Author

Sean Galea-Pace

Published

8 May 2024

Estimated Read time

7Mins

Satya Mishra, Director, Product Management at Amazon Business, discusses how CPOs have become an important voice at the table to drive digital transformation and efficient collaboration.

Harnessing efficiency is at the heart of any digital transformation journey.

Digitalisation should revolve around driving efficiency and achieving cost savings. Otherwise, why do it?

Amazon is no stranger to simplifying shopping for its customers. It is why Amazon has become a global leader in e-commerce. But, business-to-business customers can have different needs than traditional consumers, which is what led to the birth of Amazon Business in 2015. Amazon Business simplifies procurement processes, and one of the key ways it does this is by integrating with third-party systems to drive efficiencies and quickly discover insights. 

Satya Mishra, Director, Product Management at Amazon Business, tells us all about how the organisation is helping procurement leaders to integrate their systems to lead to time and money savings.

Satya Mishra: “More than six million customers around the world tap Amazon Business to access business-only pricing and selection, purchasing system integrations, a curated site experience, Business Prime, single or multi-user business accounts, and dedicated customer support, among other benefits.

“I lead Amazon Business’ integrations tech team, which builds integrations with third-party e-procurement, expense management, e-sourcing and idP systems. We also build APIs for our customers that either they or the third-party system integrators can use to create solutions that meet customers’ procurement needs. Integrations can allow business buyers to create connected buying journeys, which we call smart business buying journeys. 

“If a customer does not have existing procurement systems they’d like to integrate, they can take advantage of other native tools, like a Business Analytics dashboard, in the Amazon Business store, so they can monitor their business spend. They can also discover and use some third-party integrated apps in the new Amazon Business App Center.”

Why would a customer choose to integrate their systems? Are CPOs leading the way?

Satya Mishra: “By integrating systems, customers can save time and money, drive compliance, spend visibility, and gain clearer insights. I talk to CPOs frequently to learn about their pain points. I often hear from these leaders that it can be tough for procurement teams to manage or create purchasing policies. This is especially if they have a high volume of purchases coming in from employees across their whole organisation, with a small group of employees, or even one employee, manually reviewing and reconciling. Integrations can automate these processes and help create a more intuitive buying experience across systems.

“Procurement is a strategic business function. It’s data-driven and measurable. CPOs manage the business buying, and the business buying can directly impact an organisation’s bottom line. If procurement tools don’t automatically connect to a source of supply, business buying decisions can become more complex. Properly integrated technology systems can help solve these issues for procurement leaders.”

Satya Mishra, Director, Product Management at Amazon Business

Beyond process complexity, what other challenges are procurement leaders facing?

Satya Mishra: “In the Amazon Business 2024 State of Procurement Report, other top challenges respondents reported were having access to a wide range of sellers and products that meet their needs, and ensuring compliance with spend policies. 

“The report also found that 52% of procurement decision-makers are responsible for making purchases for multiple locations. Of that group, 57% make purchases for multiple countries.

“During my conversations with CPOs, I hear them say that having access to millions of products across many categories through Amazon Business has allowed them to streamline their supplier quantity and reduced time spent going to physical stores or trying to find products they’re looking for from a range of online websites. They’ve also shared that the ability to ship purchases from Amazon Business to multiple addresses has been very helpful in reducing complexity for both spot-buy and planned or recurring purchases. Organisations may need to buy specific products, like copy paper or snacks, in a recurring way. They may need to buy something else, like desks, only once, and in bulk, at that. Amazon Business’ ordering capabilities are agile and can lessen the purchasing complexity.”

How should procurement leaders choose which integrations will help them the most? 

Satya Mishra: “At Amazon Business, we work backwards from customer problems to find solutions. I recommend CPOs think about what existing systems their employees may already use, the organisation’s buying needs, and their buyers’ typical purchasing behaviors. The buying experience should be intuitive and delightful. 

“Amazon Business integrates with more than 300 systems, like Coupa, SAP Ariba, Okta, Fairmarkit, and Intuit Quickbooks, to name just a handful. With e-procurement integrations like Punchout and Integrated Search, customers start their buying journey in their e-procurement system. With Punch-in, they start on the Amazon Business website, then punch into their e-procurement system. With SSO, customers can use their existing employee credentials. Our collection of APIs can help customers customise their procure-to-pay and source-to-settle operations. This includes automating receipts in expense management systems and track progress toward spending goals. 

“My team recently launched an App Center where customers can discover third-party apps spanning Accounting Management, Rewards & Recognition, Expense Management, Integrated Shopping and Inventory Management categories. We’ll continue to add more apps over time to help simplify the integrated app discovery process for customers.

“Some customers choose to stack their integrations, while others stick with one integration that serves their needs. There are many possibilities, and you don’t just have to choose one integration. You can start with Punchout and e-invoicing, for example, and then also integrate with Integrated Search, so your buyers can search the Amazon Business catalog within the e-procurement system your organisation uses.”

Are integrations tech projects?

Satya Mishra: “No, integrations should not be viewed as tech projects to be decided by only an IT team. Integrations open doors to greater data connectivity and business efficiencies across organisations. Instead of having disjointed data streams, you can connect those systems and centralise data, increasing spend visibility. You may be able to spot patterns and identify cost savings that may have gotten lost otherwise. 

“It’s not uncommon for me to hear that CPOs, CFOs and CIOs are collaborating on business decisions that will save them all time and meet shared goals, and integrations are in their mix of recommendations. 

“One of my team’s key goals has been to simplify integrations and bring in more self-service solutions. In terms of set-up, some integrations like SSO can be self-serviced by the customer. Amazon Business can help customers with the set-up process for integrations as well.”

How has procurement transformed in recent years?

Satya Mishra: “Procurement is no longer viewed as a back-office function. CPOs more commonly have a seat at the table for strategic cross-functional decisions with CFOs and CIOs.

“95% of Amazon Business 2024 State of Procurement Report respondents say the purchases they make mostly fall into managed spend. Managed spending is often planned for months or years ahead of time. This can create a great opportunity to recruit other stakeholders across departments versus outsourcing purchasing responsibilities. Equipping domain experts to support routine purchasing activities allows procurement to uplevel its focus and take on higher priorities across the organisation, while still maintaining oversight of overarching buying patterns. It’s also worth noting that by connecting to e-procurement and expense management systems, integrations provide easy and secure access to products on Amazon Business and help facilitate managed spend.”

What does the future of procurement look like?

Satya Mishra: “Bright! By embracing digital transformation and artificial intelligence to form more agile and strategic operations, CPOs can influence the ways their organisations innovate and adapt to change.”

Read the latest CPOstrategy here!

Author

Sean Galea-Pace

Published

11 March 2024

Estimated Read time

9Mins

Edmund Zagorin, Founder of Arkestro, discusses his company’s rise as a predictive procurement orchestration platform.

“What if there was a better way to compare quotes from suppliers?”

This question led Edmund Zagorin down a road of discovery which culminated in turning an idea into a start-up.

While working as a procurement consultant, Zagorin observed how much time his sourcing teams spent building Excel pivot tables. The problem? Category experts needed to identify potential errors in supplier submissions at the item level before an award scenario could be properly evaluated. Together with childhood friend Ben Leiken, who had risen to become an engineering and product leader at SurveyMonkey, the idea was to find a way to automatically pre-populate text in a sourcing project with little to no manual data entry required from procurement users of suppliers. Leiken had seen firsthand the impact that so-called “smart defaults” could have on survey completion. And Zagorin knew that in procurement, more completions would mean more supplier offers, which could yield better commercial outcomes for the procurement team. Arkestro, then Bid Ops, was born.

Studies show that when procurement is able to predict a plausible range of commercial outcomes ahead of a supplier offer, there is enormous leverage created when the buying entity names the price. Summarising the past decade of research, Lewicki et al.’s 2007 “Essentials of Negotiation” states that “…whoever, the buyer or the seller, made the first offer… determined the final selling price, with higher final prices when a seller made the first offer than when a buyer made the first offer.”

For this reason, Arkestro customers began delivering material higher cost savings outcomes than traditional RFPs and RFQs, a fact that caught the attention of Ariba co-founder Rob DeSantis. Together, Zagorin and DeSantis brought together an experienced management team, led by IBM and Ariba alum Neil Lustig as CEO. Lustig’s experience as CEO of Vendavo, a predictive pricing company used by sell-side teams to achieve better negotiated outcomes, made him ideal to scale Arkestro into a global juggernaut.

Edmund Zagorin, Founder, Arkestro

Today, Arkestro is the leading predictive procurement orchestration platform that enhances the impact of procurement’s influence, especially for large manufacturing enterprises across any procurement activity and spend category that involves collecting a quote from a supplier. Arkestro turns the traditional procurement process on its head: instead of the supplier creating a quote or proposal and then a procurement analyst using competitive offers and benchmark data to decision the desirability of that offer or action an approval, Arkestro customers use a predictive model to benchmark a potential quote before contacting suppliers, putting procurement in a position of leverage to either ask for their desired outcome using an AI-generated Suggested Offer or generate an Instant Counter-Offer to any quote.

Arkestro then helps customers persistently monitor the changes in quoted price for this item across all procurement activities, tracking trends and changes and helping teams proactively uncover the optimal procurement configuration for each item and basket with respect to timing, geography, quantity, lead time and other attributes.

By embedding game theory, behavioural science and machine learning models directly into the procurement process, Arkestro enables customers to dramatically accelerate cost reduction projects, often with existing preferred suppliers and attain their best available cost outcome for every unique item more frequently and at greater scale across their spend. This predictive procurement approach is especially helpful for technical procurement categories such as highly engineered components, materials and capital equipment, as well as categories like metals, chemicals, food ingredients, MRO, packaging, logistics and even IT.

Enterprises who are on a journey to create sustainable and antifragile data quality for their procurement function are turning to Arkestro as the predictive approach eliminates the two manual steps that tend to introduce errors into item-level identifiers: the step where the supplier creates a quote, and the step where procurement analysts have to validate, correct, give feedback and approve it. By using a predictive model to generate and validate supplier offers, Arkestro offers a continuous improvement path for enterprises whose digital procurement journey includes cleansing item-level data to create a true item-based “data foundation.”         

Transformation journey

And since its founding in 2017, Arkestro has been on quite the transformation journey. The company has expanded rapidly and scaled its product – as well as for spend categories and industries served – globally. In a little over half a decade, Zagorin, Leiken and their team have created a true enterprise grade AI infrastructure platform that can be embedded into the likes of spend management giants SAP Ariba or Coupa or used as a standalone database and application.

Despite significant success in a relatively short space of time, Zagorin is keen to stress that his initial vision was to solve a problem that he was also experiencing in the market. “Our growth has corresponded to a great degree with a widening of the aperture of where we feel predictive technologies can make an impact for procurement teams,” he discusses. “I think one of the other things just from a paradigm standpoint is that procurement processes involve a lot of manually created data. There’s a lot of data entry on the supplier side, procurement side and on the stakeholder side throughout the process. Every keystroke in every process introduces the possibility of human error.”

Predictive procurement is a new approach that suggests the data before a human user enters it. What Arkestro has introduced is the idea of predictive and working with customers to apply that at different stages of the procurement process through AI. “One of the things that’s also been interesting, and you’ve seen this in other areas of AI, is that you can cross a threshold where at some point in the model it gets good enough that it really provides exponentially more value as it’s being used,” he says. “As opposed to software, which traditional software degrades over time, it gets stale and the interface feels clunky. As new interfaces come out, AI has almost the opposite dynamic where it actually gets better. It’s smarter by itself just by people using it. That’s also been pretty exciting to see.”

Procurement’s evolution 

Indeed, the procurement space is in a state of flux. Amid significant transformation driving the function forward, it has never been such an exciting time to be involved in the industry. The rise of AI and machine learning is having a seismic impact with there also being hopes that new technology could reduce the need to bridge talent gaps.

“If you asked five years ago what’s holding procurement back from digitally transforming the operation and living out your full potential, I think a lot of procurement professionals would’ve said how hard it was to hire,” Zagorin explains. “People were saying: ‘Oh we have data quality issues where it’s really hard to actually know what we’ve spent, what our spend per supplier looks like for our core geographies, let alone what we paid for each individual item. We went out and bought a bunch of digital platforms and we’re struggling to gain adoption which is related to the data quality issues.’ This is what I heard from executives when I was working in procurement. Because traditionally,  if you have a process and it’s not being consistently used, then it’s not going to accurately represent the most important attributes or business logic of the data that’s moving through it.”

Despite the positive introduction of tech innovation, procurement has also had its challenges. Supply disruption as a byproduct of COVID-19, wars in Ukraine and in Israel as well as inflation concerns, it is fair to say the function has never been more talked about in the C-suite.

“Boom, there’s the next wave of Covid, or suddenly there’s a war somewhere in the world,” he shares. “It has felt like there’s always something and it really creates context switching for procurement teams which is stressful, plus being bad for productivity. This is especially the case for digital transformation projects in procurement, and it’s also demotivating because it makes people feel like they’re not making progress. This then means that the length of the project elongates and you have this kind of stuck-in-the-mud feeling that it’s hard to get quick wins and generate momentum. That’s what customers are thinking about as they are looking in the market to find a true partner not just for their digital journey, but for their AI journey.” 

Given the speed of procurement’s evolution, there are voices that believe the function requires a rebrand. Gone are the days of procurement being regarded as a back-office function hidden away out of sight, today it stands as an exciting, dynamic force at the forefront of innovation. “I live in California where job titles are a little bit looser generally,” explains Zagorin.

“If we look at procurement needing a rebrand, the big challenge that I see with procurement is that the structure of a lot of these categories doesn’t necessarily correspond with either the activities associated with them or with the relationships with the suppliers within those categories. What we have in procurement with ‘category management’ is we’re frequently asking procurement professionals to be a jack of all trades and master of none within their categories. Perpetual ‘crisis-mode’ is not a recipe for letting up-and-coming procurement professionals develop the category knowledge and domain expertise that are traditionally necessary.”

Procurement’s bright future

Looking ahead, Zagorin believes there has never been a better time to be working in procurement. “The profession has a lot to offer, and it really is this huge engine of value creation at most big companies,” he explains. “Arkestro serves enterprise manufacturing companies typically with multiple plant locations which buy at both the corporate and the plant level creating a lot of item-level data quality issues. What we’re seeing is the ability for companies to get live on Arkestro in a matter of days and often deliver a payback period for their entire solution costs in a matter of weeks.

“If you look at deployments of enterprise technology five years ago, that’s a stark difference in terms of what procurement’s promising versus what it’s delivering and the time-to-value. We have a new generation of startups, from intake to tail spend to what Arkestro does, more on the strategic side and or on technical procurement categories and direct materials, often starting with a bill of materials and handling all the back-and-forth with the suppliers up to allocation, awarding and the purchase order. You have this cohort of startups that’s just getting bigger and more people are using us to run large physical manufacturing operations. There’s not a lot of direct competition in the space of these growth-stage startups. 

“I think what’s going to happen is more and more companies are going to say if it makes business sense and we think there’s tangible value in doing it, then let’s find a way to test and learn. Let’s find a way to try it out to implement it in one geography or for one business unit or category and just see how it works. Five years ago, it was always easy to say we’re too busy or we have other stuff going on. What’s changing today is if you’re not testing and learning constantly from new technology, you’re going to miss out because the stuff that’s happening right now is world-changing.

“Generative AI and novel technical approaches to on-demand superintelligence are going to be as impactful to many enterprises as the development of the internet, not to mention human society at large. The people who are playing around with it and staying curious and running experiments are going to create a lot more value. They’re going to have a lot more fun, and they’re going to build great teams and organisations that lay the groundwork for the next generation of procurement professionals.”

Author

Sean Galea-Pace

Published

30 January 2024

Estimated Read time

3Mins

B2B procurement is headed for a new, more dynamic, digitalised era defined by a more strategic approach to traditional processes and new challenges.

The procurement industry isn’t a back-office function anymore. Much like the transition of IT departments from obscurity to the C-suite over the past 10-15 years, procurement is making its way into the limelight.

“We are entering a new era of smart business buying where senior leaders are understanding the impact procurement can have on efficiency and overall company success,” said Alexandre Gagnon, vice president of Amazon Business Worldwide, at a recent Amazon Business event attended by more than 1,000 procurement leaders across the public and private sectors.

“The procurement function is now cross-disciplinary, spanning both functional and strategic purviews as buyers are planning to invest more in technology and optimisation while future-proofing their companies and organisations,” added Gagnon.

Procurement’s transition

The 2024 State of Procurement Report released by Amazon Business in conjunction with the event points to an array of indicators that the nature of procurement is fundamentally changing. From the traditional procurement workloads concerned with day-to-day purchasing, to a more recently emerged responsibility of future-proofing the business against disruption (by another pandemic, for example), procurement’s goals are “ever-growing”.

In order to keep up, the discipline is “transforming at lightning speed,” claims Gagnon in the introduction to the report.

Data gathered from over 3,000 procurement professionals supports this inclusion. Key findings include the fact that 95% of decision-makers say their organisation currently has to outsource at least a portion of their procurement to third parties, the fact that 95% of decision-makers say their procurement function has “room for optimisation”, and 53% of respondents who say their procurement budgets will be higher in 2024 than they were this year.

Tech-driven procurement

Technology investment is expected to be high on the agenda, as procurement leaders attempt to bring increased visibility and resilience to their departments. A remarkable 98% of decision makers said they were planning to invest in analytics and insights tools, automation, and AI for their procurement operations, with the (anonymous) VP of purchasing at a major global bank in the US saying that “Making investments in the right tools and technology [is critical] because you rely on data as a procurement organisation. There is … spend data, contractual data, invoices, and more. Without the right tools in place, you can only do so much [with your data].”

Reflecting on the changing role of procurement in the modern enterprise, Gagnon added that “Ultimately, procurement not only keeps operations running, but plays an integral role in achieving key organisational goals, and with smart business buying, companies have procurement solutions to serve as a growth lever for organisations.”

By Harry Menear

Author

Sean Galea-Pace

Published

24 January 2024

Estimated Read time

3Mins

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

Author

Sean Galea-Pace

Published

11 January 2024

Estimated Read time

3Mins

Next generation AI tools can offer unparalleled visibility into the sustainability of organisations’ supply chains.

There are increasing pressures on procurement departments to be a driving force in their organisations’ sustainable goals.

The process of buying, shipping, and generally moving physical products about is one of the larger sources of carbon emissions for the modern enterprise.

For consumer companies, supply chain operations typically account for more than 80% of greenhouse gas emissions, creating “far greater social and environmental costs than its own operations”, according to a study by McKinsey. The environmental impact of a company’s operations, and their extent into Tier 2 and Tier 3 emissions, is also becoming a more prominent part of the conversation, making the decision of who to partner with and for what more pertinent to an enterprise’s sustainability goals than ever before—especially as T2 and T3 emissions become the target of new ESG regulation.

The path to sustainable practice is increased visibility into procurement practices, supply chain impact, and the supply chains of ecosystem partners. Increasingly, procurement teams are artificial intelligence (AI) for these insights.

Responsibly sourced startups

The demand for AI-powered sustainability in the procurement sector is already driving investment in promising new tools. The Copenhagen-based startup Responsibly was founded in 2021, and in October 2023 managed to leverage its work on AI-driven sustainable procurement tools into a $2.4 million funding round, aiming to further develop its project of  “democratising access to sustainable procurement”.

The company combines an AI model with large data sets to allow users to analyse their suppliers and potentially take action to restructure their procurement practices. The data analysed relates to suppliers’ carbon emissions and links to deforestation, but also their gender pay gap, human rights records, and more. The company has already accumulated several high profile clients, including the CERN research facility.

Data-driven, sustainable decision making

The success (and sustainability) of a supply chain is, first and foremost, an issue of visibility. Decision-making to reduce carbon emissions, cut costs, and improve resilience is almost universally a matter of understanding the factors affecting what has traditionally been a very murky, complex, impenetrable system. Using AI to maintain visibility into upstream manufacturing, purchasing, and logistics channels is critical in a world where supply chains are more complex, and the critical eyes of regulators and other organisations within a company’s ecosystem are more prone to scrutiny, than ever before. 

For any organisation looking to operate more sustainably—especially in a climate of net zero commitments and increased regulatory scrutiny—the next generation of AI models, powered by advanced analytics, intelligent algorithms, natural language processing, and real-time processing of huge data sets, represents a way to understand the source to pay process on a more granular level than was previously possible, and a path to making the necessary decisions for a more sustainable supply chain.   

By Harry Menear

Author

Sean Galea-Pace

Published

27 December 2023

Estimated Read time

5Mins

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

Author

Sean Galea-Pace

Published

23 November 2023

Estimated Read time

5Mins

At DPW Amsterdam 2023, Danny Thompson, Chief Product Officer at apexanalytix, tells us about the art of developing trust amid significant innovation in procurement.

Trust.

Apexanalytix needs to build quite a bit of it. As a company which protects $9 trillion in spend and prevents or recovers more than $9 billion in overpayments annually, its client portals actively support over eight and a half million suppliers.

Indeed, apex has revolutionised recovery audit with advanced analytics and the introduction of first strike overpayment and fraud prevention software. Today, apex is a leading global force in supplier management innovation with apexportal and smartvm, now the most widely used supplier onboarding, compliant master data management, and comprehensive third-party risk management solution in global procure to pay. With over 250 clients in the Fortune 1000 and Global 2000, apex is dedicated to providing companies and their suppliers with the ultimate supplier management experience. A big part of that experience is based on building trusted supplier-buyer relationships.

Danny Thompson is the Chief Product Officer at apexanalytix and has been with the organisation since July 2015. Now in his third role with the company in eight years, Thompson reflects on his journey with the organisation with positivity. “I came in as a product manager working on our portal product,” he tells us. “And after a short time, because I was a former customer, at Pfizer and International Paper Company, and was an internal voice of the customer, they ended up having me drive messaging with marketing. Recently, we hired a great new leader of marketing who has taken that over fully so I’m dedicated full time to product again. So it’s been a great experience for me.”

Gen AI surge

One of the hottest topics on the CPO agenda in recent months has been ChatGPT. Wherever you go within the industry, you’ll likely find a conversation being had about the technology’s possibilities, as well as perhaps its limitations or challenges – and Thompson is equally keen to explore.

Danny Thompson speaks with CPOstrategy at DPW Amsterdam 2023

“There is certainly a lot of attention being paid to gen AI in the industry, and within our company as well,” says Thompson. “I think it’s because of the shock value of ChatGPT hitting the world and people are really stunned by its ability to interpret natural language and come back with really good information in response to questions that are being lobbed at it. There’s a lot of excitement around what it could do as well as what other generative AI solutions can do to help solve procurement, supplier risk and supplier information problems. We are making progress, and have introduced some generative AI functions, but Generative AI presents some challenges right off the bat that we are working hard to solve as quickly as we can.”

One of these issues is the hallucination problem that is being questioned within the space. This is where AI tools like ChatGPT lack factual support for some of the information provided. “There’s a statement at the bottom of the page which states you can’t rely on results being factual,” Thompson affirms. “When it comes to supplier information and risk management, that’s a problem.”

Managing risk

And it is such an important sticking point that Thompson stresses when it comes to supplier risk information, it is about being careful that the usage of generative AI, in its current state, is used for guidance rather than fact-finding. “Another challenge is around leakage of sensitive information combined with contamination of sensitive or important information,” reveals Thompson. “We have a database of golden records for 90 million suppliers who are doing business with Fortune 1000 and Global 2000 companies. That is the best information we’ve been able to accumulate about suppliers and their relationships as a supplier to large companies. Some of that data is publicly available and some of it is more sensitive. We want to make sure we’re not loading that sensitive information into a generative AI function that might allow random people to access that information. We’ve got to be careful about that leakage of data.”

The opposite is true, as well.  Thompson reveals that his team asked the generative AI-tailored questions which they assumed would be pulled from their own database. The findings were less than ideal. “The responses had been contaminated with public information which was full of inaccurate data,” he tells us. “We’re figuring out how to draw those boundaries, as well—to protect sensitive data while also preventing contamination.”

Trust first

This showcases the importance of trust once again to an organisation like apex. The companies it serves are moving significant sums of money around and the potential risks are sizeable. For Thompson, there can be no greater responsibility when using AI tools. “The data must be either highly accurate or at least they understand the degree to which it’s not,” he says. “If you don’t understand that level of trust you can have in it, then you shouldn’t be using it yet.”

With an unprecedented amount of technological innovation at procurement’s fingertips, the industry is evolving at a rapid pace. It’s placed at a unique moment with digital transformation being swept up throughout the space. While this brings obvious advantages such as time and cost savings, it also means increased cybersecurity threats. “There are more threats coming in as a result of AI,” says Thompson.

“One of the biggest challenges our clients us our solutions to solve for is fraudsters trying to take over a supplier’s account and intercept their payments by submitting fraudulent account change requests. One of the typical ways companies catch these is very often the request is coming through very poorly formatted emails with bad grammar. But what we’re seeing is the bad guys have started using generative AI to create really convincing bank account change requests so there are increased threats to be aware of. But this increase in the availability of information is also make easier the whole process of knowing your supplier and knowing the risks associated with them. And Generative AI is going to allow you to quickly get help to understand how to mitigate a given risk much faster and easier than it’s ever been before.”

Author

Sean Galea-Pace

Published

3 November 2023

Estimated Read time

6Mins

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

Author

Sean Galea-Pace

Published

18 October 2023

Estimated Read time

4Mins

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.

Author

Dan Brightmore

Published

12 October 2023

Estimated Read time

2Mins

Read in brochure format

Nigel Greatorex, Global Industry Manager at ABB, on how digital technologies can support decarbonisation and net zero goals

Nigel Greatorex is the Global Industry Manager for Carbon Capture and Storage (CCS) at ABB Energy Industries. He explains how digital technologies can play a critical role in the transition to a low carbon world by enabling global emissions reductions. Furthermore, he highlights the role of CCS and how challenges can be overcome through digitalisation.

Meeting our global decarbonisation goals is arguably the most pressing challenge facing humanity. Moreover, solving this requires concerted global action. However, there is no silver bullet to the global warming crisis. The solution requires a mix of investment, legislation and, importantly, innovative digital technologies.

Decarbonisation digital technologies

It’s widely recognised decarbonisation is essential to achieving net zero emissions by 2050. Decarbonisation technology is becoming an increasingly important, rapidly growing market. It is especially relevant for heavy industries – such as chemicals, cement and steel. These account for 70 percent of industrial CO2 emissions; equal to approximately six billion tons annually.

CCS digital technologies are increasingly seen as key to helping industries decarbonise their operations. Reaching our net zero targets requires industry uptake of CCS to grow 120-fold by 2050, according to analysis from McKinsey & Company. Indeed, if successful, it could be responsible for reducing CO2 emissions from the industrial sector by 45 percent.

A Digital Twin solution

ABB and Pace CCS joined forces to deliver a digital twin solution. It reduces the cost of integrating CCS into new and existing industrial operations. Simulating the design stage and test scenarios to deliver proof of concept gives customers peace of mind. Indeed, system designs need to be fit for purpose. Also, it demonstrates the smooth transition into CCS operations. Additionally, the digital twin models the full value chain of a CCS system.

Read the full story here

  • Sustainability Technology

Author

Dale Benton

Published

16 October 2019

Estimated Read time

10Mins

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In early 2019, the Voluntary Health Insurance Scheme (VHIS) was introduced in Hong Kong by the Food and Health Bureau…

In early 2019, the Voluntary Health Insurance Scheme (VHIS) was introduced in Hong Kong by the Food and Health Bureau to regulate indemnity hospital insurance plans offered to individuals, with voluntary participation by insurance companies and consumers. The VHIS was designed as a means of encouraging and supporting customers to purchase private healthcare services and for Koh Yi Mien, Managing Director Health and Employee Benefits at AXA Hong Kong, this scheme represents a broader transformation of healthcare and insurance services. “Currently, the demand on healthcare in Hong Kong in the public sector is incredibly high with very long waiting times and waiting lists,” she explains. “As a result, people just aren’t getting timely access to treatment. The private sector in Hong Kong, which is world-class, has capacity. So, if we can rebalance and shift some of the elective work from public to private, it will free up more people to use the public service in a timely fashion.”

Yi Mien also points to a global drive for greater transparency, accountability, use of data and technology as well as promoting customer choice as key drivers of change in the insurance space. “It’s no longer a case of simply providing reimbursement to people when they need treatment,” she says. “It’s about being the patient’s partner throughout their whole life so that when they need healthcare, whenever and wherever they are, we are there to help and support them in their times of need.” 

The modern-day insurance customer is very different from the customer of the past. We live in times of greater access to information through the advent of social media and the increasing influence of the Internet and this has resulted in insurance customers being more knowledgeable about their conditions and asking more questions of their doctors than ever before. As a result, the balance between the customer and the healthcare provider is becoming more equitable. “Customers and patients, as a result, are becoming more demanding,” says Yi Mien. “Gone are the traditional ideas that doctor knows best. It’s not uncommon for patients to see their doctor with a list of demands, while expecting to be serviced.”

Running parallel to becoming more knowledgeable and demanding is the use of smartphones and how it has created a culture of service in an instant. When customers purchase etiquettes or use banking services, they expect the ability to be able to access and complete these transactions and services via their smartphone devices. Fewer and fewer people are accessing physical bank branches and the healthcare insurance sector, despite being still very traditional, is feeling the effects of this instant demand. “Healthcare is a very traditional sector sure, but asking patients or customers to book weeks in advance and telling them they don’t really have any choice is becoming increasingly unacceptable and so healthcare becomes a commodity,” says Mie Koh. “They, like any other customer, vote with their feet and want 24/7 access to quality healthcare without waiting directly from us as the insurer.”

The informed customer and patient have also transformed the relationship between customer and doctor. It is no longer a bilateral relationship and the entire healthcare ecosystem works to provide services from prevention right through to treatment. The result? Insurers like AXA work with customers before they are sick and encourage them to maintain their health, but they also work with clients during their illness and even afterwards AXA will continue to treat them in their rehabilitation. “During their healthcare journey, customers want some handholding in order to navigate the very complex healthcare system, to make sure they get the right healthcare provider, doctor and hospitals that are best for them in their time of need,” says Yi Mien. “This can only happen if we are using digital so that it becomes more real time.”

AXA has been embracing technology for a number of years to be able to serve and effectively work with its customers. It achieves this by starting with the definition of a product, because the product sets the rules. Yi Mien highlights that the rules would often be how AXA would spell out the terms and conditions, the provisions, but these rules also set the customer expectations. Throughout late 2018 and 2019, AXA has invested in digital to enable its customers to buy online, service online, claim online and check-up online. The company also launched a servicing app called Emma, a ‘digital companion’ that enables even faster service. Yi Mien describes this app as a true “health companion”. She is also keen to highlight that the technology is only part of the story. AXA has built a vast medical network with some of the leading hospitals and doctors and customers simply having to log into their companion app to be able to access this network at the touch of a button. “All they need to show is their digital card, their e-card, and with the QR code, the provider just scans it. All of the data is downloaded and all they need to do is sign, get their treatment, and then when they discharge, just sign that they have received the treatment and off they go,” she says. “The hospital will bill AXA directly so there’s no out of pocket. The data is also transmitted to AXA which means that we have more comprehensive and more reliable data.”

Comprehensive and reliable data is crucial to the technology journey of AXA, but it is also integral to the customer journey. With a customer’s entire electronic medical records stored effectively and securely, as Yi Mien notes, why would they go anywhere else? The data that an insurer handles is often complex in nature, but this data is processed through artificial intelligence, with AI being used to process claims more effectively and interpret the information to allow AXA to create rules and algorithms to better serve its customers. AXA also utilises AI through its companion app Emma. “Emma is our chatbot,” explains Yi Mien. “Emma has been built up based on a multitude of Q&As that our customer services team have recorded and collected over many months and years. As we continue to build, and more people use Emma, then the quality of the responses she has in her arsenal will improve.” In the first two months of operations, Emma recorded an accuracy level of 50%. Yi Mien firmly believes that as more people engage with Emma and as a result, the chatbot will evolve and become more of a real-time navigator that can direct customers across the whole ecosystem.

In the global discussion around AI, the topic of transparency is often a key point of debate. With governments around the world shining a spotlight on exactly what data is collected and how it is used, AXA ensures that it maintains an open and transparent dialogue with its customers. As customers engage with Emma and the companion app, they can at any time request their transcripts. Should they choose to speak with a human adviser, all calls are recorded and again they can access those recordings should they wish. Not only is this an example of AXA complying with global governing laws, it also highlights that the customer is at the very heart of every decision it makes and it maintains this as it continues to implement new technologies. “If you look at banking as an example, we all are so used to accessing our bank accounts at any time, be it through our phones or online,” says Yi Mien. “If we want to speak to someone, we can. If we want to go into a branch, we can. I believe this is the way to go with insurance as well. We make it easy for our customers to contact us. We are doing everything we can to allow that.”

“Healthcare is quite personal, so we are doing what we can to allow customers to speak to people, should they not wish to use our chatbot. These are very personal journeys and digital is still in its early days, so we really have to provide different avenues and channels for our customers to contact us.”

As Yi Mien notes, AXA designs its customer journey by starting at the product and going through all the way to treatment. The company makes every decision with the customer’s perspective in mind. As a doctor by trade, Yi Mien sees that all new products are designed by doctors because they understand how the patients move throughout the whole healthcare ecosystem. When AXA designs new products, it does not operate within a vacuum. It has a customer insight group, where around 1,000 customers operate as a real-time focus group in which AXA can test its products with. “When I think about future products, we will test with this group of people and get feedback to see whether we are aligned with the current customer need. So, it’s not just technology per se, but actually meets a customer’s needs,” she says. “One other area to make sure that we are doing the right thing, because technology also costs money, is to make sure that we are very robust in what we do. AXA is unique in that we sell life insurance, health insurance, employee benefits, and we also have P&C. So, being a multi-line insurer, we have the opportunity of having one approach and cross-selling across the business lines, which is a fantastic opportunity. We can only do that through technology.”

Over the course of her career, Yi Mien has been a champion of the transformative effect of technology in becoming a greater enabler for healthcare and healthcare insurance providers around the world. One area in particular that is close to her heart is the mental health space. In Hong Kong, the waiting time to see a psychologist is close to two years and if patients were to seek private care, it is an expensive solution. “Look at a country like Hong Kong, or Australia, they are so vast that there just aren’t enough practitioners to cover the breadth of the geography. Digital is the solution,” she says. “Digital enables people to seek, support and care at the time that is most convenient for them.”

“In the past two to three years, there has been a proliferation of digital tools. Recent studies have shown that digital tools are as good as, if not better, than in-person therapy because customers prefer to talk to a robot rather than face-to-face because they feel that the robot is not judging them.”

Another example that Yi Mien highlights is in the UK, where a VR program has been developed by programmers that is therapy through gameification. The treatment is consistent every time and because of its mobile platform, it is accessible. “We can provide it where you work,” she says. “That’s just one example as to how we can destigmatise mental health through technology.”

AXA operates within a broad healthcare ecosystem, an ecosystem made up of partners, providers and doctors and Yi Mien stresses that in the future of insurance, it will be impossible for insurers to control the ecosystem. “I don’t foresee a future where that happens,” she says. “Partnerships are incredibly important. Things are moving so fast there’s no way we can catch up alone. We need to have partners, collaborators, who are working together to ensure we are at the top of our game and at the forefront of innovation.”

“Over the course of our lives, so many different things can happen and so people will need better care and support. By having a collection of data that represents our customer’s needs we are able to push or suggest services that better meet those needs. In order for us to do that, we need to have players collaborate in the ecosystem. It’s imperative.”

As AXA continues this digital growth journey, the next few years will be defined by improving the agility of the digital companion in order to improve the interaction with customers. AXA will also be looking at developing a digital marketplace in which customers can go shopping within an AXA owned digital platform. For Yi Mien, though, the future is clear for AXA and in order to be successful, she feels it’s down to one thing. “AXA has a clear digital strategy for sure, where it will transform its digital system and build new IT infrastructure to transform the customer experience,” she says. “But the technology is only one part of the story.”

“Unless we can transform the customer experience to deliver a service they truly value, then technology doesn’t do anything. It’s important to recognise that technology is enabling us to transform healthcare, to make it easier, faster, and cheaper for people to receive care. That means in the long-term, sustainable healthcare and health services, which fits into sustainable insurance.”