies, re-engineering and transforming business processes, and maximising financial resources. Köse is experienced in designing new business frameworks, risk and governance processes and deploying full-scale ERP and procure-to-pay systems to drive efficiencies through digital transformation. He is an expert in industries such as automotive, pharma, life sciences, IT, electronics and FMCG and has served as Chief Industry Officer at Everstream Analytics since June 2023.

Koray Köse, Chief Industry Officer, Everstream Analytics

World’s first Slave-Free Alliance

Recently, Everstream became the world’s first Slave-Free Alliance (SFA) validated modern slavery and forced labour technology provider. Everstream’s collaboration combines the firm’s multi-tier supplier discovery and AI-powered risk monitoring and analytics with SFA’s proprietary forced labour intelligence to expose unknown risks and protect global supply chains from modern slavery and exploitation.

“We’ve had issues in supply chain before, like conflict minerals for instance was a big topic,” Köse tells us. “Legislation came that was rather weak, where companies can say we can’t confirm nor deny that we have conflict minerals in our products. Modern slavery takes it to a whole different level. In essence, you may get import issues the moment that you might be suspicious, or the government import controls may say, ‘this comes from a specific region that has general exposure’. You basically have a disruption in your supply chain.

“If you forget about the business side, your business is actually promoting ethics that your own company in its statement and the way you live don’t align with and you didn’t know about it. So unknowingly you have actually incremented the issue that you are tackling on your own and within your environment. For us it was important to live up to the promise and look for an NGO that is impactful, has a mindset that is all about partnership and not blaming or shaming, it’s about changing the environment.”

Breaking down barriers

Around 50 million people worldwide are living in modern slavery. It remains a serious problem in nearly every region, with over 40% occurring in upper-middle to high-income countries. Due to the opacity and complexity of today’s global supply networks, companies are increasingly vulnerable to the risk of forced labour. According to a study cited by Slave-Free Alliance, 77% of companies expect to find modern slavery somewhere in their supply chain. Through this alliance, Everstream will actively contribute to enhancing capabilities and eradicating modern slavery and forced labour from global supply chains.

“We started that partnership to transfer our knowledge and also get insights from their end and understand what the upcoming issues were in the arenas of modern-day slavery that we should keep an eye on and how to help our clients to be informed and avoid getting exposed,” says Köse. “That’s where I started to talk with Hope for Justice and have collaborated with them during my time at Gartner as well. Then legislation is pushing the matter to the forefront of supply chain issues.

“Now, there is also financial impact and disruption and there’s the ability to do good and live up to the promise of your own vision and the way you want to conduct your business. Then I wanted to put our product to test and make sure that it lives up to the promise and if it doesn’t then we fix it. We went through a validation process and we got 90% plus accuracy in the feedback, which is important as it’s another confidence boost that we’re doing the right thing and we should continue on that path. We are the first world’s first validated modern-day slavery solution to tackle the issue – we’re very proud of that.”

The value of due diligence

In today’s fast-paced world, due diligence has become more important than ever. Companies must ensure they are generating the best value for money and that the product that they’re purchasing actually meets their needs. Köse believes companies almost have no choice in 2023.

“It’s an element that is not only preserving value, but it also creates it too,” he explains. “In the past it was more like a checkbox exercise that you conducted because everyone thought it was the right thing to do. Meanwhile, you had spillovers that you didn’t know about. It’s almost like what I don’t know, I don’t care. Since transparency requirements have been augmented significantly and the realisation of transparency as a value driver has dropped through Covid almost instantaneously in the c-level boardroom, compliance has become a value driver.

“It’s not just a checkbox exercise where you say that you are compliant. It is an affirmation of your product quality, brand and innovation that speaks to the customers and the choice they make. If you are concatenating beliefs and values to your product in that moment, you just have created a customer and that customer will be retained throughout the lifetime that you actually care about what they care about.”

Zip has been named as the most innovative fintech solution after being recognised with an award.

Procuretech firm Zip has announced its platform was chosen as the Most Innovative Fintech Solution by the 2023 Tech Ascension Awards.

The awards evaluate the top innovations in fintech, judging applicants based on technology innovation, market research and competitive differentiators.

Class-leading vendors recognised by the awards deliver technology that solves critical industry challenges and produces valuable business outcomes for customers.

Zip, which delivers an industry-leading intake solution, provides enhanced spend visibility, integrations into a company’s tech stack and new AI capabilities to accelerate workflows and identify savings.

The company’s platform modernises procurement workflows with a single front-door for employee purchases.

Setting the standard

“Our intake-to-pay solution is a revolutionary approach to procurement, and we’re thrilled to be recognised,” said Rujul Zaparde, co-founder of Zip.

“Zip not only improves efficiency across every business function but contributes to a new, highly improved employee experience by solving first for employee adoption of spend controls.

“We’re on a mission to continue setting the gold standard for procurement. Zip is the only platform that seamlessly streamlines procurement processes from intake all the way through to payments.”

The Tech Ascension Awards applicants are judged based on technology innovation, market research, hard performance stats and competitive differentiators.

The awards acknowledge leaders in enterprise and consumer technology. Two panels of enterprise and consumer industry experts judged submissions based on factual company descriptions. They were also measured on relevant statistics and data points as well as distinctiveness in the marketplace.

“As AI, cloud and interoperability serve as the new driving forces, we’re honoured to recognise these leaders in innovation,” said David Campbell, CEO, Tech Ascension Awards.

“We look forward to continuing to recognise companies that hold the power to transform the financial landscape for the better, driving advancements that improve accessibility, security and simplified experiences for users.”

Georg Rösch, Vice President Direct Procurement Strategy at JAGGAER, discusses his organisation’s approach amid significant transformation and evolution

Procurement is at a sliding doors moment – its direction of travel could go one way or another.

The influx of new technology makes procurement a dynamic and interesting industry in 2023. Following global challenges felt around the globe, procurement practitioners have had to step up in the face of adversity. To the industry’s credit, procurement has so far come through it but now it’s about embracing the world of today and finding ways to deal with pressing issues such as ESG and the knock-on effects of a war in Ukraine while also navigating inflation concerns. Of course, all this is on the back of COVID-19, of which the aftermath is still felt in some quarters.

In a recent CPOstrategy Podcast, Georg Rösch, Vice President Direct Procurement Strategy at JAGGAER, tells us all about how spend management giant JAGGAER is helping procurement teams overcome the challenging backdrop and discusses digitalisation strategies within the space.

Georg Rösch, Vice President Direct Procurement Strategy at JAGGAER
Georg Rösch, Vice President Direct Procurement Strategy at JAGGAER

The road in which procurement professionals end up where they do is always an interesting one. Can you tell us why procurement was the path you chose which led to your journey to JAGGAER? 

Georg Rosch (GR): “I would say I stumbled into the procurement space. Growing up, I was always a technology person and had a very early interest in computers. When everyone was playing video games, I was playing around with software and started coding. Eventually, one thing led to another, and I found myself in a small procurement startup in Vienna in development. This is really where I found out that this is interesting stuff. 20 years later, it’s crazy to think I’m still doing it because I didn’t even know this field existed and I think that is felt industry wide. But I still love it and getting to combine procurement with technology is something I’m really interested in.” 

In your view, how would you explain JAGGAER and sum up what differentiates it from other players in the space?

GR: “JAGGAER has been around for more than 25 years and came together through a lot of mergers and acquisitions. I came through from a branch that was local to Austria and the company has become one of the largest procurement software vendors out there. What I really like about JAGGAER is our vision of autonomous commerce. First of all, it sounds weird for a procurement software vendor not to have the word procurement in the tagline. But that’s done on purpose, because when you think about what a procurement software firm really does, it’s about communication and collaboration between buyers and sellers.

“For a while, JAGGAER was really good at the indirect procurement side which revolved around the whole P2P process. That’s really where a lot of our business came from. But this has evolved over the past 20 years into more of the source-to-contract process that’s being added which is proving so important. It’s not just the execution, but also the strategy of how you build everything and how you find the right sources. As part of autonomous commerce, we created four pillars. It’s networked, intelligent, comprehensive and extensible which spells NICE so it’s very easy to remember.”

Can you expand on the NICE strategy that JAGGAER has developed? What is its true meaning?

GR: “Networked basically means you collaborate with your suppliers, buyers, sellers, partners – everyone. It’s like the modern-day town square where the commerce happens – it’s the foundation of everything. Then it needs to be intelligent which means the question isn’t just about what data you have, but how do you intelligently use the data to drive the processes? Next, you have comprehensive. That encompasses all the functions you have starting from analytics, category management, supplier management, sourcing contracts, ePRO, supply chain management and quality management. It’s all of these beautiful things and how they work together. 

“Finally, extensibility means a lot of different things. It means being open to communicating with other systems. With our platform, you can bring in a lot of external data – ESG and sustainability, risk, enriched supplier data, and more – from our partners into our solution. This allows you to make smarter decisions across the procurement cycle. Another aspect is that not every company is the same. Extensibility also means, ‘how can I tailor the solution to my needs?’ This completes the picture that we are working towards here at JAGGAER.”

The procurement space itself has undergone major transformation over the past decade and suddenly, it is so much more than just a back-office function out the way of everyone else. What has been the catalyst for its transformation in your opinion?

GR: “Procurement is really at a make-or-break moment. Supply chain and procurement have been really in the spotlight in the last couple of years. It’s been a case of ‘oh my, there aren’t any shipments coming anymore’ or ‘people are not buying the stuff that they bought before because our whole way of life changed.’ So, we were working from home, and we were not going out to restaurants or buying new clothes because we were all in our tracksuits all day. Society shifted. This meant procurement and supply chain management was really important because they needed to navigate all of this.


“This is why expectations and visibility of these functions rose during that time. But now we’re at a critical point. Can those functions deliver the value that they should? And can they continue this momentum? This is why I’m saying we’re at the make-or-break moment and there are a lot of companies that really made this transition and change to where procurement is an advisor to the business which is so critically important. Think about everything that’s not going away such as ESG with the environmental element, human rights and the governance of those different processes. Procurement is playing such a critical role of managing all these different agendas within our board level topics today.”

How is JAGGAER driving value to companies in a way that perhaps it didn’t before?

GR: “At JAGGAER in procurement, you want to cater to the most mature companies but many of your potential customers are not the most mature firms. It’s a challenge and that’s the balance that you need to strike. You have to be ahead of the curve and in front of the market, so we take this very seriously. We have a dedicated team that’s only working on what we call innovation to uncover questions like how do we use these new technologies? How can we bring this into the solution? How do we drive value for our customers with these things? We did this by coming up with what we call a maturity matrix, where you can see which step of the maturity scale you are on right now.


“It’s five steps in total but no one is at step five yet. The current technology that exists today is at step four, but the space is constantly changing. As a customer, they can measure where they are and say, ‘I might be a two at that process, but I’m a three at that’ and work out what needs attention. They can ask themselves the question, should I even do this? Does this make sense for me as an organisation? We really try to work with those maturity models because it helps us whenever we work with a customer to assess where they are and tell them this is where you can go, and this is what you can achieve by doing that. 

“It helps us have the right conversations with our customers which was part of the vision of autonomous commerce. We have autonomous commerce as our North Star and know where we and the industry are aiming for, so it’s imperative our customers know the way too.”

How important is it that any technology introduced actually serves a purpose instead of being introduced for technologies sake?

GR: “People love technology, I love technology. But in business, we shouldn’t use a tool just because we like it. Tools should drive value. I won’t use something just because it sounds fancy. I’ll take whatever solution can truly solve the problem. At JAGGAER, when we evaluate solutions, we always consider what really helps us as an organisation and what drives value. At the end of the day, we are here to make our customers successful.  And how is that success measured? Each customer might have different KPIs, but in the end, it’s driving valuation and value for the company. Value can look different for your organisation, whether it’s higher customer or shareholder value. We have to be very pragmatic about the means of how we help because what works for one company potentially doesn’t work for another.”

What does the future of procurement look like to you? How exciting/challenging does the road ahead look for the space?

GR: “I believe it’s continuing the path that we’re on right now which is bringing more data and market intelligence into the whole procurement process. Procurement overall has to move away from gut feeling decision-making. Success stems from bringing all the information that’s needed for procurement into a solution for data-driven decision making. What I’m seeing right now is more strategic information regarding important topics such as environmental impact and human rights. All of this should make a difference and influence the decision making in procurement. This is how procurement drives the sustainability agenda of the company and reliability across the supply chain. This is really where I see procurement going. It’s about taking in all this information, being the advisor to the business, and making the right decisions to drive the company strategy. The future is exciting.”

CPOstrategy visits HICX’s first Supplier Experience Live as organisations gear up to remove friction and become a customer of choice.

Supplier experience has never been such a hot topic.

After decades in the darkness, the importance of supplier experience is finally on the agenda.

Truthfully, success can’t be achieved alone. Without happy, committed and strategic supplier relationships, a business will stagnate. And now, organisations are waking up to the potential a robust supplier base could unlock.

The rise of Supplier Experience

Earlier this month, HICX launched its first-ever Supplier Experience Live the day before DPW Amsterdam. Hosted at the Tobacco Theatre in Amsterdam, it was recognised as an official DPW Amsterdam side event. The event’s vision was to help organisations use supplier experience to remove friction and become a customer-of-choice.

The half-day event began with a welcome from Ragnar Lorentzen, Chief Commercial Officer at HICX, who opened the door to the world of supplier experience and the market developments that have led the way. Lorentzen handed over to the first keynote speech from Dr. Elouise Epstein who explained that the ERP system was dead. Epstein suggested that the solution could be how well you exchange data with third parties.

Following Epstein was a panel discussion that featured Ruth Bromley, Director of Procurement Enablement at Heineken, Adam Hubbard, Senior Manager of Supply Chain, Governance and Performance at EDF which was moderated by Tommy Benston, VP of Global Client Management at HICX. The conversation advised of ways to gain a competitive advantage in procurement and supply chain through supplier experience management. Bromley highlighted three key learnings: speed, standardisation and simplicity, believing in a “single source of truth”.

Dr. Elouise Epstein
Dr. Elouise Epstein

Driving supplier adoption

Later, Anthony Payne, CMO at HICX, discussed how to drive supplier adoption and engagement through supplier marketing. Payne explained the value of segmentation which is the process of dividing the market into subsets of customers who share similar characteristics. Payne equipped the audience with six recommendations to take forward and advised them to use caution with the language they use with suppliers. Following the coffee break was Duncan Jones, former Vice President and Principal Analyst at Forrester Research, who unpacked the reality of how to decide on the correct types of solutions in the new best-of-breed era amidst a transition away from the traditional database-centric approach.

The afternoon continued with a panel discussion involving Marc Bengio, Senior Director and Head of Technology Enterprise Procurement at Johnson & Johnson, Lance Younger, CEO at ProcureTech and Jacy Bassett, VP of Professional Services, to explore the topic “Demystifying the technology landscape: How do you architect for Supplier Experience?” Each speaker gave their viewpoint on how to arm the procurement function of tomorrow to meet the challenge of an ever-changing digital world. The conversation offered guidance and counsel amid an explosion of transformative solutions in the space.

Costas Xyloyiannis, CEO at HICX
Costas Xyloyiannis, CEO at HICX

Bright future

Finally, Costas Xyloyiannis, CEO at HICX, took to the stage to announce the launch of IUBN which he explained was a streamlined way to identify legal entities in a bid to create net efficiency within the supply chain. One system, one time, everywhere.

Speaking exclusively to CPOstrategy at the event, Xyloyiannis told us, “It’s pretty significant running an event like this. I’ve been in the space 23 years, and finally, I feel like the focus is shifting. Two or three years ago no one was talking about supplier experience so it’s great to see a movement starting to happen. It is very satisfying because you see people’s minds changing in the same way that it did for the customer and employee experience.

“What you have to think about is that almost every company is also a supplier so it’s in your interest to focus on the supplier experience side. In another context, you’re also a supplier and people should understand that we’re all in it together. If you don’t think about solving it, then you’re going to have that pain yourself.”

Supplier experience is just getting started. Reimagine the possible.

Global research and advisory giants Deloitte and DPW has announced a partnership to bring procurement innovation to organisations.

Deloitte and DPW has announced a partnership to bring procurement innovation to organisations.

Under the terms of this strategic alliance, DPW LABS, the consulting arm of DPW, and Deloitte will work together to refine the boundaries of innovation in procurement.

From problem and strategy definition to proof of concept and deployment, through the DPW LABS innovation capabilities and digital ecosystem and Deloitte’s global transformation capabilities, the move allows for impact to be delivered at scale.

Deloitte is a global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services.

The firm, which is a member of the Big Four in professional services, currently has about 330,000 employees in more than 150 countries and territories. 

Founded in 2019, DPW stands as a global leader in procurement innovation. DPW LABS empowers organisations to identify and seize collaborative innovation opportunities with DPW’s line-up of pioneering startups, scale-ups, and tech innovation experts.

Herman Knevel, co-founder and co-CEO at DPW, said: “We are excited about this strategic partnership with Deloitte.

“This partnership will enable us to join forces and make tech work, expand and complement our impact at global scale.” 

Michiel Junge, partner of sourcing and procurement at Deloitte, added: “We are united in our mission to make procurement awesome.

“The partnership with DPW will enable our clients to tap into DPW’s capabilities and ecosystem and define their procurement future.”

The move comes after DPW welcomed over 1,250 procurement professionals to Amsterdam for its annual conference.

DPW Amsterdam has quickly made its name as a hub of innovation and collaboration. It is one of the biggest and most influential tech events in procurement and supply chain.

CPOstrategy travels to the Netherlands to soak in the atmosphere of one of the world’s biggest and most influential tech events in procurement and supply chain – DPW Amsterdam 2023

“You are the reason why DPW exists.

“It’s been my mission from day one to break procurement out of its silo and create what I call the end-to-end ecosystem and that is you.”

Digital Procurement World (DPW) Founder Matthias Gutzmann’s first address to the crowd gathered before the main stage had a clear tone of appreciation.

The rise of DPW Amsterdam

Today, DPW Amsterdam is one of the world’s biggest and most influential tech events in procurement and supply chain. Its exponential rise in a relatively short space of time is undeniable. Its story began with a frustrated Gutzmann having discovered a lack of procurement conferences to showcase his previous employer. This led to Gutzmann finding a gap in the market and set about solving the issue himself. He left his job in New York, moved into his parent’s house and invested all his savings to launch DPW. Months later, DPW’s launch conference in September 2019 welcomed 400 industry leaders while being praised from across procurement. Under the watch of Gutzmann and co-CEO Herman Knevel, DPW’s influence and pull has only grown since.

This year’s event was located at the historic former stock exchange building, the Beurs van Berlage. Built in 1896, the building breathes character and history. Its architecture and rich past, alongside its central Amsterdam location, showcases its sense of place and being.

DPW Conference, Amsterdam 2023

Innovation

DPW Amsterdam has quickly made its name as a hub of innovation and collaboration. This year, more than 1,250 procurement professionals gathered to connect, learn and innovate, while over 2,500 virtual attendees watched along at home. The buzz and hum of chatter was audible, the sense of excitement evident. And the attendees were certainly in for a treat. This year’s theme was “Make Tech Work” which focused on turning digital aspirations into a reality. There was a deep dive into discussions surrounding AI and machine learning in procurement, digital transformation strategies, sustainable procurement, supplier collaboration, risk management as well as innovation and disruption. It was all centred on ensuring the vision of digital procurement happens now and how organisations can be challenged to deliver results now instead of only concepts and theories.

Speakers across the two days included renowned experts and visionaries including the likes of Dr. Elouise Epstein, Partner at Kearney, Yossi Sheffi, Director of Massachusetts Institute of Technology and author David Rogers, among dozens more. Sarah Barnes-Humphrey led superb virtual coverage of the event and allowed those unable to make it to still feel a part of such an important conference in the procurement calendar. There were book signings from Sheffi and Atif Rafiq, eye-catching tech innovations showcased on stage and even an appearance from F1 legend and Haas Formula One team principal Guenther Steiner.

DPW's founder Matthias Gutzmann

Digital future

To sum up, in comedian and host of DPW Amsterdam Andrew Moskos’ opening speech he reflected on procurement’s evolution and transformation. “Procurement used to be boring but now we’re all rockstars. We run the company, we’re in the c-suite, we run ESG, sustainability, risk, and 80% of the spend of a company goes through us.”

Change is here and procurement holds the cards. Let’s Make Tech Work.

CPOstrategy examines 10 of the best ways to use artificial intelligence (AI) in procurement

Artificial intelligence (AI) is one of the biggest buzzwords in procurement. Everyone wants to get their hands on it and introduce it into their strategies.

Particularly in procurement, AI is often talked about being the answer to all challenges. It can be used to overcome complex problems and deliver efficiency while also being introduced within software applications such as spend analysis, contract management and strategic sourcing.

In this article, we will list 10 of the best ways to use AI in procurement.

1. Machine learning spend classification

AI algorithms can help categorise, clean and classify data automatically. Machine learning spend classification helps detect patterns and uses them for prediction while allowing for better decision-making. Examples of spend classification techniques include supervised learning, unsupervised learning in vendor management and classification reinforcement learning. 

2. Natural Language Processing (NLP)

National Language Processing (NLP) is the branch of artificial intelligence focused on understanding, interpreting and manipulating human language. It can be used to gain valuable data and information to streamline time-consuming processes. Information contained in legal documents can be interpreted through AI for the procurement of relevant data. It allows procurement professionals to get ahead and use an AI assist engine to receive alerts to proactively monitor progress. It also allows for compliance over the life of multiple agreements with the same or several vendors.

3. Robotic Process Automation (RPA)

Robotic Process Automation (RPA) mimics human actions to eradicate repetitive tasks. While not strictly AI in the traditional sense, RPA does provide procurement with opportunities to improve process efficiency and is part of the wider family of AI. It can assist with the likes of contract management, input identification as well as purchase request and order submission, among more benefits.

4. Anomaly detection

With AI being able to process vast amounts of data quickly, it is able to stay up to date on the latest developments and changes in the procurement space at speed. Automated notifications on things such as anomalies, new opportunities and recommended activities allows for immediate action to be taken and provide suggestions on what should be done instantly. Rapid detection will ensure risks are mitigated and resolved before they become problems.

5. Purchasing

AI can be utilised to automatically review and approve purchase orders. Chatbots can be used to check the status of acquisitions or automatically approve virtual card payments. AI can analyse data and assess the reliability and quality of suppliers based on predefined criteria. This helps the purchasing team select the best suppliers quickly and accurately.

6. Contract management

Contract management can benefit through using AI to create, store, review, index, retrieve, analyse, negotiate and approve agreements. A big benefit delivered by contract management solutions that use AI is standardised metadata reporting which eliminates the need for category managers and legal counsels to manually read contracts to gain insights into the commercial part of their supplier relationships.

7. Supplier risk management

Supplier risk management is an important part of the procurement process and is around understanding what happens if a supplier fails to meet its obligations. To combat this, AI can be used to monitor and work out potential risk position through Big Data. Millions of different data sources are screened in order to provide alerts on potential risks within the supply chain.

8. Accounts payable automation

AI can automate most manual tasks in accounting such as data entry and invoice routing. Using AI for this substantially reduces procure-to-pay cycles, minimises the need for humans to get involved and integrates multiple workflows into a seamless process.

9. Strategic sourcing

Using AI in strategic sourcing is a key tool in a procurement practitioner’s arsenal. AI can be used to manage and automate sourcing events while also leveraging machine learning for the recognition of bid sheets, as well as specialised category-specific e-sourcing bots such as raw materials and maintenance.

10. Automated compliance

AI can also be used as a valuable tool for compliance officers to help work out potential risks, monitor employee behaviour, generate reports, provide recommendations as well as educating employees about the importance of compliance. For organisations without a source-to-pay system, compliance is a useful alternative and allows procurement teams to seamlessly compare payment terms, identify duplications as well as determine non-compliance.

Doug Laney is Innovation Fellow at West Monroe and a leading Data & Analytics strategist. We caught up with the author of Infonomics and Data Juice to talk tech and how companies can measure, manage and monetise to realise the potential of their data

Our cover story explores the rise of data and information as an asset.

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Read the latest issue here!

How to monetise, manage and measure data as an asset

Our cover star is pretty big in the world of analytics… We meet the guy who defined Big Data. Doug Laney is Innovation Fellow at West Monroe and a leading Data & Analytics strategist. We caught up with the author of Infonomics and Data Juice to talk tech and learn how companies can measure, manage and monetise to realise the potential of their information. In his first book Laney advised companies to stop being fixated on hindsight-oriented analytics. “It doesn’t actually move the needle on the business. In the stories I’ve compiled over the last decade, 98% have more to do with organisations using data to diagnose, predict, prescribe or automate something. It’s not about asking questions about what happened in the past.”

Canvas Worldwide: A data-driven media business

Continuing this month’s data theme, we also spoke with Alisa Ben, SVP, Head of Analytics at full-service media agency Canvas Worldwide. Data has transformed the organisation, and what its clients do. “We look holistically at the client’s business and sometimes the tools we have might be right for them, sometimes not. It’s more about helping our clients achieve their business outcomes.”

TUI Musement: from digital transformation to digital pioneer

At travel giant TUI, handling data effectively is paramount when communicating consistently and meaningfully with up to 25 million customers annually. David Garcia, CIO for TUI Musement, talks about the tech evolution driving the travel giant’s provision of experiences, transfers and tours. It’s a big part of its operational shift from local to global. “As a CIO, I’ve always been interested in how the tech innovations we drive can support the business and add value.”

Hiscox: making cybersecurity more accessible

Liz Banbury, CISO at Hiscox and president of (ISC)² London Chapter, talks to us about how cybersecurity can become a more accessible, realistic career path for almost anybody. “When I was at school, topics like computer science didn’t even exist,” Banbury explains. “In one of my first jobs, over in Hong Kong, we were still using a typewriter! A lot has changed. My key point here is that there’s a lot of cybersecurity professionals who are really good at their job. They are inspiring, and have come from all walks of life. Crucially, they don’t have a maths, computer science, or technological background at all. But they still make great cybersecurity professionals.

Portland Community College: Risk vs Speed in Cybersecurity

Reet Kaur, former Chief Information Security Officer at Portland Community College, discusses the organisation’s transition to the cloud amid a digital transformation journey. I don’t want to work with people who just say yes all the time. I want my ideas challenged to help forge the excellence in the security programmes I help build.”

DBHDS: Cybersecurity in healthcare

The Virginia Department of Behavioral Health and Developmental Services (DBHDS) exists to create ‘a life of possibilities for all Virginians’ and transform behavioural health. Its focus is on supporting people across the entire commonwealth. It helps them get the support they need in order to take wellness and recovery into their own hands. In an area like healthcare, sensitive information is all over the place, meaning cybersecurity is a priority – and this is where Glendon Schmitz, CISO at DBHDS, comes in. The security team exists to help the wider organisation achieve its objectives with data. We’re there to protect the business, not the other way around.”

Also in this issue, we schedule the can’t miss tech events and get the lowdown on IoT security from the Mobile Ecosystem Forum.

Enjoy the issue!

Dan Brightmore, Editor

Welcome to issue 42 of CPOstrategy!

This month’s cover story sees us speak with Brad Veech, Head of Technology Procurement at Discover Financial Services.

CPOstrategy - Procurement Magazine

Having been a leader in procurement for more than 25 years, he has been responsible for over $2 billion in spend every year, negotiating software deals ranging from $75 to over $1.5 billion on a single deal. Don’t miss his exclusive insights where he tells us all about the vital importance of expertly procuring software and highlights the hidden pitfalls associated.

“A lot of companies don’t have the resources to have technology procurement experts on staff,” Brad tells us. “I think as time goes on people and companies will realise that the technology portfolio and the spend in that portfolio is increasing so rapidly they have to find a way to manage it. Find a project that doesn’t have software in it. Everything has software embedded within it, so you’re going to have to have procurement experts that understand the unique contracts and negotiation tactics of technology.” 

There are also features which include insights from the likes of Jake Kiernan, Manager at KPMG, Ashifa Jumani, Director of Procurement at TELUS and Shaz Khan, CEO and Co-Founder at Vroozi. 

Enjoy the issue! 

CPOstrategy-Magazine-41

Welcome to issue 41 of CPOstrategy!

This month’s exclusive cover story features a fascinating insight into the procurement function at lighting giant, Signify.

A forward-thinking enterprise constantly reevaluating and adapting its operations against an ever-changing landscape, Signify has recently transformed its procurement function. And so we join Luc Broussaud, Global Head of Procurement/CPO and Arnold Chatelain, Transformation Program Director for Signify’s Procurement Organization to see why, and how, they have evolved procurement at the company.

Signify is a global organisation spread over all continents and Luc heads up the procurement function. According to Luc, he and his team no longer engage in traditional transactional procurement, but instead leverage digitalisation to deliver competitive prices as well as what they call ‘concept saving’, “Which is how we redesign or improve our product; leveraging the knowledge of our suppliers to make it cheaper, more efficient, easier to manufacture and install, and more sustainable for the planet.”

CPOstrategy - Issue 41

Luc joined Signify in 2018, after being the CPO of Nokia (based in Shanghai) and has always been working within procurement. He joined Signify with a broad skillset and a wealth of experience. “I joined because the people I talked to, from the COO to the CEO and CFO were all incredibly knowledgeable and passionate about procurement,” he reveals. Read the full story here!

Not only that, but we also have some incredible insights from procurement leaders at Heijmans, Datadog, HICX, DPW, ProcureCon Asia and SourcingHaus Research! Plus, the very best procurement events of 2023.

Enjoy the issue!

We explore the transformation of sustainability in procurement & visions of a future where sustainability & procurement are fully integrated.

Dr Carsten Hansen, Founder of SourcingHaus Research and Consulting Group, explores the transformation of sustainability in procurement and envisions a future where sustainability and procurement are fully integrated and mainstreamed.

Mike Randall, CEO at Simply Asset Finance, discusses how to build a people-first strategy that enables growth.

As the UK economy continues to balance on the edge of a recession, employee retention is quickly being pushed to the top of CEOs’ lists. Over the past couple of years, the job market has shifted dramatically with previously unheard terms such as ‘the great resignation’, ‘quiet quitting’ and ‘hybrid working’ becoming commonplace. People are rightly prioritising their working situation and job satisfaction levels, questioning whether they believe in the organisations they are committing so much time to.

Consequently, there has been a power dynamic shift in favour of the workforce. Reportedly in the third quarter of 2022 businesses witnessed over 365,000 job-to-job resignations across the UK. In similar fashion, the phenomenon of ‘quiet quitting’ – doing the bare minimum required of a job – has become a growing concern but its rise is prompted by a growing number of employees feeling disengaged in their roles.

Against this backdrop of a highly turbulent job market, and increasingly difficult macro-economic pressures, it’s vital for CEOs to prioritise a people-first strategy to ensure healthy growth for their business in 2023. Data from Deloitte has even revealed that experts believe how engaged a workforce feels can directly correlate to overall business output, with 93% of HR and business leaders in agreement that building a sense of belonging is crucial for organisational performance.

Mike Randall, CEO at Simply Asset Finance

However, creating the right environment and recruiting, maintaining and nurturing the right talent to ensure a people first approach can be daunting. With this in mind, here are four learnings CEOs might want to consider when approaching this challenge:

1. Define your beliefs

Before CEOs and founders can hope to attract the right talent, it is critical to first distil and translate the business vision into something that can be understood by employees. Put simply, this means defining the business’ beliefs.

Some business leaders may already refer to this as an ‘employer brand’, and it can be key to not only securing better talent, but also saving a business money in the long-term. Data from LinkedIn for example, recently found that a strong employer brand can help to reduce employee turnover by as much as 28% and cost-per-hire by 50%. Defining these beliefs – or the tenets a business does and doesn’t stand for – is therefore the perfect exercise to put a vision onto paper, and clearly communicate it to its prospective talent.

2. Build a solid culture

Once these beliefs have been defined, they must be reflected, and built into a strong culture. A business’ beliefs should permeate through the whole organisation – from customer communications, to how staff are treated, to how leaders run the business. Culture should essentially be a representation of a business’ beliefs being put into practice.

Building a strong culture in a business, however, is not solely about these beliefs but also extends into how employees are equipped with the tools they need to succeed. Companies that invest in learning and development for example, have been found to benefit from a 24% higher profit margin than those that don’t, according to the Association of Talent Development. Training and development should therefore be seen as a worthwhile and necessary investment that can solidify your culture and ensure profitability, not just an unavoidable cost.

3. Invest in retention

With research from Oxford Economics estimating the average turnover per employee earning £25,000 a year to be £30,000 plus, there is an evident cost to businesses that fail to invest in retention. Tackling this will mean regularly taking the time to truly understand what makes employees tick – and more specifically, understanding their motivations, attitudes, behaviours, strengths and weaknesses.

As the past few years have evidenced, individuals are no longer deciding where they work solely based on salary, but are also thinking about employer values, flexibility, and benefits. To avoid employee churn, businesses should regularly take time to understand what drives their employees and implement retention strategies to address these drivers. Gathering and analysing employee data will play an important role here over the coming years, and should be built into a long-term strategy to optimise employee satisfaction.

4. Build for the future

A common challenge encountered by modern businesses and startups wanting to take a people first approach, can be their ability to stay committed to it. As a business grows in size and becomes successful, it can be all too easy to let external factors dictate its purpose and for it to lose sight of what it initially stood for. The reality is that when this happens, a business is in its most vulnerable state – as its beliefs become increasingly distant, and worse, employees no longer understand what it stands for.

When creating a people-first strategy its therefore important to think long-term. If there are external factors that will potentially put this strategy at risk in future, it’s crucial to identify them, and put in practical steps to mitigate them where possible. The pandemic, for example, is a prime example of an external factor that interrupted the status quo of many businesses – disrupting employees, customers and operations in general. While they can be unpredictable in nature, having a plan to get through these times can help to get you back on track and reassure talent that a solution is in place.

In this economic climate, defining beliefs, building a solid culture, and retention plan should be at the core of every business’ strategy. It’s only when these things are in place that a business can hope to attract and retain talented people that exude the same passion and values built into the heart of a business. As while a business’ growth may be defined by its leaders, it is delivered by its people who are putting that vision into practice.

Mike Randall, CEO at Simply Asset Finance.

Procurement is in a state of flux. Against a backdrop of economic uncertainty, the procurement landscape is volatile and requires…

Procurement is in a state of flux.

Against a backdrop of economic uncertainty, the procurement landscape is volatile and requires agility to navigate turbulent waters. But, despite significant disruption could there still be opportunity?

Simon Whatson, Vice President of Efficio Consulting, is optimistic about the future of digital procurement and despite a challenging few years he is confident of a successful bounce back. He gives us the lowdown on the direction of travel for digital procurement in 2023. 

As an executive with considerable experience in the space, we’d love to learn more about your background and how you ended up in procurement. Why was this the specialism for you and how did you get involved to begin with?

Simon Whatson (SW): “I think the one-word answer of how I came into procurement was accidental. I studied maths at university, with a year in France, before I began looking for different roles to apply for.

“Eventually, I was offered a position with a big plumbing and heating merchant with global operations. I worked in that supply chain team for two and a half years. Although it was called supply chain, a lot of the work was procurement, which involved negotiating with suppliers. It was after that stint there, that I discovered consulting and joined a boutique procurement consultancy. Now I am onto my third consultancy and I’m very happy here!

“In terms of why I’ve stayed, one of the success factors in procurement is being able to work cross-functionally. Procurement doesn’t own any of the spending that it is responsible for helping to optimise. It must work with other functions and the spend owners. I quite like the people side of that, building relationships, almost selling internally to bring teams together. That really appeals to me and is a key reason why I’ve been very happy in procurement.”

As we move into exploring procurement today in 2023. The space is filled with challenges and complexities. You only need to look at the last few years. Covid, war in Ukraine, inflation – how would you describe the world’s recent challenges and their effect on the industry and what do you feel CPOs and leaders can do to combat these issues?

SW: “I would flip it around and say that these are not so much challenges but rather opportunities for procurement. When I started my career 18 years ago, procurement was often fighting to get a voice and there were complaints that procurement was not represented at the top table, but the war in Ukraine, inflation, COVID and ESG, these are things which are now on the C-suite agenda and procurement is ideally positioned to help companies face those challenges. If you think about COVID and the war in Ukraine, procurement is in a privileged position to help with this.

“I see some procurement functions that prefer to do what they know, which focuses on the process and transactional side. However, there are also many forward-thinking CPOs and procurement professionals out there, that have really seized this opportunity of being on the C-suite agenda and drive the thinking and the solutions to some of these big challenges we’re seeing.”

Although new technology in procurement has been around for well over a decade, digitalisation has become so much more of an important topic. How would you sum up where procurement and supply chain are in terms of digital transformation today?

SW: “It’s a bit laggard, but digital transformation is difficult, and we have to recognise there are some real trailblazers. There are some firms doing some fantastic things in digital to produce better outcomes. If you contrast your experience when you’re buying something in your private life, it’s much easier than 20 years ago. You can get access to a wealth of pre-sourced things, whether it’s food, a holiday, a car, or a book. You can see reviews of what other people think of these things.

“But when you go into your workplace as a business user and you want to buy something, it doesn’t quite work like that yet. You often have to fill in a form, send it off and wait for them to come back to you. They might come back a little bit later than you were hoping and might tell you that they don’t have that part on the supply frameworks. I think people sometimes get confused about how it can be so easy to buy something as large as a car or a holiday on their sofa at home, but when they want to buy something at work, it seems to be quite cumbersome. Digital can help a lot with that, but it is incumbent on organisations and procurement functions to figure out how to recreate that customer experience that we’ve become accustomed to in our private lives.”

With a new generation of leaders growing up with technology, some might say that it could be a key driver in helping to speed the adoption in procurement along. Is this something you would agree with or what would you point to as a key driver?

SW: “I do think that it will act as one of the catalysts for further digital transformation in organisations, because if procurement doesn’t manage to recreate that customer experience that the new generation expects, then they won’t use procurement going forward and will look to bypass it.

“The analogy that I’ve used previously in this case is one of travel agents. I remember as a child, my parents were able to take us on holiday and I remember the whole process. We would walk into town to the travel agent, and look at some of the brochures of options. They often then had to phone the various airlines or resorts on our behalf. They might not be able to get through, so we’d have to come back the next day. I remember as a child being quite excited by the whole process but actually, thinking back, it was quite cumbersome. You compare that to now, with being able to review online, and you can get instant answers to your questions. It’s not a coincidence that travel agents don’t really exist anymore.”

How much of a challenge is it to not get caught leveraging technology for technologies sake? How important is it to stay true to your approach and be strategic?

SW: “We conducted a study of many procurement leaders and CPOs a few years ago, and one of the things that we found was that about 50% of procurement leaders admitted to having bought technology just on the basis of a fear of missing out, without any real understanding of the benefits that technology was going to bring. That was a real shock and a revealing find because technology is not cheap, and its implementation is quite disruptive. If you’re purchasing a system because everybody else is using it, then there could be some pretty costly mistakes. It is really important to make sure that when buying technology, it is because the benefits are fully understood.

“My advice to companies when looking to digitalise is own your data, visualise that data, and manage your knowledge. If you can focus on getting those things right in that order, and make your technology decisions to support that goal, then that’s a much better way of thinking about it rather than just jumping in and buying a piece of technology.”

It’s clear that the procurement space is an exciting, but challenging, place to be. What do you think will play a key role in the next 12 months to push the digital conversation further to take procurement to the next level?

SW: “Looking forward, one thing that procurement needs to do and continue to do is attract the best people. Ultimately, people are what makes an organisation, and it is what makes a function successful. I think procurement has often not looked for the right skills in the people that it employs. Traditionally, it’s looked for people with procurement experience and while they are valuable and required, we also need leadership potential. People who think a bit more outside the box and aren’t so process driven. A lot of what procurement has done in previous years has been process driven, so if you’re just limiting your search of people to those that have had procurement experience, you’re inevitably going to end up with a lot of people who are process driven.

“I think being bolder and recruiting people from different backgrounds with different skill sets is the way to go. If procurement can ‘own’ the ESG space, that will help with the younger generation see procurement make a difference. I think that’s one thing that will be key to success going forward.”

Check out the latest issue of CPOstrategy Magazine here.

Paul Farrow, Vice President of Hilton Hotels’ Supply Management, sits down with us to discuss how his organisation’s procurement function has evolved amid disruption on a global scale

The hospitality industry has endured a rough ride over the past few years.

Following the COVID-19 pandemic which stopped the world in its tracks and now with millions facing a cost-of-living crisis, it’s been a period of unprecedented disruption for those involved in the space and beyond.

But it’s a challenge met head-on by Paul Farrow, Vice President of Supply Management at Hilton Hotels, and his team who have been forced to respond as the world continues to shift before their eyes.

Farrow gives us a closer look into the inner workings of his firm’s procurement function and how he has led the charge during his time with Hilton Hotels.

Could we start with you introducing yourself and talking a little about your role at Hilton Hotels? 

Paul Farrow (PF): “I’m the Vice President of Hilton’s Supply Management, or HSM as we call it. I’ve been with Hilton Hotels for 12 and a half years, and my role is to head the supply chain function for our hotels across Europe, the Middle East and Africa.

“Over the past few years, Hilton has grown rapidly and has now got 7,000 hotels in over 125 countries globally. What is really exciting is Hilton Supply Management doesn’t just supply Hilton Hotels and the Hilton Engine because we also now supply our franchisees and competitive flags. While we have 7,000 hotels globally, Hilton Supply Management actually supplies close to 13,000 hotels. That’s an interesting business development for us, and a profit earner too.”

You’re greatly experienced, I bet you’ve seen supply chain management and procurement change a lot in recent years? 

PF: “The past two to three years have been tremendously challenging on so many industries but I’d argue that hospitality got hit more than most as a result of the Covid pandemic. Here at Hilton, supply management was really important just to keep the business operational throughout that tough time, but I’m delighted to say we’re fully recovered now.

“Looking back, it was undoubtedly difficult, and you only have to look at the media to see that we’re now going through a period of truly unprecedented inflation. On top of the normal day job, it’s certainly been a very busy time.”

Hospitality must have been under an awful lot of pressure during the pandemic… 

PF: “Most of our teams as a business and all functions have worked together far more collaboratively than ever before through the use of technology and things like Microsoft Teams and Zoom. Trying to work remotely as effectively as possible changed the way we all had to think and the way we had to do. Now we’re back in the workplace and in our offices, we’re actually looking to take advantage of that new approach.”

Inflation, rising costs, energy shortages, as well as drives towards a circular economy means it’s quite a challenging time for CSCOs and CPOs right now, isn’t it?

PF: “Those headwinds have caused and created challenges of the like that we’ve not seen before. The war in Ukraine and Russia has meant significant supply chain disruption and supply shortages of some key ingredients and raw materials. China is a significant source of materials and they’re still having real challenges to get their production to keep up with demand.

“All the local and short-term challenges are around energy and fuel pricing, so throughout the supply chain that’s been a major factor to what we’ve had to deal with. On top of that is the labour shortages. We rely heavily throughout the supply chain and within our business to utilise labour from around the world. In my region, particularly from say Eastern Europe as well as other businesses all fighting for a smaller labour pool than we had before. We are fighting with the likes of the supermarkets, Amazon’s, not just other hotel companies to capture the labour pool we need both in our properties but also within our supply chain supplies themselves.

Hilton operates a rather unique procurement function, doesn’t it?  

PF: “We trade off the Hilton name because our brand strength is something that we are able to utilise and we’re very proud of, but we’ve also got additional leverage by having that group procurement model.

“We’ve got essentially two clients. We’ve got our managed estate which is when an owner chooses to partner with Hilton, they’re signing a management agreement because they want the benefit and value of the Hilton engine. That could be revenue management, how we manage onboarding clients and customers through advertising, as well as the other support we give in terms of finance, HR, marketing and sales as well as procurement.”

HSM is a profit centre and revenue driver through its group procurement model but how does this work?

PF: “Our secret sauce is our culture. It’s our people and that filters across all of our team members and indeed all of our functions. The key strategic pillars are the same for health and supply management around culture, maximising performance and so on as they are across the overall global business.

“Across our 7,000 plus hotels, the majority are actually franchised hotels because that’s the legacy of what still is the model in the US. When I joined Hilton 12 and a half years ago, the reverse is true where nearly all of our hotels in Europe, Middle East and Africa, and indeed in Asia Pacific, were and are managed. In the Europe, Middle East and Africa regions right now we’re building up close to a 50/50 split between managed, leased and franchised.”

What has pleased you most about the roll-out of the HSM?

PF: “It’s certainly not been easy because we’ve got 70 countries that sit within our region here in EMEA and Hilton’s penetration in those individual countries is very different. We may have 100 hotels in one of those markets and only one or two in specific countries. Our scale and our ability to get logistics solutions is different by market.

“Getting everyone on board to what we want to achieve to our guests and to our owners means we have to pull different levers. We have very effective brand standards. If you’re signing up to Hilton, you’re signing up to delivering against those brand standards that we believe are right for our organisation.”

What kind of feedback have you had from your clients? 

PF: “Integrity is in our DNA, and we work very closely with our suppliers who we value as partners. These are long-term relationships, and we work hand in hand because we have to see that they’re successful so that we can be successful – it’s really important to what we do and we constantly look for feedback.

“With our internal and our external customers, we’ll have quarterly business reviews and so we’ll get that feedback through surveys where we are asking them to tell us what we do well and what we could do better. Our partners are now asking what additional value can you do to bring support to our organisation through ESG? So that’s what’s on the table now when it wasn’t before. But it’s not just that – it’s about the security of supply competitiveness, competitiveness of pricing, and a whole bunch of other very important things as well.”

Looking to the future, what’s on the agenda for the next few years?

PF: “We’re out there meeting and greeting people in person and there’s always new opportunities that make things exciting in what we do and how we work. Innovation’s very high on our agenda and we’re very proud of what we do in food and beverage. In non-food categories, it’s about how we support our owners and our hotel general managers to find that competitive edge and do the next big thing ahead of our competitors.”

Anything else important to know?

PF: “One thing we’ve been able to take full advantage of is how we’ve been able to grow our business by bolting on new customers. I think it’s fantastic that our competitors choose to use Hilton Supply Management because they benchmarked what our capabilities are and how competitive we are.

“Another key part of the agenda is environmental, social and governance (ESG) sustainability. Responsible sourcing and everything that sits within that is front and centre of what we do. Within that you’ve got human rights, animal welfare, single use plastics as well as general responsible sourcing like managing food waste. The list is very long, but they’re all very important.”

Check out the latest issue of CPOstrategy Magazine here.

Here are 10 of the most important leadership skills that CEOs need to demonstrate in 2023.

In today’s world, a CEO needs to be lots of things to different people. The importance of having the leadership skill to being able to lead through unprecedented disruption was highlighted by the COVID-19 pandemic and helped to define what makes a good CEO.

Here are 10 of the most important leadership skills that CEOs need to demonstrate in 2023.


1. Clear communication

Communicating effectively with employees is one of the most vital skills any leader can have. By adopting a transparent mindset, it leaves little room for miscommunication or misunderstandings. But rather than just being eloquent, CEOs should deliver meaningful content too. A CEO needs to be able to communicate the essence of the business strategy and the methodology for achieving it.

2. Strong talent management strategy

People are the most important component of all businesses. CEOs who are able to recruit and retain key employees have a greater chance of increasing productivity and efficiency. After recruiting good people, the key to retaining them is by harnessing a positive work environment that empowers employees to succeed.

3. Decision-making

As a leader, thinking strategically to make effective decisions is vital to the success of an organisation. Making decisions is a key part of leadership as well as having the conviction to stand by decisions or agility to adapt when those decisions don’t have the required outcome. While all decisions might not be favourable, making unpopular but necessary calls are important characteristics of a good leader.

4. Negotiation

Negotiation is a fundamental part of being a CEO. In a top leadership position, almost every business conversation will be a negotiation. Good negotiations are important to an organisation because they will ultimately result in better relationships, both with staff inside the company and externally. An effective leader will also help find the best long-term solution by finding the right balance and offering value where both parties feel like they ‘win’.

5. Creativity and innovation

Being quick-thinking and ready to explore new options are great skills of a CEO. Creative leadership can lead to finding innovative solutions in the face of challenging and changing situations. It means in the midst of disruption, of which it has been increasingly prevalent, leaders can still find answers for their teams. Creative CEOs are those who take risks and empower employees to drop outdated and overused practices to innovate and try new things that could lead to greater efficiency.

6. Agility

Without agility over the past few years, businesses would have failed. CEOs were forced to embrace remote working following the advent of the COVID-19 pandemic whether they liked it or not. Now, faced against a potential recession, these macroeconomic events are unavoidable and have to be managed carefully. Effective leaders will have their fingers on the pulse and ready to respond to changes.

7. Strategic forecasting

Creating a clear path forward is essential to achieving uninterrupted success. The ability to look into the future and identify trends and issues to then react to is vital. Good CEOs are able to plan strategically and make informed decisions to set goals and plan for the future easily.

8. Delegation

CEOs can’t do everything. A leader tends to be pulled in a number of different ways every day and it is impossible to be on top of everything. This means the importance of bringing in a team of people who are trusted and skilled in their respective areas of expertise. Successful CEOs are expert delegators because they recognise the value of teamwork and elevating those around them.

9. Approachability

An approachable CEO who welcomes conversation and is an active listener will help employees feel at ease raising issues or concerns. This approach will help build strong relationships with staff and customers and encourage a healthy culture which is beneficial to employee retention. Leaders with strong, trusting and authentic relationships with their teams know that investing time in building these bonds which makes them more effective as a leader and creates a foundation for success.

10. Growth mindset

If a CEO arms themselves with a growth mindset it allows them to meet challenges head-on and evolve. This shines a light on improving through effort, learning and persistence. As others may back down in the face of adversity and upheaval, successful CEOs will strive to move forward with confidence. Those with a growth mindset are unlikely to be swayed as they have the tools needed to reframe challenges as opportunities to grow.

In McKinsey’s latest report ‘Actions the best CEOs are taking in 2023’, we examine three of the biggest trends on the c-level agenda

Anyone can sail a ship when things are going well. But it takes a strong, robust and characterful CEO to steer a business through choppy waters and out the other side.

In McKinsey’s latest report ‘Actions the best CEOs are taking in 2023’, the research and advisory firm uncovered which trends are set to have the biggest impact on how CEOs lead their business throughout the year.

McKinsey’s CEO Excellence Survey surveyed 200 of the best corporate CEOs of the past 15 years. This was completed by whittling down a list of all the current and former CEOs of the 1,000 largest public companies during that timeframe. The list was subsequently filtered based on tenure, including only those who had completed at least six years in the role. From there, the CEOs were continuously shortlisted until the best 200 were determined.

Each CEO was asked to identify the top three trends that are set to determine how leaders tackle the future. Here is an insight into those findings.

1. Actions to deal with digital disruption

CEOs are targeting digital trends in three key ways: developing advanced analytics, enhancing cybersecurity and automating work. OpenAI’s launch of ChatGPT has accelerated the demand of companies looking to embrace advanced analytics for a competitive advantage. Improving cybersecurity is another key action for CEOs with the importance of guarding against external threats paramount amid strengthening and more mature cyberattacks. Lastly, automating work is another key priority to scale efficiency and eliminate boring and manual tasks which free up people’s time.

2. Actions to deal with the risk of high inflation and economic downturn

One CEO who is worried about economic uncertainty told McKinsey: “Act early to lower costs and protect the balance sheet so that you are stronger and leaner when the economy begins to turn more favourably.” McKinsey found that companies that outperformed the 2008 financial crisis cut operating costs by 1% before the downturn while the others expanded costs by the same percentage. The best performers reduced their debt by $1 for every $1 of book capital before the downturn. This can be done by reducing operating expenses, redesigning products and services as well as reassessing strategic and economic assumptions.

3. Actions to deal with the escalation of geopolitical risk

According to McKinsey, there are three actions to help manage the escalation of global and national crises. CEOs are targeting building robust compliance capabilities, creating resilience in supplier networks and investing in monitoring and response capabilities. These actions come following the challenges presented by COVID-19, the war in Ukraine and now inflation concerns. Many firms are choosing to build their trade compliance organisations and improve how they screen different customers and companies. While a defensive approach is the way forward for many, some companies see the turbulent times as an opportunity.

What does today’s CEO need to do to accelerate an organisation’s digital transformation journey?

Digital transformation journeys are no one-size-suits-all. There is no singular way to welcome a new wave of technology into operations.

Since the turn of the century, digitalisation has had an increasingly influential impact on the way CEOs make decisions. Today’s world is full of disruption and potential risk. And with technology growing in complexity it can be challenging to lead such a revolution against a backdrop of economic uncertainty.

Embracing digital

According to KPMG 2022 CEO Outlook, which draws on the perspectives of 1,325 global CEOs across 11 markets, 72% of CEOs agree they have an aggressive digital investment strategy intended to secure first-mover or fast-follower status.

Advancing digitalisation and connectivity across the business is tied (along with attracting and retaining talent) as the top operational priority to achieve growth over the next three years. This digital transformation focus could be driven as a result of increasingly flexible working conditions and greater focus on cybersecurity threats.

However, the prospect of recession is threatening to halt digital transformation in the short-term. KPMG research found that four out of five CEOs note their businesses are pausing or reducing their digital transformation strategies to prepare for the anticipated recession.

This is reinforced further when 70% say they need to be quicker to shift investment to digital opportunities and divest in those areas where they face digital obsolescence.

When a company’s digital transformation ambition is mismatched to its readiness, it is the CEO’s responsibility to close the gap. According to Deloitte, in order to do this successfully, the CEO must assess the current level of organisational readiness for change.

This covers four key pillars that are mixed together to work out an organisation’s overall readiness: leadership, culture, structure and capabilities.

How CEOs can close the gap

Leadership: CEOs need to ensure their c-suite and other key executives are motivated and equipped to execute the vision. CEOs interviewed by Deloitte in a recent study emphasised the importance of the leadership team supporting the transformation vision and having a positive attitude and willingness to transform.

Culture: A large potential barrier to readiness in the organisation is down to culture. Low cultural readiness takes the form of bureaucratic, reactive and risk-averse ways of working that are at against the collaborative, proactive learning mindset needed for ambitious transformation.

Structure: If a company hopes to operate differently, it could mean the need for organising in an alternative way. CEOs will often need to lead the reorganisation of teams, assignment of new roles, revision of incentives, strategies to collapse organisational hierarchies or layers to increase agility.

Capabilities: CEOs need to equip their organisation with four key capabilities to harness digital for a superior capacity for change. These are nimbleness, scalability, stability and optionality which are often enabled or supercharged by digital technologies which are critical factors for competing in an increasingly disrupted world.

For now, one of the CEOs most important roles when steering the ship through disruption is to be ahead of the latest trends and tackle change head-on. By embracing a new digital future that will provide the company with long-lasting benefits, it will help create a brighter and future-proofed firm for years to come even after the CEO is gone.

Expert analysis of the tech trends set to make waves this year

Digital transformation is a continuing journey of change with no set final destination. This makes predicting tomorrow a challenge when no one has a crystal ball to hand.

After a difficult few years for most businesses following a disruptive pandemic and now battling a cost-of-living crisis, many enterprises are increasingly leveraging new types of technology to gain an edge in a disruptive world. 

With this in mind, here are what experts predict for the next 12 months…


1. Process Mining


Sam Attias, Director of Product Marketing at Celonis

Sam Attias, Director of Product Marketing at Celonis, expects to see a rise in the adoption of process mining as it evolves to incorporate automation capabilities. He says process mining has traditionally been “a data science done in isolation” which helps companies identify hidden inefficiencies by extracting data and visually representing it.

“It is now evolving to become more prescriptive than descriptive and will empower businesses to simulate new methods and processes in order to estimate success and error rates, as well as recommend actions before issues actually occur,” says Attias. “It will fix inefficiencies in real-time through automation and execution management.”


2. The evolution of social robots


Gabriel Aguiar Noury, Robotics Product Manager at Canonical

Gabriel Aguiar Noury, Robotics Product Manager at Canonical, anticipates social robots to return this year. After companies such as Sony introduced robots like Poiq, Aguiar Noury believes it “sets the stage” for a new wave of social robots. 

“Powered by natural language generation models like GPT-3, robots can create new dialogue systems,” he says. “This will improve the robot’s interactivity with humans, allowing robots to answer any question. 

3d rendering cute artificial intelligence robot with empty note

“Social robots will also build narratives and rich personalities, making interaction with users more meaningful. GPT-3 also powers Dall-E, an image generator. Combined, these types of technologies will enable robots not only to tell but show dynamic stories.”


3. The rebirth of new data-powered business applications


In today’s fast-moving world, technology doesn’t sleep. Through the help of experts, we’ve compiled a need-to-know list of 23 predictions for 2023

Christian Kleinerman, Senior Vice President of Product at Snowflake, says there is the beginning of a “renaissance” in software development. He believes developers will bring their applications to central combined sources of data instead of the “traditional approach” of copying data into applications. 

“Every single application category, whether it’s horizontal or specific to an industry vertical, will be reinvented by the emergence of new data-powered applications,” affirms Kleinerman. “This rise of data-powered applications will represent massive opportunities for all different types of developers, whether they’re working on a brand-new idea for an application and a business based on that app, or they’re looking for how to expand their existing software operations.”


4. Application development will become a two-way conversation


Adrien Treuille, Head of Streamlit at Snowflake

Adrien Treuille, Head of Streamlit at Snowflake, believes application development will become a two-way conversation between producers and consumers. It is his belief that the advent of easy-to-use low-code or no-code platforms are already “simplifying the building” and sharing of interactive applications for tech-savvy and business users. 

“Based on that foundation, the next emerging shift will be a blurring of the lines between two previously distinct roles — the application producer and the consumer of that software.”

He adds that application development will become a collaborative workflow where consumers can weigh in on the work producers are doing in real-time. “Taking this one step further, we’re heading towards a future where app development platforms have mechanisms to gather app requirements from consumers before the producer has even started creating that software.”


5. The Metaverse


Paul Hardy, EMEA Innovation Officer at ServiceNow

Paul Hardy, EMEA Innovation Officer at ServiceNow, says he expects business leaders to adopt technologies such as the metaverse in 2023. The aim of this is to help cultivate and maintain employee engagement as businesses continue working in hybrid environments, in an increasingly challenging macro environment.

“Given the current economic climate, adoption of the metaverse may be slow, but in the future, a network of 3D virtual worlds will be used to foster meaningful social connections, creating new experiences for employees and reinforcing positive culture within organisations,” he says. “Hybrid work has made employee engagement more challenging, as it can be difficult to communicate when employees are not together in the same room. 

“Leaders have begun to see the benefit of hosting traditional training and development sessions using VR and AI-enhanced coaching. In the next few years, we will see more workplaces go a step beyond this, for example, offering employees the chance to earn recognition in the form of tokens they can spend in the real or virtual world, gamifying the experience.”


6. The year of ESG?


Cathy Mauzaize, Vice President, EMEA South, at ServiceNow

Cathy Mauzaize, Vice President, EMEA South, at ServiceNow, believes 2023 could be the year that environmental, social and corporate governance (ESG) is vital to every company’s strategy.

“Failure to engage appropriate investment in ESG strategies could plunge any organisation into a crisis,” she says. “Legislation must be respected and so must the expectations of employees, investors and your ecosystem of partners and customers.

“ESG is not just a tick box, one and done, it’s a new way of business that will see us through 2023 and beyond.”


7. Macro Trends and Redeploying Budgets for Efficiency


Ulrik Nehammer, President, EMEA at ServiceNow, says organisations are facing an incredibly complex and volatile macro environment. Nehammer explains as the world is gripped by soaring inflation, intelligent digital investments can be a huge deflationary force.

“Business leaders are already shifting investment focus to technologies that will deliver outcomes faster,” he says. “Going into 2023, technology will become increasingly central to business success – in fact, 95% of CEOs are already pursuing a digital-first strategy according to IDC’s CEO survey, as digital companies deliver revenue growth far faster than non-digital ones.”  


8. Organisations will have adopted a NaaS strategy


David Hughes, Aruba’s Chief Product and Technology Officer

David Hughes, Aruba’s Chief Product and Technology Officer, believes that by the end of 2023, 20% of organisations will have adopted a network-as-a-service (NaaS) strategy.

“With tightening economic conditions, IT requires flexibility in how network infrastructure is acquired, deployed, and operated to enable network teams to deliver business outcomes rather than just managing devices,” he says. “Migration to a NaaS framework enables IT to accelerate network modernisation yet stay within budget, IT resource, and schedule constraints. 

“In addition, adopting a NaaS strategy will help organisations meet sustainability objectives since leading NaaS suppliers have adopted carbon-neutral and recycling manufacturing strategies.”


9. Think like a seasonal business


According to Patrick Bossman, Product Manager at MariaDB corporation, he anticipates 2023 to be the year that the ability to “scale out on command” is going to be at the fore of companies’ thoughts.

“Organisations will need the infrastructure in place to grow on command and scale back once demand lowers,” he says. “The winners in 2023 will be those who understand that all business is seasonal, and all companies need to be ready for fluctuating demand.”


10. Digital platforms need to adapt to avoid falling victim to subscription fatigue


Demed L’Her, Chief Technology Officer at DigitalRoute

Demed L’Her, Chief Technology Officer at DigitalRoute, suggests what the subscription market is going to look like in 2023 and how businesses can avoid falling victim to ‘subscription fatigue’.  L’Her says there has been a significant drop in demand since the pandemic.

“Insider’s latest research shows that as of August, nearly a third (30%) of people reported cancelling an online subscription service in the past six months,” he reveals. “This is largely due to the rising cost of living experienced globally that is leaving households with reduced budgets for luxuries like digital subscriptions. Despite this, the subscription market is far from dead, with most people retaining some despite tightened budgets. 

“However, considering the ongoing economic challenges, businesses need to consider adapting if they are to be retained by customers in the long term. The key to this is ensuring that the product adds value to the life of the customer.”


11. Waking up to browser security 


Jonathan Lee, Senior Product Manager at Menlo Security

Jonathan Lee, Senior Product Manager at Menlo Security, points to the web browser being the biggest attack surface and suggests the industry is “waking up” to the fact of where people spend the most time.

“Vendors are now looking at ways to add security controls directly inside the browser,” explains Lee. “Traditionally, this was done either as a separate endpoint agent or at the network edge, using a firewall or secure web gateway. The big players, Google and Microsoft, are also in on the act, providing built-in controls inside Chrome and Edge to secure at a browser level rather than the network edge. 

“But browser attacks are increasing, with attackers exploiting new and old vulnerabilities, and developing new attack methods like HTML Smuggling. Remote browser isolation is becoming one of the key principles of Zero Trust security where no device or user – not even the browser – can be trusted.”


12. The year of quantum-readiness


Tim Callan, Chief Experience Officer at Sectigo

Tim Callan, Chief Experience Officer at Sectigo, predicts that 2023 will be the year of quantum-readiness. He believes that as a result of the standardisation of new quantum-safe algorithms expected to be in place by 2024, this year will be a year of action for government bodies, technology vendors, and enterprise IT leaders to prepare for the deployment.

“In 2022, the US National Institute of Standards and Technologies (NIST) selected a set of post-quantum algorithms for the industry to standardise on as we move toward our quantum-safe future,” says Callan.

“In 2023, standards bodies like the IETF and many others must work to incorporate these algorithms into their own guidelines to enable secure functional interoperability across broad sets of software, hardware, and digital services. Providers of these hardware, software, and service products must follow the relevant guidelines as they are developed and begin preparing their technology, manufacturing, delivery, and service models to accommodate updated standards and the new algorithms.” 


13. AI: fewer keywords, greater understanding


AI expert Dr Pieter Buteneers, Director of AI and Machine Learning at Sinch

AI expert Dr Pieter Buteneers, Director of AI and Machine Learning at Sinch, expects artificial intelligence to continue to transition away from keywords and move towards an increased level of understanding.

“Language-agnostic AI, already existent within certain AI and chatbot platforms, will understand hundreds of languages — and even interchange them within a single search or conversation — because it’s not learning language like you or I would,” he says. “This advanced AI instead focuses on meaning, and attaches code to words accordingly, so language is more of a finishing touch than the crux of a conversation or search query. 

“Language-agnostic AI will power stronger search results — both from external (the internet) and internal (a company database) sources — and less robotic chatbot conversations, enabling companies to lean on automation to reduce resources and strain on staff and truly trust their AI.”


14. Rise in digital twin technology in the enterprise


John Hill, CEO and Founder of Silico

John Hill, CEO and Founder of Silico, recognises the growing influence digital twin technology is having in the market. Hill predicts that in the next 20 years, there will be a digital twin of every complex enterprise in the world and anticipates the next generation of decision-makers will routinely use forward-looking simulations and scenario analytics to plan and optimise their business outcomes.

“Digital twin technology is one of the fastest-growing facets of industry 4.0 and while we’re still at the dawn of digital twin technology,” he explains. “Digital twins will have huge implications for unlocking our ability to plan and manage the complex organisations so crucial for our continued economic progress and underpin the next generation of Intelligent Enterprise Automation.”


15. Broader tech security


Tricentis CEO, Kevin Thompson

With an exponential amount of data at companies’ fingertips, Tricentis CEO, Kevin Thompson says the need for investment in secure solutions is paramount.

“The general public has become more aware of the access companies have to their personal data, leading to the impending end of third-party cookies, and other similar restrictions on data sharing,” he explains. “However, security issues still persist. The persisting influx of new data across channels and servers introduces greater risk of infiltration by bad actors, especially for enterprise software organisations that have applications in need of consistent testing and updates. The potential for damage increases as iterations are being made with the expanding attack surface. 

“Now, the reality is a matter of when, not if, your organisation will be the target of an attack. To combat this rising security concern, organisations will need to integrate security within the development process from the very beginning. Integrating security and compliance testing at the upfront will greatly reduce risk and prevent disruptions.”


16. Increased cyber resilience 


Michael Adams, CISO at Zoom

Michael Adams, CISO at Zoom, expects an increased focus on cyber resilience over the next 12 months. “While protecting organisations against cyber threats will always be a core focus area for security programs, we can expect an increased focus on cyber resilience, which expands beyond protection to include recovery and continuity in the event of a cyber incident,” explains Adams.

“It’s not only investing resources in protecting against cyber threats; it’s investing in the people, processes, and technology to mitigate impact and continue operations in the event of a cyber incident.” 


17. Ransomware threats


Michal Salat, Threat Intelligence Director at Avast

As data leaks become increasingly common place in the industry, companies face a very real threat of ransomware. Michal Salat, Threat Intelligence Director at Avast, believes the time is now for businesses to protect themselves or face recovery fees costing millions of dollars.

“Ransomware attacks themselves are already an individual’s and businesses’ nightmare. This year, we saw cybergangs threatening to publicly publish their targets’ data if a ransom isn’t paid, and we expect this trend to only grow in 2023,” says Salat. “This puts people’s personal memories at risk and poses a double risk for businesses. Both the loss of sensitive files, plus a data breach, can have severe consequences for their business and reputation.”


18. Intensified supply chain attacks 


Dirk Schrader, VP of security research at Netwrix

Dirk Schrader, VP of security research at Netwrix, believes supply chain attacks are set to increase in the coming year. “Modern organisations rely on complex supply chains, including small and medium businesses (SMBs) and managed service providers (MSPs),” he says.

“Adversaries will increasingly target these suppliers rather than the larger enterprises knowing that they provide a path into multiple partners and customers. To address this threat, organisations of all sizes, while conducting a risk assessment, need to take into account the vulnerabilities of all third-party software or firmware.”


19. A greater need to manage volatility 


Paul Milloy, Business Consultant at Intradiem, stresses the importance of managing volatility in an ever-moving market. Milloy believes bosses can utilise data through automation to foresee potential problems before they become issues.

“No one likes surprises. Whilst Ben Franklin suggested nothing can be said to be certain, except death and taxes, businesses will want to automate as many of their processes as possible to help manage volatility in 2023,” he explains. “Data breeds intelligence, and intelligence breeds insight. Managers can use the data available from workforce automation tools to help them manage peaks and troughs better to avoid unexpected resource bottlenecks.”


20. A human AI co-pilot will still be needed


Artem Kroupenev, VP of Strategy at Augury, predicts that within the next few years, every profession will be enhanced with hybrid intelligence, and have an AI co-pilot which will operate alongside human workers to deliver more accurate and nuanced work at a much faster pace. 

“These co-pilots are already being deployed with clear use cases in mind to support specific roles and operational needs, like AI-driven solutions that enable reliability engineers to ensure production uptime, safety and sustainability through predictive maintenance,” he says. “However, in 2023, we will see these co-pilots become more accurate, more trusted and more ingrained across the enterprise. 

“Executives will better understand the value of AI co-pilots to make critical business decisions, and as a key competitive differentiator, and will drive faster implementation across their operations. The AI co-pilot technology will be more widespread next year, and trust and acceptance will increase as people see the benefits unfold.”


21. Building the right workplace culture


Harnessing a positive workplace culture is no easy task but in 2023 with remote and hybrid working now the norm, it brings with it new challenges. Tony McCandless, Chief Technology Officer at SS&C Blue Prism, is well aware of the role organisational culture can play in any digital transformation journey.

Workers are the heart of an organisation, so without their buy in, no digital transformation initiative stands a chance of success,” explains McCandless. “Workers drive home business objectives, and when it comes to digital transformation, they are the ones using, implementing, and sometimes building automations. Curiosity, innovation, and the willingness to take risks are essential ingredients to transformative digitalisation. 

“Businesses are increasingly recognising that their workers play an instrumental role in determining whether digitalisation initiatives are successful. Fostering the right work environment will be a key focus point for the year ahead – not only to cultivate buy-in but also to improve talent retention and acquisition, as labor supply issues are predicted to continue into 2023 and beyond.”


22. Cloud cover to soften recession concerns


Amid a cost-of-living crisis and concerns over any potential recession as a result, Daniel Thomasson, VP of Engineering and R&D at Keysight Technologies, says more companies will shift data intensive tasks to the cloud to reduce infrastructure and operational costs.

“Moving applications to the cloud will also help organisations deliver greater data-driven customer experiences,” he affirms. “For example, advanced simulation and test data management capabilities such as real-time feature extraction and encryption will enable use of a secure cloud-based data mesh that will accelerate and deepen customer insights through new algorithms operating on a richer data set. In the year ahead, expect the cloud to be a surprising boom for companies as they navigate economic uncertainty.”


23. IoT devices to scale globally


Dr Raullen Chai, CEO and Co-Founder of IoTeX, recognises a growing trend in the usage of IoT devices worldwide and believes connectivity will increase significantly. 

“For decades, Big Tech has monopolised user data, but with the advent of Web3, we will see more and more businesses and smart device makers beginning to integrate blockchain for device connectivity as it enables people to also monetise their data in many different ways, including in marketing data pools, medical research pools and more,” he explains. “We will see a growth in decentralised applications that allow users to earn a modest additional revenue from everyday activities, such as walking, sleeping, riding a bike or taking the bus instead of driving, or driving safely in exchange for rewards. 

“Living healthy lifestyles will also become more popular via decentralised applications for smart devices, especially smart watches and other health wearables.”

The digital landscape is changing day by day. Ideas like the metaverse that once seemed a futuristic fantasy are now…

The digital landscape is changing day by day. Ideas like the metaverse that once seemed a futuristic fantasy are now coming to fruition and embedding themselves into our daily lives. The thinking might be there, but is our technology really ready to go meta? Domains and hosting provider, Fasthosts, spoke to the experts to find out…

How the metaverse works

The metaverse is best defined as a virtual 3D universe which combines many virtual places. It allows users to meet, collaborate, play games and interact in virtual environments. It’s usually viewed and accessed from the outside as a mixture of virtual reality (VR), (think of someone in their front room wearing a headset and frantically waving nunchucks around) and augmented reality (AR), but it’s so much more than this…

These technologies are just the external entry points to the metaverse and provide the visuals which allow users to explore and interact with the environment within the metaverse. 

This is the ‘front-end’ if you like, which is also reinforced by artificial intelligence and 3D reconstruction. These additional technologies help to provide realistic objects in environments, computer-controlled actions and also avatars for games and other metaverse projects. 

So, what stands in the way of this fantastical 3D universe? Here are the six key challenges:

Technology

The most important piece of technology, on which the metaverse is based, is the blockchain. The blockchain is essentially a chain of blocks that contain specific information. They’re a combination of computers linked to each other instead of a central server which means that the whole network is decentralised. This provides the infrastructure for the development of metaverse projects, storage of data and also allows them the capability to be compatible with Web3. Web3 is an upgraded version of the internet which will allow integration of virtual and augmented reality into people’s everyday lives. 

Sounds like a lot, right? And it involves a great deal of tech that is alien to the vast majority of us. So, is technology a barrier to widespread metaverse adoption?

Jonothan Hunt, Senior Creative Technologist at Wunderman Thompson, says the tech just isn’t there. Yet.

“Technology’s readiness for the mass adoption of the metaverse depends on how you define the metaverse, but if we’re talking about the future vision that the big tech players are sharing, then not yet. The infrastructure that powers the internet and our devices isn’t ready for such experiences. The best we have right now in terms of shared/simulated spaces are generally very expensive and powered entirely in the cloud, such as big computers like the Nvidia Omniverse, cloud streaming, or games. These rely heavily on instancing and localised grouping. Consumer hardware, especially XR, is still not ready for casual daily use and still not really democratised.

“The technology for this will look like an evolution of the systems above, meaning more distributed infrastructure, better access and updated hardware. Web3 also presents a challenge in and of itself, and questions remain over to what extent big tech will adopt it going forward.”

Storage

Blockchain is the ‘back-end’, where the magic happens, if you will. It’s this that will be the key to the development and growth of the metaverse. There are a lot of elements that make up the blockchain and reinforce its benefits and uses such as storage capabilities, data security and smart contracts. 

Due to its decentralised nature, the blockchain has far more storage capacity than the centralised storage systems we have in place today. With data on the metaverse being stored in exabytes, the blockchain works by making use of unutilised hard disk space across the network, which avoids users within the metaverse running out of storage space worldwide. 

In terms that might be a bit more relatable, an exabyte is a billion gigabytes. That’s a huge amount of storage, and that doesn’t just exist in the cloud – it’s got to go somewhere – and physical storage servers mean land is taken up, and energy is used. Hunt says: “How long’s a piece of string? The whole of the metaverse will one day be housed in servers and data centres, but the amount or size needed to house all of this storage will be entirely dependent on just how mass adopted the metaverse becomes. Big corporations in the space are starting to build huge data centres – such as Meta purchasing a $1.1 billion campus in Toledo, Spain to house their new Meta lab and data centre – but the storage space is not the only concern. These energy-guzzlers need to stay cool! And what about people and brands who need reliable web hosting for events, gaming or even just meeting up with pals across the world, all that information – albeit virtual – still needs a place to go.

“The current rising cost of electricity worldwide could cause problems for the growth of data centres, and the housing of the metaverse as a whole. However, without knowing the true size of its adoption, it is extremely difficult to truly determine the needed usage. Could we one day see an entire island devoted to data centre storage? Purely for the purposes of holding the metaverse? It seems a little ‘1984’, but who knows?”

Identity

Although the blockchain provides instantaneous verification of transactions with identity through digital wallets, our physical form will be represented by avatars that visually reflect who we are, and how we want to be seen. 

The founder of Saxo Bank and the chairman of the Concordium Foundation, Lars Seier Christensen, argues, “I think that if you use an underlying blockchain-based solution where ID is required at the entry point, it is actually very simple and automatically available for relevant purposes. It is also very secure and transparent, in that it would link any transactions or interactions where ID is required to a trackable record on the blockchain.”

Once identity is established, it is true that it could potentially become easier to assess creditworthiness of parties for purchasing and borrowing in the metaverse due to the digital identity and storage of each individual’s data and transactions on the blockchain. However, although it sounds exciting, there must be considerations into how it could impact privacy, and how this amount of data will be recorded on the blockchain. 

Security

There are also huge security benefits to this set up. The decentralised blockchain helps to eradicate third-party involvement and data breaches, such as theft and file manipulation, thanks to its powerful data processing and use of validation nodes. Both of these are responsible for verifying and recording transactions on the blockchain. This will be reassuring to many, given the widespread concerns around data privacy and user protection in the metaverse.

To access the blockchain all we will need is an internet connection and a device, such as a laptop or smartphone, this is what makes it so great as it will be so readily available. However, to support the blockchain, we’re relying on a whole different set of technologies.  Akash Kayar, CEO of web3-focused software development company Leeway Hertz, had this to say on the readiness of the current technology available: “The metaverse is not yet completely mature in terms of development. Tech experts are researching strategies and

testing the various technologies to develop ideas that provide the world with more feasible and intriguing metaverse projects.

“Projects like Decentraland, Axie Infinity, and Sandbox are popular contemporary live metaverse projects. People behind these projects made perfect use of notable metaverse technologies, from blockchain and cryptos to NFTs.

“As envisioned by top tech futurists, many new technologies will empower the metaverse in the future, which will support the development of a range of prolific use cases that will improve the ability of the metaverse towards offering real-life functionalities. In a nutshell, the metaverse is expected to bring extreme opportunities for enterprises and common users. Hence, it will shape the digital future.”

Currency & Payments

Whilst it’s only considered legal tender in two countries, cryptocurrency is currently a reality and there is a strong likelihood that it will eventually be mass adopted. However, the metaverse is arguably not yet at the same maturity level, meaning cryptocurrency may have to wait before it can finally fully take off. 

Golden Bitcoin symbol and finance graph screen. Horizontal composition with copy space. Focused image.

There is no doubt that cryptocurrency and the metaverse will go hand-in-hand as the former will become the tender of the latter with many of the current metaverse platforms each wielding its native currency. For example Decentraland uses $MANA for payments and purchases. However, with the volatility of crypto currencies and the recent collapse of trading platform FTX indicating security lapses, we may not yet be ready for the switch to decentralised payments. 

Energy

Some of the world’s largest data centres can each contain many tens of thousands of IT devices which require more than 100 megawatts of power capacity – this is enough to power around 80,000 U.S. households (U.S. DOE 2020) and is equivalent to $1.35bn running cost per data centre with the cost of a megawatt hour averaging $150. 

According to Nitin Parekh of Hitachi Energy, the amount of power which takes to process Bitcoin is higher than you might expect: “Bitcoin consumes around 110 Terawatt Hours per year. This is around 0.5% of global electricity generation. This estimate considers combined computational power used to mine bitcoin and process transactions.” With this estimate, we can calculate that the annual energy cost of Bitcoin is around $16.5bn. 

However, some bigger corporations are slowly moving towards renewable energy to power their projects in this space, with Google signing close to $2bn worth of wind and solar investments in order to power its data centres in the future and become greener. Amazon has also followed in their footsteps and have become the world’s largest corporate purchaser of renewable energy. 

They may have plenty of time yet to get their green processes in place, with Mark Zuckerberg recently predicting it will take nearly a decade for the metaverse to be created: “I don’t think it’s really going to be huge until the second half of this decade at the earliest.”

About Fasthosts

Fasthosts has been a leading technology provider since 1999, offering secure UK data centres, 24/7 support and a highly successful reseller channel. Fasthosts provides everything web professionals need to power and manage their online space, including domains, web hosting, business-class email, dedicated servers, and a next-generation cloud platform. For more information, head to www.fasthosts.co.uk

John MClure, CISO at Sinclair Group – a diversified media company and America’s leading provider of local sports and news – talks about the evolution of cybersecurity and the cultural shift placing it at the forefront of business change

This month’s cover story explores how Sinclair Broadcast Group is embracing the evolution of cybersecurity and placing the role of the CISO at the forefront of business transformation.

Welcome to the latest issue of Interface magazine!

Communication, secure and at speed, is a vital component of the transformation journey for both the modern enterprise and its relationship with stakeholders, be they customers or partners. Putting the right building blocks in place to deliver successful change management is at the heart of the inspiring stories in the latest issue of Interface.

Read the latest issue here!

Sinclair Broadcast Group: a cyber transformation

Our cover star John McClure progressed from a career in the military and work as a consultant in the intelligence industry to fight a new kind of foe… As CISO for Sinclair Broadcast Group, a diversified media company and America’s leading provider of local sports and news, he talks about the evolution of cybersecurity, the battle to meet the rising velocity and sophistication of cyber-attacks and the cultural shift of the role of CISO placing it at the forefront of business change.

“Sinclair is unique in terms of its different business units and how it operates. It’s my job as CISO leading our cyber team not to be an obstacle for the business; we’re here to help it move faster to keep up with market forces, and to move safely. We’re here to engineer solutions that work for the enterprise but also help us maintain a positive security posture.”

State of Florida: digital government services

We also hear from CIO Jamie Grant who is leading the State of Florida’s Digital Service (FL[DS]) on its charge to transform and modernise the way government is accessed and consumed. He is building a team of talented, goal-oriented and customer-obsessed individuals to drive a digital transformation with innovation at its heart. “Leadership is really about developing the team and investing in the people. And it turns out that when you get their backs, they appreciate it and then you can achieve anything.”

ResultsCX: putting people first

Jamie Vernon, SVP for IT & Infrastructure at AI-powered customer experience solution specialist ResultsCX, discusses what drives customer care in the 21st century, and the part technology has to play.

“We are the custodians of our customers’ customers,” says Vernon. “In this increasingly tenuous relationship with their customers, they trust us. My leadership takes that responsibility very seriously, and charges each of us with doing everything we can to provide a perfect call, or email, or chat, every time, thousands of times a minute, around the clock and around the calendar.”

Jamie Vernon, SVP for IT & Infrastructure at AI-powered customer experience solution specialist ResultsCX, discusses what drives customer care in the 21st century, and the part technology has to play.

“We are the custodians of our customers’ customers,” says Vernon. “In this increasingly tenuous relationship with their customers, they trust us. My leadership takes that responsibility very seriously, and charges each of us with doing everything we can to provide a perfect call, or email, or chat, every time, thousands of times a minute, around the clock and around the calendar.”

Also this month, Sarita Singh, Regional Head & Managing Director for Stripe in Southeast Asia, talks about how the fast-growing payments platform is driving financial inclusion across Asia and supporting SMEs with end-to-end services putting users first, and we get expert advice for the modern CEO from the University of Oxford’s Saïd Business School.

Enjoy the issue!

Dan Brightmore, Editor

Our cover story this month investigates how Fleur Twohig, Executive Vice President, leading Personalisation & Experimentation across Consumer Data & Engagement Platforms, and her team are executing Wells Fargo’s strategy to promote personalised customer engagement across all consumer banking channels

This month’s cover story follows Wells Fargo’s journey to deliver personalised customer engagement across all its consumer banking channels.

Welcome to the latest issue of Interface magazine!

Partnerships of all kinds are a key ingredient for organisations intent on achieving their goals… Whether that’s with customers, internal stakeholders or strategic allies across a crowded marketplace, Interface explores the route to success these relationships can help navigate.

Read the latest issue here!

Wells Fargo: customer-centric banking

Fleur Twohig, Wells Fargo

Our cover story this month investigates the strategy behind Wells Fargo’s ongoing drive to promote personalised customer engagement across all consumer banking channels.

Fleur Twohig, Executive Vice President, leading Personalisation & Experimentation across the bank’s Consumer Data & Engagement Platforms, explains her commitment to creating a holistic approach to engaging customers in personalised one-to-one conversations that support them on their financial journeys.

“We need to be there for everyone across the spectrum – for both the good and the challenging times. Reaching that goal is a key opportunity for Wells Fargo and I have the pleasure of partnering with our cross-functional teams to help determine the strategic path forward…”

IBM: consolidating growth to drive value

We hear from Kate Woolley, General Manager of IBM Ecosystem, who reveals how the tech leader is making it easier for partners and clients to do business with IBM and succeed. “Honing our corporate strategy around open hybrid cloud and artificial intelligence (AI) and connecting partners to the technical training resources they need to co-create and drive more wins, we are transforming the IBM Ecosystem to be a growth engine for the company and its partners.”

Kate Woolley, IBM
Kate Woolley, IBM

America Televisión: bringing audiences together across platforms

Jose Hernandez, Chief Digital Officer at America Televisión, explains how Peru’s leading TV network is aggregating services to bring audiences together for omni-channel opportunities across its platforms. “Time is the currency with which our audiences pay us, so we need to be constantly improving our offering both through content and user experiences.”

Portland Public Schools: levelling the playing field through technology

Derrick Brown and Don Wolf, tech leaders at Portland Public Schools, talk about modernising the classroom, dismantling systemic racism and the power of teamwork.

Also in this issue, we hear from Lenovo on how high-performance computing (HPC) is driving AI research and report again from London Tech Week where an expert panel examined how tech, fuelled by data, is playing a critical role in solving some of the world’s hardest hitting issues, ranging from supply chain disruptions through to cybersecurity fears.

Enjoy the issue!

Dan Brightmore, Editor

Conventional robots, like giant industrial robots used in the car industry, are set to reach $14.9bn value this year, up from $12bn in 2018.

Robotics play a huge role in the manufacturing landscape today. A growing number of businesses use manufacturing robots to automate repetitive tasks, reduce errors, and enable their employees to focus on innovation and efficiency, causing the entire sector’s impressive growth.

According to data presented by AksjeBloggen.com, the global market value of conventional and advanced robotics in the manufacturing industry is expected to continue rising and hit $18.6bn in 2021, a 40% increase in three years.

Market Value Jumped by $5.4B in Three Years

Robots have numerous roles in manufacturing. They are mainly used for high-volume, repetitive processes where their speed and accuracy offer tremendous advantages. Other manufacturing automation solutions include robots used to help people with more complex tasks, like lifting, holding, and moving heavy pieces.

Companies turn to robotics process automation to cut manufacturing costs, solve the shortage of skilled labor and keep their cost advantage in the market.

In 2018, the global market value of conventional and advanced robotics in the manufacturing industry amounted to $13.2bn, revealed the BCG survey. In 2019, this figure rose to $14.8bn and continued growing. Statistics show the market value of manufacturing robots hit $16.6bn in 2020. This figure is expected to jump by $2bn and hit $18.6bn in 2021.

Conventional robots, like giant industrial robots used in the car industry, are set to reach $14.9bn value this year, up from $12bn in 2018.

The market value of advanced manufacturing robots, which have a superior perception, adaptability, and mobility, tripled in the last three years and is expected to hit $3.7bn in 2021. Combined with big data analytics, advanced manufacturing robots allow companies to make intelligent decisions based on real-time data, which leads to lower costs and faster turnaround times.

The BCG survey also showed most manufacturers believe advanced robotic systems will have a massive role in the factory of the future and plan to increase their use. More than 70% of respondents defined robotics as a significant productivity driver in production and logistics.

European and Asian Companies Lead in the Use of Advanced Manufacturing Robots

Analyzed by regions, European and Asian companies lead in the use of advanced robots, while manufacturers from North America lag behind. However, the survey showed 80% of respondents from the US plan to implement advanced robotics in the next few years.

The survey also revealed that manufacturers in emerging markets, especially China and India, are more enthusiastic about using advanced robots than those in industrialized countries. These companies may be looking to automation as a way to overcome a skilled labor shortage and improve their ability to compete in international markets.

Germany had the largest robot density in the manufacturing industry among European countries, with 346 installations per 10,000 employees in 2019. Sweden, Denmark, and Italy followed with 277, 243, and 212 installations per 10,000 employees, respectively.

Statistics also show that companies in the transportation and logistics and technology sector lead in implementing advanced robotics, with 54% and 53% of manufacturers who already use such solutions. The automotive industry and consumer goods sector follow with 49% and 44% share, respectively.

Manufacturers in the engineered products, process, and health care industries lag behind, with 42%, 41%, and 30% of companies that use advanced manufacturing robots. However, around 85% of manufacturers in these sectors plan to start using advanced robotic systems by 2022.

Gurpreet Purewal, Associate Vice President, Business Development, iResearch Services, explores how organisations can overcome the challenges presented by AI in 2021.

2020 has been a year of tumultuous change and 2021 isn’t set to slow down. Technology has been the saving grace of the waves of turbulence this year, and next year as the use of technology continues to boom, we will see new systems and processes emerge and others join forces to make a bigger impact. From assistive technology to biometrics, ‘agritech’ and the rise in self-driving vehicles, tech acceleration will be here to stay, with COVID-19 seemingly just the catalyst for what’s to come. Of course, the increased use of technology will also bring its challenges, from cybersecurity and white-collar crime to the need to instil trust in not just those investing in the technology, but those using it, and artificial intelligence (AI) will be at the heart of this. 

1. Instilling a longer-term vision 

New AI and automation innovations have led to additional challenges such as big data requirements for the value of these new technologies to be effectively shown. For future technology to learn from the challenges already faced, a comprehensive technology backbone needs to be built and businesses need to take stock and begin rolling out priority technologies that can be continuously deployed and developed. 

Furthermore, organisations must have a longer-term vision of implementation rather than the need for immediacy and short-term gains. Ultimately, these technologies aim to create more intelligence in the business to better serve their customers. As a result, new groups of business stakeholders will be created to implement change, including technologists, business strategists, product specialists and others to cohesively work through these challenges, but these groups will need to be carefully managed to ensure a consistent and coherent approach and long-term vision is achieved. 

2. Overcoming the data challenge

AI and automation continue to be at the forefront of business strategy. The biggest challenge, however, is that automation is still in its infancy, in the form of bots, which have limited capabilities without being layered with AI and machine learning. For these to work cohesively, businesses need huge pools of data. AI can only begin to understand trends and nuances by having this data to begin with, which is a real challenge. Only some of the largest organisations with huge data sets have been able to reap the rewards, so other smaller businesses will need to watch closely and learn from the bigger players in order to overcome the data challenge. 

3. Controlling compliance and governance

One of the critical challenges of increased AI adoption is technology governance. Businesses are acutely aware that these issues must be addressed but orchestrating such change can lead to huge costs, which can spiral out of control. For example, cloud governance should be high on the agenda; the cloud offers new architecture and platforms for business agility and innovation, but who has ownership once cloud infrastructures are implemented? What is added and what isn’t? 

AI and automation can make a huge difference to compliance, data quality and security. The rules of the compliance game are always changing, and technology should enable companies not just to comply with ever-evolving regulatory requirements, but to leverage their data and analytics across the business to show breadth and depth of insight and knowledge of the workings of their business, inside and out. 

In the past, companies struggled to get access and oversight over the right data across their business to comply with the vast quantities of MI needed for regulatory reporting. Now they are expected to not only collate the correct data but to be able to analyse it efficiently and effectively for regulatory reporting purposes and strategic business planning. There are no longer the time-honoured excuses of not having enough information, or data gaps from reliance on third parties, for example, so organisations need to ensure they are adhering to regulatory requirements in 2021.

4. Eliminating bias

AI governance is business-critical, not just for regulatory compliance and cybersecurity, but also in diversity and equity. There are fears that AI programming will lead to natural bias based on the type of programmer and the current datasets available and used. For example, most computer scientists are predominantly male and Caucasian, which can lead to conscious/unconscious bias, and datasets can be unrepresentative leading to discriminatory feedback loops.

Gender bias in AI programming has been a hot topic for some years and has come to the fore in 2020 again within wider conversations on diversity. By only having narrow representation within AI programmers, it will lead to their own bias being programmed into systems, which will have huge implications on how AI interprets data, not just now but far into the future. As a result, new roles will emerge to try and prevent these biases and build a more equitable future, alongside new regulations being driven by companies and specialist technology firms.

5. Balancing humans with AI

As AI and automation come into play, workforces fear employee levels will diminish, as roles become redundant. There is also inherent suspicion of AI among consumers and certain business sectors. But this fear is over-estimated, and, according to leading academics and business leaders, unfounded. While technology can take away specific jobs, it also creates them. In responding to change and uncertainty, technology can be a force for good and source of considerable opportunity, leading to, in the longer-term, more jobs for humans with specialist skillsets. 

Automation is an example of helping people to do their jobs better, speeding up business processes and taking care of the time-intensive, repetitive tasks that could be completed far quicker by using technology. There remain just as many tasks within the workforce and the wider economy that cannot be automated, where a human being is required.

Businesses need to review and put initiatives in place to upskill and augment workforces. Reflecting this, a survey on the future of work found that 67% of businesses plan to invest in robotic process automation, 68% in machine learning, and 80% investing in perhaps more mainstream business process management software. There is clearly an appetite to invest strongly in this technology, so organisations must work hard to achieve harmony between humans and technology to make the investment successful.

6. Putting customers first

There is growing recognition of the difference AI can make in providing better service and creating more meaningful interactions with customers. Another recent report examining empathy in AI saw 68% of survey respondents declare they trust a human more than AI to approve bank loans. Furthermore, 69% felt they were more likely to tell the truth to a human than AI, yet 48% of those surveyed see the potential for improved customer service and interactions with the use of AI technologies.

2020 has taught us about uncertainty and risk as a catalyst for digital disruption, technological innovation and more human interactions with colleagues and clients, despite face-to-face interaction no longer being an option. 2021 will see continued development across businesses to address the changing world of work and the evolving needs of customers and stakeholders in fast-moving, transitional markets. The firms that look forward, think fast and embrace agility of both technology and strategy, anticipating further challenges and opportunities through better take-up of technology, will reap the benefits.

With virtually all companies looking at AI, what are some of the key risks they need to consider before implementation?

Today virtually all companies are forced to innovate and many are excited about AI. Yet since implementation cuts across organisational boundaries, shifting to an AI-driven strategy requires new thinking about managing risks, both internally and externally. This blog will cover “the seven sins of enterprise AI strategies”, which are governance issues at the board and executive levels that block companies from moving ahead with AI. by By Jeremy Barnes, Element AI

1- Disowning the AI strategy

This is probably the most important sin. In this case, a CEO and board will say that AI is a priority, but delegate it to a different department or an innovation lab. However, success is not based on whether or not a company uses an innovation lab—it’s whether they are truly invested in it. The bottom line is that the CEO and board need to actively lead an AI strategy.

2- Ignoring the unknowns

This happens when companies say they believe in AI, but don’t reach a level of proficiency where it’s possible to identify, characterise and model the threats that emerge with new advances. Even if it is decided not to go all-in on AI innovation, it’s still important that there is a hypothesis for how to address AI within a company and an early warning system so the decision can be re-evaluated early enough to act.  Being a fast follower requires as much organizational preparation and lead time as leadership.

3- Not enabling the culture

The ability to implement AI is about an experimentation mindset. That and an openness to failure need to be adopted across the company. Organisations need to keep in mind that AI doesn’t respect organisational boundaries. Most companies want high-impact, low-risk solutions that could simply lead to optimising, rather than advancing new value streams. It is hard to accept increased risk in exchange for impact but it will come as part of the continuous cultural enablement of an experimental mindset.

4- Starting with the solution

This is the most common sin. It’s important to be able to understand the specific problems you’re trying to solve, because AI is unlikely to be a solution for all of them, and especially not blindly implementing a horizontal AI platform. Have the conversation at board level to ensure that an overarching AI strategy, and not simply quick-fix solutions, is the priority.

5- Lose risk, keep reward

As mentioned in the third sin, it is natural for companies to want to implement AI without any risk. But there is no reward without risk. A vendor motivated to decrease risk will also decrease innovation and ultimately impact by making successes small and failures non-existent. AI creates differentiation only for companies that are willing to learn from both their successes and their failures. A company that doesn’t effectively balance risk in AI will ultimately increase its risk of disruption.

6- Vintage accounting

Attempting to fit AI into traditional financial governance structures causes problems. It doesn’t fit nicely into budget categories and it’s hard to value the output. The link between what you put in and what you get out can be less tangible or predictable, which often makes it harder to square with existing plans or structures. Model the rate of return on AI activities and all data-related activities. This demands that these activities affect profit (not just loss) and assets (not just liabilities).

7- Treating data as a commodity

The final sin concerns data and its treatment as a commodity. Data is fundamental to AI. If data is poorly handled, it can lead to negative impacts on decision-making. Data should be treated as an asset. The stronger, deeper and more accurate the dataset, the better models that you can train and more intelligent insights you can generate. But, at the same time, when personally identifiable information is stored about customers, it can be stolen, risking heavy penalties in some jurisdictions. You need to build towards data from a use case rather than invest blindly in data centralisation projects. So, now you know what not to do. Here are some of the simple things that you can do to move ahead. First, talk to your board about how long it will take to become an AI innovator, modelling it out, rather than simply discussing it conceptually.

Second, prepare for change and put in place monitoring. AI shifts all the time, so you’ll want to regularly check in to adjust and pivot your strategy. It’s important to develop a basic skill set so you can redo planning exercises with your board. Third, model out risks in both action and inaction. But don’t model them in a traditional approach, which is to push risk down to different business units and then compensate those units for reducing risk rather than managing trade-offs. Instead, view those trade-offs in terms of risks and rewards, and start to think about how you are accounting for the assets and liabilities of AI. Ultimately, you want to start to model what is the actual rate of return for all these activities that you are doing. Then benchmark it against what you see in other companies from across the industry, and that will give you a good picture of the current situation and where to go.

Understanding what it isn’t is just as important as understanding what it is, says Jim Logan who has nearly three decades of experience in financial services and technology…

I’ve been working in the financial services space for close to thirty years now. I’ve seen many trends and technologies emerge. Some take hold, several are just a flash in the pan. Regardless of how long a concept sticks around, one thing remains: Terminology plays a material role in shaping perceptions. In a world where messaging tends to over complicate things, too many acronyms and too many buzzwords all work against what should be the primary objective: clearly illustrating value. I’ve found this to be equally true when it comes to artificial intelligence or ‘AI’.

Generally speaking, the word artificial doesn’t readily call to mind a positive image, does it? By definition, the word “artificial” has listed meanings of, “insincere or affected” and “made by humans as opposed to happening naturally.”  It is the second part of this definition I’d like to explore a bit further.

Artificial Intelligence is, in fact, created by humans. And it isn’t a new fad or concept. Many don’t realize that the term was first coined by John McCarthy, Ph.D. and Stanford computer and cognitive scientist, back in 1955.  AI has continued to evolve as a material concept, with practical applications across many industries, ever since.

For financial service professionals, particularly those of us involved with fighting financial crime and preventing money laundering, AI can have tremendous impact and practical application.  Before we dive a bit deeper, I feel it’s important to first understand what AI isn’t.

AI is not intended to simply be a digital worker, certainly not within financial services and fighting financial crime. Yes, AI can automate various functions. We’re all familiar with the concept of ‘bots’ and virtual assistants. However, those are rudimentary examples of robotic process automation. True AI is human led and a continuous, instantaneous learning process that drives tangible value. AI is not merely a play to cut costs or replace human capital. Rather, AI enhances the bottom line by keeping compliance staff costs flat in the immediate term and enables our human experts to more appropriately manage their time, by focusing talent on investigations that matter the most.

One of the most valuable aspects of AI, in the context of anti money laundering and compliance, is the speed by which it can be deployed. We’re talking about time to market and time to value in a matter of weeks. Not months, not multiple quarters – simply weeks. But I don’t mean a generic, black box concept. I’m specifically referring to a highly precise, tailored AI solution that has extensive proof points and, more importantly, far-reaching global regulatory approval.

AI shouldn’t simply be an extension of legacy rules-based routines, nor a way to further automate the process of scoring or risk weighted alert suppression. That simply dilutes the true value of AI, and does not maximize the cost and efficiency benefits.

The cost of compliance continues to grow at a staggering pace, particularly for financial institutions and insurance companies. Equally of concern, the impact of fines for non-compliance has also skyrocketed in the last decade. Specifically to the tune of $8.4 billion last year across North America alone.

What if you could literally solve every single name screen, sanction, and transaction alert? What if you could achieve this without sacrificing any aspect of control and security? What if you could increase the throughput, efficiency and accuracy of your compliance operations without adding a single dollar of staff expense to your budget?

Let’s stop talking in terms of what if and have a meaningful conversation regarding how. I’m helping clients achieve all of these measures today and that is from a perspective proven in production. Here at Silent Eight we’re a team founded by engineers and data scientists, solving real world challenges in the anti money laundering and financial compliance market.

Artificial Intelligence isn’t scary…it isn’t a black box…and it isn’t the futuristic world of tomorrow – it is the here and now, and it’s battle tried and tested.

Temenos, the banking software company, partners with Microsoft to offer AI-driven Financial Crime Mitigation solution to help banks combat surge cybercrime during Covid-19 outbreak.

Temenos, the banking software company, announced today a joint effort with Microsoft to enable access to its AI-powered, Financial Crime Mitigation (FCM) SaaS solution to allow banks to protect both their customers and their organization from financial crime increase during the pandemic, particularly as banks have moved to remote working to protect their staff. Temenos AI-powered, Financial Crime Mitigation SaaS solution based on Microsoft’s fast, scalable and secure Azure cloud platform can be deployed within weeks. 

Temenos and Microsoft are opening up access to banks for a 14-day trial, available until 30 of June. As part of the collaboration with Microsoft, Temenos is offering system access and online tutorials for users to familiarize themselves with navigation of the system and learn how it can support them in a revised operating landscape. Temenos unveiled the open access initiative of its FCM software at its virtual event Temenos Community Forum Online, 29-30 April.

Temenos FCM provides enterprise-wide financial crime protection for a highly regulated and fast-changing environment. It allows banks’ operators to respond to alerts and collaborate with team members while working remotely. Throughout the Covid-19 crisis, Temenos customers from Tier 1 banks to regional banks and neobanks have continued to benefit from Temenos FCM’s comprehensive coverage regardless of the fact that their teams are working remotely.

Financial regulators worldwide and organizations such as the European Central Bank are warning that the Covid-19 pandemic may result in an increase in financial crime and other misconduct due to market disruptions, reduced staff, and other factors, as has been the case during past global crises. Opportunistic fraudsters and criminals are adapting their methods of targeting people and countries in distress as new threat vectors open up.

The Financial Actions Task Force (FATF), the global standard setter for combating money laundering and terrorism financing, warns businesses to remain vigilant for emerging money laundering and terrorist financing risks as criminals may seek to exploit gaps and weaknesses in Anti-Money Laundering/Combating the Financing of Terrorism (AML/CFT) systems under the assumption that resources are focused elsewhere. Fraudsters have already been very quick to adapt well-known fraud schemes to target individual citizens, businesses and public organizations. These include various types of adapted versions of telephone fraud schemes, supply scams and decontamination scams.

Jean-Michel Hilsenkopf, Chief Operating Officer, Temenos, said: We are proud to be able to offer our cloud-native and AI technology to support banks in the fight against financial crime, which has increased as a result of the pandemic. As a strategic global banking software partner of Microsoft, we are pleased to join efforts to deliver Temenos Financial Crime Mitigation as SaaS on Microsoft Azure’s resilient, secure and proven cloud platform. We are committed to providing robust and up-to-date sanction screening, AML, KYC and fraud management protection combined with powerful AI-driven transaction monitoring and sanction screening to help banks worldwide.”

Marianne Janik, Country General Manager, Microsoft Switzerland, said: “We have been pioneering with Temenos in the cloud for a decade. We are proud to join forces to help banks use the power of Temenos’ market-leading Financial Crime Mitigation solution based on our secure, scalable and resilient global Azure cloud platform to combat financial crime surge due to Covid-19.” 

More than 200 banks use Temenos FCM SaaS solution, which covers watch-list screening, anti-money laundering, fraud prevention – suspicious activity prevention – and KYC, delivering industry-leading levels of detection and false positives of under 2% vs industry average of 7% and above. Temenos FCM can be deployed as a standalone, or integrated into any banking or payments platform including cloud-native, cloud-agnostic Temenos Transact and Temenos Infinity. It provides unrivalled levels of detection and resilience against financial crime and Total Cost of Ownership (TCO) savings of more than 50%. Temenos FCM provides banks with the next generation of AI-driven FCM capabilities that can run on any public cloud, as a service or on premise.

The global developer of artificial intelligence solutions is releasing a free search platform to help clinical and scientific researchers find answers and patterns in research papers

Information on COVID-19 is evolving fast and this AI-powered platform leverages a semantic search model that will allow users to quickly connect disparate information. The platform can execute searches based on specific inquiries, along with critical paragraphs copied from a relevant paper. Unlike keyword searches, the queries do not need to be specifically structured, and actually perform better in longer form. This initial version is configured to work with the COVID-19 Open Research Dataset (CORD-19) corpus. Element AI is looking for users and organizations from various groups to test the platform and suggest other data sets and features that could best fit their needs.

The group’s Element AI is looking to work with include:

Clinical researchers who need to incorporate many phenomena to make a rich model of the pandemic and its impacts.

Government, Public Safety and Public Health authorities looking to find best practices across different countries.


Pharmaceutical companies working on new therapies or vaccine trials, as well as identifying existing therapies that could provide immediate help.

-Scientific researchers and data scientists who are working on novel ways to connect research across the body of knowledge already available for COVID-19.

“Research data and reports are being published at an unprecedented pace as organizations scale up their efforts to respond to COVID-19. We want to contribute, and this free platform is our way to help the community locate and gather knowledge to find answers and patterns,” said Jean-François (JF) Gagné, CEO and Co-founder of Element AI. “We encourage the scientific and healthcare community to use this free platform and engage with our team to quickly ramp up and collaboratively meet the needs of the people working to slow down and contain COVID-19. We hope that their feedback and collaboration will help us quickly add features and datasets on top of what we already have made available” added Gagné.

The COVID-19 platform leverages technology from the Element AI Knowledge Scout product, which uses natural language techniques to tap into structured and unstructured sources of information. The first version will be progressively updated in coming weeks as additional datasets emerge. The site can be accessed at: https://www.elementai.com/covid-research.

Mauro Guillén Zandman, Professor of International Management, The Wharton School, University of Pennsylvania, USA Srikar Reddy, Managing Director and Chief…

Mauro Guillén Zandman, Professor of International Management, The Wharton School, University of Pennsylvania, USA

Srikar Reddy, Managing Director and Chief Executive Officer, Sonata Software Limited and Sonata Information Technology Limited

Artificial intelligence (AI) relies on big data and machine learning for myriad applications, from autonomous vehicles to algorithmic trading, and from clinical decision support systems to data mining. The availability of large amounts of data is essential to the development of AI.  But the scandal over the use of personal and social data by Facebook and Cambridge Analytica has brought ethical considerations to the fore. And it’s just the beginning. As AI applications require ever greater amounts of data to help machines learn and perform tasks hitherto reserved for humans, companies are facing increasing public scrutiny, at least in some parts of the world. Tesla and Uber have scaled down their efforts to develop autonomous vehicles in the wake of widely reported accidents. How do we ensure the ethical and responsible use of AI? How do we bring more awareness about such responsibility, in the absence of a global standard on AI?

The ethical standards for assessing AI and its associated technologies are still in their infancy. Companies need to initiate internal discussion as well as external debate with their key stakeholders about how to avoid being caught up in difficult situations.

Consider the difference between deontological and teleological ethical standards. The former focuses on the intention and the means, while the latter on the ends and outcomes. For instance, in the case of autonomous vehicles, the end of an error-free transportation system that is also efficient and friendly towards the environment might be enough to justify large-scale data collection about driving under different conditions and also, experimentation based on AI applications.

By contrast, clinical interventions and especially medical trials are hard to justify on teleological grounds. Given the horrific history of medical experimentation on unsuspecting human subjects, companies and AI researchers alike would be wise to employ a deontological approach that judges the ethics of their activities on the basis of the intention and the means rather than the ends.

Another useful yardstick is the so-called golden rule of ethics, which invites you to treat others in the way you would like to be treated. The difficulty in applying this principle to the burgeoning field of AI lies in the gulf separating the billions of people whose data are being accumulated and analyzed from the billions of potential beneficiaries. The data simply aggregates in ways that make the direct application of the golden rule largely irrelevant.

Consider one last set of ethical standards: cultural relativism versus universalism. The former invites us to evaluate practices through the lens of the values and norms of a given culture, while the latter urges everyone to live up to a mutually agreed standard. This comparison helps explain, for example, the current clash between the European conception of data privacy and the American one, which is shaping the global competitive landscape for companies such as Google and Facebook, among many others. Emerging markets such as China and India have for years proposed to let cultural relativism be the guiding principle, as they feel it gives them an edge, especially by avoiding unnecessary regulations that might slow their development as technological powerhouses.

Ethical standards are likely to become as important at shaping global competition as technological standards have been since the 1980s. Given the stakes and the thirst for data that AI involves, it will likely require companies to ask very tough questions as to every detail of what they do to get ahead. In the course of the work we are doing with our global clients, we are looking at the role of ethics in implementing AI. The way industry and society addresses these issues will be crucial to the adoption of AI in the digital world.

However, for AI to deliver on its promise, it will require predictability and trust. These two are interrelated. Predictable treatment of the complex issues that AI throws up, such as accountability and permitted uses of data, will encourage investment in and use of AI. Similarly, progress with AI requires consumers to trust the technology, its impact on them, and how it uses their data. Predictable and transparent treatment facilitates this trust.

Intelligent machines are enabling high-level cognitive processes such as thinking, perceiving, learning, problem-solving and decision-making. AI presents opportunities to complement and supplement human intelligence and enrich the way industry and governments operate.

However, the possibility of creating cognitive machines with AI raises multiple ethical issues that need careful consideration. What are the implications of a cognitive machine making independent decisions? Should it even be allowed? How do we hold them accountable for outcomes? Do we need to control, regulate and monitor their learning?

A robust legal framework will be needed to deal with those issues too complex or fast-changing to be addressed adequately by legislation. But the political and legal process alone will not be enough. For trust to flourish, an ethical code will be equally important.

The government should encourage discussion around the ethics of AI, and ensure all relevant parties are involved. Bringing together the private sector, consumer groups and academia would allow the development of an ethical code that keeps up with technological, social and political developments.

Government efforts should be collaborative with existing efforts to research and discuss ethics in AI. There are many such initiatives which could be encouraged, including at the Alan Turing Institute, the Leverhulme Centre for the Future of Intelligence, the World Economic Forum Centre for the Fourth Industrial Revolution, the Royal Society, and the Partnership on Artificial Intelligence to Benefit People and Society.

But these opportunities come with associated ethical challenges:

Decision-making and liability: As AI use increases, it will become more difficult to apportion responsibility for decisions. If mistakes are made which cause harm, who should bear the risk?

Transparency: When complex machine learning systems are used to make significant decisions, it may be difficult to unpick the causes behind a specific course of action. Clear explanations for machine reasoning are necessary to determine accountability.

Bias: Machine learning systems can entrench existing bias in decision-making systems. Care must be taken to ensure that AI evolves to be non-discriminatory.

Human values: Without programming, AI systems have no default values or “common sense”. The British Standards Institute BS 8611 standard on the “ethical design and application of robots and robotic systems” provides some useful guidance: “Robots should not be designed solely or primarily to kill or harm humans. Humans, not robots, are the responsible agents; it should be possible to find out who is responsible for any robot and its behaviour.”

Data protection and IP: The potential of AI is rooted in access to large data sets. What happens when an AI system is trained on one data set, then applies learnings to a new data set?

Responsible AI ensures attention to moral principles and values, to ensure that fundamental human ethics are not compromised. There have been several recent allegations of businesses exploiting AI unethically. However, Amazon, Google, Facebook, IBM and Microsoft have established a non-profit partnership to formulate best practices on artificial intelligence technologies, advance the public’s understanding, and to serve as a platform about artificial intelligence.

Peltarion, leading AI innovator and creator of an operational deep learning platform, today announced the findings of a survey of…

Peltarion, leading AI innovator and creator of an operational deep learning platform, today announced the findings of a survey of AI decision-makers examining what they see as the impact of the skills shortage, and suggestions on how to overcome it. The research, ‘AI Decision-Makers Report: The human factor behind deep learning’, presents the findings of a survey of 350 IT leaders in the UK and Nordics with direct responsibility for shepherding AI at companies with more than 1,000 employees.

The report finds that many AI decision-makers are concerned about the business impact of the deep learning skills shortage. 84% of respondents said their company leaders worry about the business risks of not investing in deep learning, with 83% saying that a lack of deep learning skills is already impacting their ability to compete in the market. These companies are exclusively focusing on recruiting data scientists (71% of AI decision-makers are actively recruiting to plug the deep learning skills gap), and this is already impacting their ability to progress with AI projects:

  • Almost half (49%) say the skills shortage is causing delays to projects
  • 44% believe the need for specialist skills is a major barrier to further investment in deep learning
  • However, almost half (45%) say they are struggling to hire because they don’t have a mature AI program already in place

“This report shows that companies can’t afford to wait for data science talent to come to them to progress their AI projects. The fact is, many organisations are already starting to lose their competitive edge by waiting for specialised data scientists. The current approach, which relies on hiring an isolated team of data scientists to work on deep learning projects, is delaying projects and putting strain on the talent companies do have,” explains Luka Crnkovic-Friis, Co-Founder and CEO at Peltarion. “In order to solve the deep learning skills gap, we need to make use of transferrable talent that can be found right under companies’ noses. Deep learning will only reach its true potential if we get more people from different areas of the business using it, taking pressure off data scientists and allowing projects to progress.” 

Less than half (48%) of respondents said they currently employ data scientists who can create deep learning models, compared to 94% that have data scientists who can create other machine learning models. This shortage is having a direct impact on teams: 93% of AI decision-makers say their data scientists are over-worked to some extent because they believe there is no one else who can share the workload. However, with the right tools, others can make a serious impact on AI projects.

“Organisations need to move projects forward by bringing on existing domain experts and investing in tools that will help them input into AI projects. This will reduce the strain on data scientists and lower deep learning’s barrier to entry,” concludes Crnkovic-Friis. “We need to make deep learning more affordable and accessible to all by reducing its complexity. By operationalising deep learning to make it more scalable, affordable and understandable, organisations can put themselves on the fast track and use deep learning to optimise processes, create new products and add direct value to the business.” 

AI is no longer science-fiction writers dream, it’s being implemented in industries all over the world. We look at 5…

AI is no longer science-fiction writers dream, it’s being implemented in industries all over the world. We look at 5 examples of how AI is revolutionising the retail experience Written by: Dale Benton

Marks and Spencer

In early 2019, M&S announced a new Technology Transformation Program, one that will allow M&S to become a digital-first business and deliver key improvements in customer experience. As part of this transformation, M&S has partnered with Microsoft to investigate and test the capabilities of technology and artificial intelligence in a retail environment. M&S will look to integrate machine learning, computer vision and AI across every endpoint – both in its stores and behind the scenes. Every surface, screen and scanner in its stores will create data – and enable employees to act upon it. Every M&S store worldwide will be able to track, manage and replenish stock levels in real time – and deal with unexpected events.

https://www.marksandspencer.com/
https://twitter.com/marksandspencer
https://www.facebook.com/MarksandSpencer

John Lewis/Waitrose

The John Lewis Partnership is currently partaking in a three-year trial, deploying robots to one of its farms, which grows produce for its Waitrose & Partners brand.  The robots, named Tom, Dick and Harry, are delivered in partnership with the Small Robot Company. Each will be equipped with a camera and AI technology to gather topographical data, while autonomously obtaining accurate, plant-by-plant data in order to enable higher farming efficiency.  The data will also be used to develop further machine learning capabilities. The trial will also provide the John Lewis Partnership’s Room Y innovation team with valuable insight to support innovation and inform how robotics and Artificial Intelligence (AI) could be used further in other areas of the business.

https://www.johnlewis.com/
https://twitter.com/JLandPartners
http://www.facebook.com/johnlewisretail

Walmart

One of the biggest retail companies in the world has been piloting and implementing artificial intelligence solutions across its stores for a number of years.  As part of a technology program, called Missed Scan Detection, Walmart has deployed AI-equipped cameras in more than 1,000 of its stores. These cameras, developed in part with Everseen, tracks and analyses activities at both self-checkout registers and those manned by Walmart employees. If an item isn’t scanned at checkout, the cameras will detect the and notify a checkout attendant of the problem. The AI technology allows Walmart to monitor its inventory product quantities, but also significantly reduce theft across its stores.

https://www.walmart.com/
https://www.facebook.com/walmart

Amazon

Amazon Go represents a whole n era of shipping. The concept is simple, walk into an Amazon Go store, pick up whatever you want and walk back out.  The idea is to create a “Just Walk Out” experience. Described as the “most advanced shopping technology”, customers simply download the Amazon Go app. Powerful machine learning and AI technology automatically detects when products are taken from or returned to the shelves, keeping track of them all in a virtual cart. Once customers leave, Amazon will collate all of the data and produce a receipt and charge the customer’s Amazon account.

amazon.co.uk

https://twitter.com/amazon
https://www.facebook.com/AmazonUK/

Morrisons

One of the UK’s largest food retailers with more than 120,000 colleagues in 494 stores serving over 11 million customers every week, Morrisons turned its attention to AI with JDA Software. Looking to vastly improve the customer experience, Morrisons looked at reducing queues at checkouts, and improving on-shelf availability. Morrisons invested in Blue Yonder – a Demand Forecast & Replenishment solution from JDA, which uses Artificial Intelligence (AI) technology to improve demand planning and reinvigorate replenishment based on customer behaviour in every store. Over a 12-month period, Morrisons was able to generate up to 30% reduction in shelf gaps and a 2-3 day reduction in stockholding in-store. AI technology has also enabled Morrisons to close the execution gap, optimizing availability while reducing wastage, enhancing shelf presentation and meeting stockholding targets.

groceries.morrisons.com
https://www.twitter.com/morrisons
http://www.facebook.com/Morrisons

By Craig Summers, Managing Director, Manhattan Associates Customer experience can be make or break for retailers. In fact, recent research…

By Craig Summers, Managing Director, Manhattan Associates

Customer experience can be make or break for retailers. In fact, recent research shows that flawed customer experiences could be costing British retailers up to £102 billion in lost sales each year. This shouldn’t be news to retailers; the modern consumer demands a connected, consistent experience that is personalised to them, whether it’s online or instore. The same research found that running out of stock in-store was the biggest contributor to lost revenue, with 79 per cent of consumers saying they would not return to make a purchase if they found their desired item was out of stock. This frustration is only amplified if an out of stock product is marketed to the consumer. 

Personalisation isn’t anything new but if the basics aren’t right, retailers risk not delivering on customer experience. Many retailers still aren’t getting it right – and, explains Craig Summers, Managing Director, Manhattan Associates, inept personalisation is affecting the bottom line.

Misplaced Personalisation

The way in which retailers can engage with customers has changed radically over the past decade, from social media onwards. Add in the compelling appealing of Artificial Intelligence (AI) and the promise of incredibly accurate and timely promotional offers, and personalisation has become a foundation of any retail strategy. Yet while the marketing activity is becoming ever more sophisticated, personalisation cannot be delivered by marketing alone. 

Without integrating marketing activity to the core operation, retailers risk repelling rather than engaging customers. Product offers that are out of stock in the customer’s size. Promotions not on offer at the local store. Incentives to buy an item the customer has already purchased – not a problem for a standard food or household item, incredibly annoying if it’s an expensive mountain bike or cashmere jumper. Customers are becoming increasingly familiar with ostensibly personalised offers that fail to deliver a great experience.

What is the thinking behind a promotion that cannot be purchased by the customer? Why set such high expectations when they cannot be met? Enticing a customer to click through an emailed offer may be the measure of marketing success – but when that customer is unable to make a purchase because the desired item is not available in his or her size, that is at least one lost sale and a bottom line retail failure.

Complete Experience

Are retailers listening to what their customers want from personalisation? Great personalised offers will not deliver any value if they are not linked to the rest of the business. Smart technologies, such as AI, without any doubt have a role to play in delivering personalisation – but they are not the foundation. The foundation is getting the basics right. It is ensuring that when a customer wants to buy a product – online or instore – it is available. It is about providing Store Associates with the ability to track stock anywhere in the supply chain, reserve it for a customer to try on instore or have it sent direct to their destination of choice.  It is about combining stock availability information with customer insight to make intelligent suggestions, both instore and via marketing promotions. 

Bottom line success is, essentially, about the quality of the interaction. And that means considering not just the accuracy of the promotional offer but the complete customer experience. What is achievable today? What can be done well? If a product is being promoted to an individual, is it available in the right size? Is it available locally, or only in flagship outlets? It is these disconnected experiences that are fundamentally undermining customer experience and brand value.

Conclusion

The future of customer personalisation is incredibly exciting. AI promises the ability to predict a customer’s desires before the customer. Fabulous. But only fabulous if that product is available to buy, at a time and place to suit that individual. Right now personalisation is about the retailer; it is about being clever with promotions.  It needs to be about the customer; it needs to be about delivering the quality of experience that drives sales.

Retailers need to go back to basics: use technology to recreate the ‘corner shop model’ of the past, at scale. By creating a truly immersive experience for their customers, retailers can find a way to make personalisation profitable again.

The uptake of artificial intelligence by industry will drastically change the UK job market in the coming years – with…

The uptake of artificial intelligence by industry will drastically change the UK job market in the coming years – with 133 million new jobs expected to be created globally.

In the UK alone, up to a third of jobs will be automated or likely to change as a result of the emergence of AI – impacting 10.5 million workers.

The findings come from a new report – Harnessing the Power of AI: The Demand for Future Skills – from global recruiter Robert Walters and market analysis experts Vacancy Soft.

Ollie Sexton, Principal at Robert Walters comments:

“As businesses become ever more reliant on AI, there is an increasing amount of pressure on the processes of data capture and integration. As a result, we have seen an unprecedented number of roles being created with data skill-set at their core.

“Our job force cannot afford to not get to grips with data and digitalisation. Since 2015 the volume of data created worldwide has more than doubled – increasing (on average) by 28% year-on-year.

“Now is the perfect time to start honing UK talent for the next generation of AI-influenced jobs. If you look at the statistics in this report we can see that demand is already rife, what we are at risk of is a shortage of talent and skills.”

Demand for Data Professionals

IT professionals dedicated to data management appear to be the fastest growing area within large or global entities, with volumes increasing ten-fold in three years – an increase in vacancies of 160% since 2015.

More generally speaking, data roles across the board have increased by 80% since 2015 – with key areas of growth including data scientists and engineers.

What has been the most interesting to see is the emergence of data scientist as a mainstream profession – with job vacancies increasing by a staggering 110% year-on-year. The same trend can be seen with data engineers, averaging 86% year-on-year job growth.

Professional Services Hiring Rapidly

The rise of cybercrime has resulted in professional services – particularly within banking and financial services – hiring aggressively for information security professionals since 2016, however since then volumes have held steady.

Within professional services, vacancies for data analysts (+19.5%), data manager (+64.2%), data scientist (+28.8), and data engineer (+62%) have all increased year-on-year.

Top Industries Investing in AI

  1. Agriculture
  2. Business Support
  3. Customer Experience
  4. Energy
  5. Healthcare
  6. Intellectual Property
  7. IT Service Management
  8. Manufacturing
  9. Technical Support
  10. Retail
  11. Software Development

Tom Chambers, Manager – Advanced Analytics and Engineering at Robert Walters comments:

“The uptake of AI across multiple industries is bringing about rapid change, but with that opportunity.

“Particularly, we are seeing retail, professional services and technology industries’ strive to develop digital products and services that are digitally engaging, secure and instantaneous for the customer – leading to huge waves of recruitment of professionals who are skilled in implementing, monitoring and gaining the desired output from facial recognition, check-out free retail and computer vision, among other automation technologies.

“Similarly, experimental AI is making huge breakthroughs in the healthcare industry, with the power to replace the need for human, expert diagnoses.

“What we are seeing is from those businesses that are prepared to invest heavily in AI and data analytics, is they are already outperforming their competitors – and so demand for talent in this area shows no signs of wavering.”

To download a copy of the report click here.

In a world awash with a seemingly never-ending list of technology buzzwords such as automation, machine learning and Artificial Intelligence…

In a world awash with a seemingly never-ending list of technology buzzwords such as automation, machine learning and Artificial Intelligence (AI) to name a few, AI is one such technology that is moving away from simple hype and stepping closer to reality in procurement.

Here, CPOstrategy looks at 5 ways in which AI is being utilised in procurement…

This featured in the August issue of CPOstrategy – read now!

Efficiency and accuracy

Procurement, by its very nature, is tasked with handling huge quantities of spend and with spend comes spend data. Often described by leading CPOs as a repetitive task, understanding and sorting that spend data is now being achieved through the implementation of AI.

Through the use of AI, procurement teams can remove human error, increase efficiency and realise greater value from spend data.

Chatbots

One of the biggest ways in which AI is being implemented around the world is in the customer interaction space. In telcos, for example, customer support can now be handled via a highly developed AI chatbot that uses legacy data and context to provide real-time, and unique, solutions for customers.

In procurement, chatbots follow a similar path for both internal and external customers.  With tailored and context-aware interactions, chatbots create an omni-channel user experience for all stakeholders in the procurement ecosystem.

Supplier risk identification

Procurement and risk go hand in hand and one of the biggest risks is identifying and working with the right partner. Working in partnerships, which ultimately proves to be a failure, can be extremely costly and so AI is now being used to reduce the risk of failure.

Machine Learning technology, powered by AI, captures and analyses large quantities of supplier data, including their spend patterns and any contract issues that have emerged in previous partnerships, and creates a clearer picture of a supplier in order for the procurement teams to be able to identify whether this particular partner is right for them – without spending a penny.

Benchmarking efficiency

Benchmarking is key to any organisation’s ambition to measure and continuously improve its processes, procedures and policies. In procurement, organisations such as CIPS are used as examples of best practice in which procurement functions all over the world can benchmark against and identify any gaps.

Similar to supplier risk identification, AI can be implemented within ERP systems to analyse the entirety of data that passes through procurement and present this key data in easy to digest formats.

Examples include data classification, cluster analysis and semantic data management to help identify untapped potential or outliers in which procurement teams can improve their processes.

Purchase order processing/Approving purchasing

Procurement has evolved from its traditional role as simply managing spend into a strategic driver for a number of organisations all around the world.

As the role of the CPO has changed, technology such as AI has been implemented to free up their time from the menial tasks (such as PO processing and approving purchases), allowing them to spend more time in areas of growth. 

AI software can be used to automatically review POs and match them to Goods Receipt Notes as well as combining with Robotics Process Automation (RPA) to capture, match and approve purchases through the use of contextual data. This contextual data allows AI to identify and make decisions based on past behaviour.

Liked this? Listen to Natalia Graves, experienced Chief Procurement Officer, discusses the complexities of digital transformation in procurement!

By Robert Douglas, Europe Planning Director at Adaptive Insights, a Workday company Now, more than ever, agility is the currency…

By Robert Douglas, Europe Planning Director at Adaptive Insights, a Workday company

Now, more than ever, agility is the currency of success. And while agility may be about responding intelligently to the changing nature of the marketplace, those responses must be rooted in a plan. Today, many organizations leverage newer technologies in the cloud for planning, having moved away from manual spreadsheets. And while the cloud offers greater collaboration and the ability to easily combine both historical and real-time data, it’s just the beginning. Digital transformation is changing and will continue to change the definition of best practice planning in organisations. As such, the next step for business planning revolves around two key areas—advancements in AI and machine learning, and increased automation.

The power of ‘what if’

What-if scenarios are already incredibly powerful for strategic decision-makers. Organisations can model different versions of the future based on historical information and predictive analytics before choosing the best path forward. Consolidating executional data within organisations is the first step in capitalising on future AI opportunities. However, there is a lot more to come. In fact, compared with what AI is going to make possible, scenario planning is still in its infancy.

Today’s scenario planning is a good proof of concept, but as long as humans are driving the creative process—it relies on people to ask the right questions of the right data—what-if planning is going to be constrained by available resources. The most advanced decision-making today is typically supported by a few best-estimate scenarios—maybe four or five at most. However, in truth, there are many more possible futures to potentially prepare for, and what looks like best practice now is going to seem vastly limited in scope before too long.

As the volume and variety of available data grows, and access to that data gets easier, AI and machine learning algorithms will make it possible to drill down, consolidate, and leverage incredibly granular information at the highest levels.

AI and machine learning use cases

To consider how these AI and machine learning algorithms will work, let’s look at a use case of a CEO aiming to achieve a 40 percent growth target over a two-year period and wants to model what that looks like to present at the annual executive offsite. AI and machine learning-enabled planning could help to quickly and automatically find the optimal growth path, while accommodating any conditions and assumptions on the fly.

Essentially, the planning system could measure historical performance and recommend a market segment mix strategy, along with the associated budget increases in the specific marketing and sales activities needed to support it. If they then decide they need to cap growth in sales to smaller businesses in order to also expand into enterprises and international markets—while also maintaining expenses at a certain increase—an alternative, optimised model could be quickly created without any manual lifting.

A future with machine learning

The future of business planning is not just about thinking bigger—it is about making better decisions and operationalising them faster. That’s where machine learning comes in. Increased automation, driven by algorithms, is going to blur the boundaries between planning, execution, and analysis until planning cycle times have all but evaporated.

Planners will be able to ask deep, complex strategy questions and see the results modelled in real time. As the data becomes more trusted, they will be able to make significant, informed, “just-in-time” decisions, confident in the patterns surfaced in the data. And as the line between planning and transactions systems begins to blur and disappear, plans will automatically cascade down to operational departments—even down to individual workflows—in real time.

‘Strategy’ will become the province of human-driven innovation while planning becomes an organic, ongoing exercise of continuous improvement inextricably linked to the transactional systems that execute plans.

Leading the change

Today finance acts as the central junction within business planning and is, therefore, a natural steward for change, helping normalise new habits and behaviours for the rest of the organisation. As such, there is a strong case to be made for finance teams to double down on their new position as stewards of change by acting as transformation leaders—both for existing processes, and for future, unknown developments.

Finance’s role will change significantly in order to leverage technology developments in the data-driven, AI future. Driving collaboration with business partners, breaking down data silos, and embracing new technologies and processes to keep pace with today’s rapidly changing business environment will be key. The result will be an augmented, intelligent planning process that delivers true business agility.

Everyone wants to implement Artificial Intelligence (AI) and Business Intelligence (BI) solutions. AI alone is anticipated to generate $15.7 trillion…

Everyone wants to implement Artificial Intelligence (AI) and Business Intelligence (BI) solutions. AI alone is anticipated to generate $15.7 trillion in GDP by globally 2030, and as this market grows, AI and BI will shift from industry buzzwords, to key market differentiators, before eventually becoming the new normal in the corporate landscape.

Yet bringing AI and BI on board is a big leap if it’s your first major data project. Stibo Systems’ Claus Jensen, Head of Emerging Technology, comments on the role of MDM as a vital foundation to implement emerging data technology.

Most CEOs don’t trust their own data.*

Let that sink in for a moment.

Almost every business is looking to data solutions to fuel the next phase of growth and innovation. AI and BI are firmly on the agenda, yet a report by Forbes Insights and KPMG found 84% of CEOs are concerned with the quality of the data they’re basing their decisions on.

That’s a significant disconnect. Businesses at board level want to implement ‘next generation’ data projects, but don’t trust the data that will be fed into them. For CDOs and other data leads, this presents a difficult situation. They need to meet demand for cutting-edge data projects, knowing that there is a certain level of mistrust in the data at their disposal.

For many CDOs, that mistrust isn’t limited to the CEO. Think about the data you are currently processing: how confident are you that it’s being accurately sourced, entered, saved, stored, copied and presented? How well do you know that data journey once it leaves your sphere of control? Are you certain that a single source of truth is being maintained?

The data gold rush

It may only be major data breaches that make the headlines, but in the global gold rush for data, too many businesses fail to accurately extract, store and interpret data.

Mistakes are made at every stage in the process – in fact, so bad are we at processing data, a report by Royal Mail Data Services claims that around 6% of annual revenue is lost through poor quality data.

It’s equally bleak in the US, where Gartner’s Data Quality Market Survey puts the average cost to US business at $15 million per year.

Despite this, we’re rapidly moving the conversation from data capture to artificial intelligence (AI), business intelligence (BI) and connected devices (IoT) – and for good reason.

Putting aside the issue of bad data (we’ll come back to that), businesses now have access to more data than they can handle – according to SAS’ Business Intelligence and Analytics Capabilities Report, 60% of business leaders struggle to convert data into actionable insights, and 91% of companies feel that they are incapable to doing it quickly enough to make useful changes. 

Business Intelligence and Analytics Capabilities Report

In large businesses, where data streams are blended from many sources, machine learning can help data scientists monitor figures to flag outliers, irregularities and noteworthy patterns.

Once flagged, business leaders can use BI to bring those patterns to life, helping pave the way for the most appropriate, and profitable, action.

Stibo Systems’ Head of Emerging Technology, Claus Jensen, believes it’s only a matter of time before we see AI regularly used within business product features – with machine learning automating tasks thanks to effective data interpretation.

Jensen and his team are working at the forefront of data: building master data management solutions in conjunction with AI and BI. “We’re entering into a new era of data analytics,” says Jensen. “Data scientists aren’t going away, but they can do more and more high-level work as certain use cases are solved by AI.” 

One of these use cases is machine learning-based auto classification. “For retailers onboarding thousands and thousands of new products every month, it’s really time consuming for them to have the vendor categorise the product into the vendor taxonomy.

“Machine learning can automate this based on product description and image.”

Running before we can walk

As exciting as this sounds, businesses eager to install new uses for data often face significant challenges: their data isn’t watertight, or it’s siloed, often both.

In a piece penned for the Financial Times, Professor of Economics at Stanford Graduate School of Business, Paul Oyer, wrote: “Smart managers now know that algorithms are as good as the data you train them on.” In other words, AI (and analytics for that matter) can only ever be as good as the date you feed it.

Which brings us back to the question of trust. What needs to happen for CEOs to trust their own data?

While there’s no single answer to this question, a master data management (MDM) solution is a good place to start.

“You can think of MDM as the foundation, a layer, that provides a single source of the truth for data,” explains Jensen. “Analytics and machine learning is only useful if the data you’re working on is accurate. That’s where MDM comes in; it ensures information presented, and actions taken, are based on fact and reality.

“Otherwise, business analytics is just a nice and colourful way to look at bad data, and what’s the point in that?”

To find out more about how MDM can turn data into business value through actionable insights, forming a solid foundation to AI and BI, visit https://www.stibosystems.com/solution/embedded-analytics-platform.

In today’s market expectations are growing and the stakes are high, with one mistake potentially costing a retailer their reputation….

In today’s market expectations are growing and the stakes are high, with one mistake potentially costing a retailer their reputation. Due to this level of risk, brands find reducing their hands on approach to processes difficult, but what they don’t realise is that technology such as Artificial Intelligence and Machine Learning could prove to be their hero, not their villain. Entrusting their data and brand values to such technologies may seem like a scary step, but as David Griffiths, Senior Product Marketing & Strategy Manager, Adjuno, discusses, it’s one that will free up retail teams to add value and cut costs.

In AI should we trust?

There is a great deal of obstacles to overcome when it comes to the stigma attached to AI. A key challenge facing the progression of this technology is that individuals simply do not trust it. The fear of the unknown is one concern that pops up most commonly, with people battling a perceived perception that those who use this technology will lack control.

But a new age of retail is approaching and there is now an even greater need for brands to define their processes in order to keep up. Consumers want to receive products that are of a high-quality and they want to receive them now. These expectations are taking us beyond the traditional methods of retailing and leading us into a world immersed in technology, a world that benefits from the helping hand of AI.

Informing key decisions

With AI, retailers will be able to gain valuable insights in warehouse management, logistics and supply chain management, and make more informed and proactive decisions. This technology makes it easier to analyse huge volumes of data in an efficient fashion, helping to detect patterns and providing an endless loop of forecasting. Using this knowledge to identify factors and issues impacting the performance of the supply chain, such as weather events, retailers will be able to take a forward-thinking approach to decision-making. An approach that will lead to reduced costs and delays. 

By extending human efficiency in terms of reach, quality and speed, this technology can also help to eliminate the more mundane and routine work that’s faced by employees across the retail spectrum. From tackling flow management by assessing key products to ensuring there is enough stock available to improving production planning, a more informed use of time will help equip brands to face every consumer request and demand.

This is particularly important for those brands whose product line extends further than apparel wear, and steps into the realm of hardware. With diversity comes a need for more proof points and in turn, an extended volume of data. Retailers will be battling to work across an even greater number of suppliers and distribution centres, and accommodating the expectations of a larger customer base. Considering this, it is fundamental that every last bit of data is refined and utilised to streamline processes. AI is providing retailers with a platform to do this, offering the potential for significant changes across the entire product journey.

A data conundrum  

The benefits of using AI to consolidate data are endless. Traditionally, teams have relied on spreadsheets to collate information, hindering their ability to forward plan. With AI this is no longer the case, a much more accurate picture of the hero products, sizes and colours likely to sell, can be achieved by looking at multiple scenarios in real time and pulling them together.

This doesn’t mean that AI will replace creative buying teams. AI doesn’t forecast trends, it can’t predict what consumers will be buying in 2020, it can only report on the product lines. It can however help buying teams assess partners, analyse stock patterns, track costs, enable capacity planning and help optimise shipments. This data is invaluable to teams, especially for any new buyers who may need extra guidance. 

Conclusion

AI is set to transform the retail scene as we know it. But in order to make implementation a success, there shouldn’t just be a focus on the evolution of data management, there must be an evolution of mindsets too. After all, if a retailer fails to jump on board with AI and embrace a new era of change, then their customers will be the ones who suffer.

Companies that use voice plus touch interactions with their products and services are actually seen as less trustworthy and less…

Companies that use voice plus touch interactions with their products and services are actually seen as less trustworthy and less engaging by their users, according to new research from emlyon business school.

The research, conducted by Margherita Pagani, Director of the AIM Research Center on AI in Value Creation and Professor of Digital Marketing at emlyon business school, and colleagues from ESSCA School of Management and Florida State University, College of Business, analysed the impact and differences between ‘touch’ interaction and ‘touch and voice’ interaction on personal consumer engagement and brand trust.

The researchers created two separate experiments, focused on a utilitarian product and then a hedonic product, both of which had over 90 participants belonging to generation Y, which is commonly equipped with the latest smartphones and frequently use them for business interactions. For both experiments, participants had to interact with the brand using their smartphone including a phone call to the company to ask a specific set of questions.

One group was required to interact with the brand through the smartphone using a touch-only interaction, and the other used both touch and voice interaction – either Apple’s Siri or OK Google. After interacting with the company, participants were asked to rate their customer experience. The participant’s answers were then measured to evaluate personal engagement with the tasks, their level of trust with the brand and their privacy concerns.

The researchers found that participants who used the touch-only interaction experienced a much higher level of personal engagement with the brand compared to those who used the touch plus voice interaction.

Prof. Pagani says,

“Many companies have introduced new AI products that use voice-activation such as Amazon’s Alexa, Google’s Home Assistant or Apple’s Siri. These have been introduced in order to increase customer experiential engagement, stimulate the interaction and collect more data that allow to better personalise the experience through machine learning.  However, our study shows that in the initial phase of adoption, adding voice recognition actually has the opposite desired effect. Even if voice may be considered as a way to develop a much more natural interaction, the level of cognitive efforts required to the brain using two sensory modes (voice and touch) are higher. Therefore, consumers find it harder to completely engage with the product and can easily be distracted”.

The researchers also found that participants who used the touch-only interaction felt as though they had more control over the information they shared and therefore had greater confidence in the brand. Users stated that they found it much simpler to input information using only one sensory method; touch.

“The lack of familiarity with how these digital voice interactions actually work is likely to be the reason as to why consumers are less trusting of brands that use both touch and voice. Whilst the use of touch also garners much more control for a consumer, as opposed to voice”.   The study, published in the ‘Journal of Interactive Marketing’ is the first of its kind to explore the effects of new voice-based interface modes on marketing relationships. Whilst technology multiplies the way that consumers can interact with brands, this study shows that too much interaction can actually harm a company, and offers managers guidance on how to increase personal engagement and brand trust.

Welcome to the June issue of Interface Magazine! Read the latest issue now! This month’s cover features Gary Steen, TalkTalk’s…

Welcome to the June issue of Interface Magazine!

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This month’s cover features Gary Steen, TalkTalk’s Managing Director of Technology, Change, and Security, Gary Steen regarding the telco’s commitment to thinking, and acting, differently in a highly competitive marketplace…

TalkTalk is an established telecommunications company that fosters a youthful, pioneering spirit. “I like to think of TalkTalk as a mature start-up,” says Managing Director of Technology, Change and Security, Gary Steen. “We are mature in terms of being in the FTSE 250, with over four million customers, relying on our services every day through our essential, critical national infrastructure. But that said, I definitely think we start our day thinking as a start-up would. What can we do differently? How do we beat the competition? How do we attract great talent? We’ve got to come at this in a different way if we are going to succeed in the marketplace. We are mature, but we think like a start-up.”

Elsewhere we speak to Natalia Graves, VP Head of Procurement at Veeam Software who reveals the secrets to a successful procurement transformation. Graves was tasked with looking at the automating, simplifying, and accelerating of Veeam’s procurement and travel processes and systems around them, including evaluating and rolling out a company-wide source-to-pay platform. “It has been an incredible journey,” she tells us from her office in Boston, Massachusetts. We also feature exclusive interviews with PTI Consulting and cloud specialists CSI.

Plus, we reveal 5 of the biggest AI companies in fintech and list the best events and conferences around.

Enjoy the issue!

Kevin Davies

IPsoft has introduced 1Bank, the first conversational banking solution featuring virtual agent Amelia. It has been rated the top virtual…

IPsoft has introduced 1Bank, the first conversational banking solution featuring virtual agent Amelia. It has been rated the top virtual agent in conversational AI by Everest Group.

Chetan Dube, CEO at IPsoft, commented: “With 1Bank we provide the most humanlike digital experience in the marketplace, built from the knowledge we’ve gained serving six of the world’s leading banks with conversational AI. We are giving banks the possibility of providing customers with their own personal banker around the clock.”

1Bank answers FAQs, but also resolves complex customer needs, by understanding customer intent. It can also switch context, mid-conversation. Its machine learning Learning (ML) abilities also mean that 1Bank can improve over time.

Some of the tasks 1Bank can carry out are:

  • advising on unpaid bills, proactively informing customers of an incoming bill and communicating any insufficient funds, making a money transfer and asking if the customer wants to set up payment for the bills when they are due.
  • recommending and setting up recurring payments, making payments from different accounts, opening and closing accounts.
  • helping customers locate transactions.
  • assisting with individual and potentially fraudulent charges on credit cards and disputing them, getting a new pin, getting a balance transfer or applying for a new credit card.
  • creating travel alerts after a customer made an airline purchase and proactively recommending the next step, such as, when traveling to exchange and withdrawing cash.

1Bank can integrate with existing tools and interfaces, and it can be added to existing applications to help customers quickly access the information and service they need. This includes mobile apps, desktop or kiosk apps, website modules, or within consumer chat applications, such as Facebook Messenger and Amazon Echo.

It is a measure of how much we take sophisticated technology for granted that the appearance of a pop-up chatbot…

It is a measure of how much we take sophisticated technology for granted that the appearance of a pop-up chatbot screen, asking questions and providing sensible responses, is no longer considered remarkable.

Chatbots today inhabit websites, intranets, apps, and social media platforms, and have become so ubiquitous as to become almost invisible. Interacting with a text screen is a natural activity, and most users don’t seem to care much about whether the other side of the conversation is a human or a bundle of code.

From a corporate perspective, chatbots can be a win/win. Increasingly reliable in their responses and cheap to operate, they are available night and day and are instantly scalable. Whether your site or app has one visitor a day or thousands, the bot is always eager to help.

We’ve come a long way from the disastrous early attempts at providing AI assistance – remember Microsoft’s paperclip? – but what a good chatbot does today is much the same as that much-loathed animated character: identify what a user is trying to do, and offer appropriate help.

Artifical intelligence

You will have heard of the Turing Test, which held that if a computer could provide responses that were indistinguishable from those of a human, the machine had to be considered intelligent. Are we there yet?

Despite some well-publicised claims, the answer is still, probably, no. In 2014 a program called Eugene Goostman successfully tricked Turing Test judges into believing it was a 13-year-old Ukrainian boy. This controversial victory is still a failure, though, because nobody expects or wants to find an adolescent behind a real-world help screen.

More relevant is the Loebner Prize for the most convincing chatbot. This awards bronze medals each year to the best contenders, but has never made a silver (text) or gold (audio visual) award – the equivalent of a Turing Test pass.

A glance at the best entries from the 2018 competition shows why. Eleven bots were asked 20 questions, winning two points for a human-like answer and one for a plausible response. Out of a maximum of 40 points, the winner scored 27 and the lowest just 12.

Even simple questions can make the tech fall over. The winner, a chatbot called Tutor by Ron C Lee, answered “Do you know how to make toast?” with “No, we haven’t”.

Chatbot limitations

While there remain limits on what a chatbot can convincingly do, this need not be a problem if it is deployed in the right way. Recent research from Penn State University found that while many appreciate an apparently empathetic response from a bot, those who believe machines are actually capable of consciousness do not.

“The majority of people do not believe in machine emotion, so took expressions of empathy and sympathy as courtesies,” said researcher Bingjie Liu. “However, people who think it’s possible that machines could have emotions had negative reactions from the chatbots.”

The answer is only to use them for things they are good at, says James Williams, who leads the development of advanced chatbots with Nottingham-based software company MHR. While chatbots are now common in consumer interfaces, he notes, there is much potential in the enterprise space.

Business bots

When applied within the company’s flagship human resources (HR) software, Williams says the conversational interface is an excellent way to simplify common transactions. “You’ll hear us talk a lot about reducing friction,” he says, which means anything that slows down a routine interaction.

An example is an employee submitting an expenses claim, which MHR’s Talksuite does through an AI-driven chatbot. “Taking a picture of a receipt is a natural thing to do, and the AI will recognise the image, understanding the content as well as the context. Bots are really good for processes with lots of rules or lots of steps, and here it just asks a few questions and saves the employee a lot of hassle. Less friction.”

Knowing when not to deploy a bot can be just as valuable. Williams recounts one client which had deployed a complex chatbot for its newly joining employees, known in HR circles as the onboarding process. “The chatbot went through everything plus the kitchen sink, so the employee was there for 20 minutes or more being interrogated by a machine. It was just awful. A web-based form is a much better interface in this situation.”

His final advice is to consider the image the bot projects. “Any personality in a chatbot tends to come accidentally, unlike a website or an app. If you let software developers write the conversation, you might end up with a bot that’s actually a bit of a dick. People make judgements on things like language and punctuation. It’s fine to be personable and friendly, but it should be clear when the user is talking to a bot and when any transition to a human interaction takes place.”

Quest Solution Inc, provides supply chain and artificial intelligence (AI) based machine vision solutions. It has been awarded a project by…

Quest Solution Inc, provides supply chain and artificial intelligence (AI) based machine vision solutions. It has been awarded a project by a leading supply chain and logistics provider in the US. The release doesn’t detail who the leading supply chain provider is, but it does reveal that the project is valued at around $US7 million.

A patent that will allow for a robot to live at your home and handle your deliveries has been filed by Amazon. The patent outlines plans for a robot that will completely transform last mile delivery capabilities, even potentially delivering packages in the early hours between 2am and 6am.

Back to AI, NFI Industries and Transplace are paying attention to this technology through partnerships with firms that add AI capabilities to transportation and distribution. Both companies have announced a partnership with Noodle.ai with the goal of enhancing logistics services and technology capabilities.

In a video interview with CNBC, Lance Fritz, the CEO of Union Pacific, is concerned that supply chain disruption won’t return to normal. He believes the biggest concern lies in trade and that the challenges with China should be resolved as soon as possible.

In an interview with Sky News, Peter Schwarzenbauer, BMW board member responsible for Mini and Rolls Royce, has said that the firm will need to think about moving production from the UK in the event of a no-deal Brexit. Remaining would be too costly for the organisation and some production would move to countries like Austria. Toyota shares similar concerns with Johan van Zyl, head of Toyota’s European operations, telling the BBC that Brexit hurdles would ‘undermine Toyota’s competitiveness’.

Blockchain remains an interesting solution for many in the supply chain and Blockchain Labs for Open Collaboration (BLOC) has recently started working with NYK, a Japanese shopping company, and BHP, a mining company, to establish a sustainable biofuel supply chain using BLOC’s blockchain fuel assurance platform.

Also in the news: HighJump, a global supply chain solutions provider, awarded five women in its Top Women Leaders in Supply Chain awards; Cryptobriefings Kiana Danial examines whether VeChain can deliver a supply chain solution; Apple releases a supply chain document that reveals how iPhone, airpods and other products are all zero waste; and SIGTTO GM, Andrew Clifton, looks to the LNG supply chain.