Resourcly is on a mission to give manufacturers a single source of truth for parts data, using AI to enrich missing data, reduce complexity, optimise spend and improve availability.
Resourcly uses AI-powered data harmonisation and similarity matching to clean up parts master data, eliminate duplicates and turn long-tail spend into measurable value for manufacturers and their partners.
A closer look at Resourcly
Helena Most co-founded Resourcly just over two years ago, and the company has been on an accelerated growth trajectory ever since. Resourcly pioneers deep inventory – uniting human expertise and AI to turn complexity into availability, profitability and smarter resource use for a more sustainable manufacturing future. Its AI-powered shared inventory platform harmonises and enriches inventory data across sites, systems and partners while reducing complexity by eliminating redundancies and identifying reuse opportunities. Resourcly improves working capital and cash flow by turning excess and idle stock into value, strengthens supply chain resilience while dramatically reducing waste and costs.
And Resourcly is currently in the midst of a very exciting time. Recently, Resourcly raised €2.7 million led by Project A to turn hidden inventory and turn long-tail spend into profit. The seed round, led by Project A with support from FIEGE Ventures and XPRESS Ventures and industry leaders Knut Alicke, Philip Harting (CEO, Harting), and Gregor Stühler (CEO, Scoutbee), fuels Resourcly’s European expansion and team growth across all functions after achieving 5x growth in under 12 months. “These are very exciting times as a young, thriving start up,” reveals Most. “For years, I’ve seen manufacturers sitting on billions in idle parts – not because they’re broken, but because they’re buried in fragmented systems. At Resourcly, we’re changing that.
“Our AI-powered platform bridges engineering and purchasing, harmonising complex parts data from data sheets or drawings to uncover duplicates, identify similar or interchangeable components, and recommend qualified alternatives. Our AI-based similarity analysis uncovers patterns that humans and traditional systems can no longer detect. The result is fewer variants, faster sourcing, improved working capital for CFOs, and more resilient supply chains – all without replacing existing systems.”
Key collaboration
Resourcly partners with industry leaders like Sandvik, Kärcher, Schwäbische Werkzeugmaschinen, and Optima – each a market leader in their respective fields. Together, they’re transforming inventory from cost centre to profit driver, delivering measurable financial impact such as working capital optimisation and cost savings and genuine sustainability outcomes.
AI sits at the heart of Resourcly’s capabilities. Speaking at DPW Amsterdam, where digital innovation took centre stage, Most emphasised AI’s transformative role in Resourcly’s operations. She explained how large language models and agentic AI unlock previously inaccessible data insights.
“AI has been critical to our work over the past few years,” Most explains. “We serve some of the world’s largest manufacturers who still process free-text orders. Now we can analyze and identify specific parts, products, or services from unstructured data. We perform similarity analysis on purchased parts using technical sheets and drawings, then run price regression tests – capabilities that were impossible before these technological advances.
“It’s a scalability effect and what we use it for is not just free-text orders, but finding data for lack of master data. Master data harmonisation means that we help manufacturers get information like weights, tariff codes, country of origin information, obsolescence information which was completely manual before, we find technical specifications where we are able to read from technical drawings automatically, and that means we can use all that information for different parts and items and make similarity analysis from that. And then we can compare prices and sustainability measures. It is about essentially giving all the products and parts that I either want to buy or have already in my inventory a data and intelligence layer on top of it and making all this data accessible through a unified interface you can query naturally.”
Agentic AI boom
Most sees agentic AI revolutionising procurement by eliminating traditional workflows and finally giving the function its strategic leverage.
“Manufacturing companies lock in 80% of their costs at the design stage,” she explains. “By the time a bill of materials reaches sourcing, the decisions are already made – procurement can only react, not influence. But when we equip design engineers with intelligent, automated tools, we shift this dynamic entirely.
“This upstream integration reduces costs, eliminates duplicate parts, and streamlines master data management from the start. Agentic AI transforms procurement from a reactive function into a strategic enabler that shapes decisions when they matter most-before they’re set in stone.”
Resourcly builds a data layer on top of existing systems, harmonising inventory data without replacing other systems. Its solution identifies duplicates, compares and flags interchangeable parts, and builds unified data. Beyond cleanup, it creates liquidity by enabling part resale and sharing through trusted networks, turning excess stock into working capital. This way, Resourcly can demonstrate a proven AI use case that improves working capital by up to 15%, reduces cost, boosts part availability for our customers and contributes to greater sustainability in manufacturing.
Apart from digitalisation, another critical CPO priority is driving sustainability through smarter procurement practices – starting with what’s already available. Resourcly’s approach is simple but powerful: buy what’s there first, use similar components, reduce duplicates, and eliminate waste.
Most, passionate about sustainability, explains how Resourcly’s product and material intelligence prevents unnecessary purchases by consolidating comprehensive data for every part and product. “We go far beyond technical specifications,” she reveals. “By integrating compliance, warranty, quality, and sustainability data, we enable teams to identify existing inventory alternatives before ordering new materials. They can analyse critical substances, compare carbon footprints, assess recyclability rates – and most importantly, discover that the part they need might already be sitting in their warehouse or available in a similar component.
Traditional siloed systems with incomplete master data blind companies to these opportunities. Without visibility into existing inventory and component similarities, procurement teams unknowingly purchase additional materials while idle inventory accumulates. Resourcly breaks this cycle by revealing opportunities for common parts usage, alternative sourcing, and inventory pooling – turning potential waste into available resources.
Procurement transformation
Procurement stands at a pivotal crossroads. While digitalisation and automation have advanced, they alone aren’t sufficient. With procurement leaders drowning in digital tools, Most argues it’s time to fundamentally rethink daily operations.
“The question isn’t which tool to add, but where we can eliminate complexity entirely,” she explains. “I work with companies juggling 50 different ERPs – it’s chaos. But here’s what everyone misses: the problem isn’t supply chain visibility. It’s data transparency.
“Most companies fail at the foundation – data quality. You can’t build powerful tools on broken data. That’s why we focus on delivering clean, reliable data first. We establish direct data flows from suppliers to customers, eliminating the endless chase for information.
“When you consolidate all data in one place, ensure its quality, then layer intelligence on top – that’s when everything changes.”
Check out the article in the DPW Amsterdam Takeover Edition here.
Find out more about Resourcly here.