AI-Based Shared Inventory for Manufacturers Worldwide
Stabilize Supply Chains - Improve working capital - Prevent waste
Accelerating the shift to a
circular economy with inter-industry collaboration
With Resourcly we are on a mission to build the global #1 Shared Inventory for circular supply chains.
One manufacturers idle inventory is another one's resource.
Get rid of what you don't need.
Resell and share idle inventory within your own company and trusted partners to reduce stock, improve working capital and increase cash flow.
Find what you need.
Find compliant, low emission inventory from trusted partners within our Shared Inventory e.g. industrial components and automation equipment.
Minimize down times.
Access unprecedented supply lines from trusted partners via our Shared Inventory to increase availability and minimize down times.
Measure Impact.
Measure your impact in terms of waste saved, resources reused and emissions saved.
Save Time
Save time: Our platform identifies, cleansed and enriches inventory data with technical specifications for your perfect match to share and reuse idle inventory based on AI.
We create the best route to resilient, networked, circular supply chains
Resilient Supply Chains
Resource scarcity, geopolitical tensions and escalating industrial waste challenge the resilience of supply chains. As obsolete and excess inventories grow, so does the need for robust, circular solutions.
Leveraging new Technologies
Recent breakthroughs in generative AI enable us to efficiently screen large product inventories and recommend sharing and reuse options.
Our Team's Expertise
Our skilled team merges extensive experience in manufacturing with technological proficiency.
In close alignment with our customers' needs, we want to drive their shift towards a circular economy, ensuring profitability, sustainability and resilience in their operations.
Our driving force: Help our customers
make profit, not waste
“Resourcly ist unsere Vision eines zukunftsfähigen, KI-gestützten Gemeinschaftsinventars. Es wird den Einkauf im Maschinen- und Anlagenbau durch intelligente, datengestützte Entscheidungsprozesse revolutionieren. "
Matthias Schlotter, Leiter Einkauf Schwäbische
Werkzeugmaschinen GmbH & Co KG
