Billions Worth of Inventory go to Waste
Billions in capital are tied up for manufacturers worldwide due to complex products portfolios and fragmented data across siloed ERP and PLM systems - leading to idle inventory and waste.
2.5 Trillion $
Industrial inventory tied up in Capital
200 Billion $
of components being scrapped
75%
of manufacturers face supply chain disruptions because of a lack of parts, leading to 20% lost revenue opportunities
AI-based Shared Inventory
for Industrial Manufacturers
Resourcly turns idle inventory into profit and fragmented inventory data into actionable insights. The AI-based Shared Inventory helps manufacturers free up capital by up to 15%, improve resource efficiency and reduce waste.
Our solution - For Engineering
Standardization of inventory data
Building standardized & comparable product Insights across suppliers, accessible within Shared Inventory
Automated Duplicate & Similarity Analysis for complexity and variant reduction
AI assistants to streamline complex product portfolios and prevent redundancies in inventories
Our solution - For Purchasing & Supply Chain
Agentic Supply & Demand Matchmaking
AI assistants to match supply and demand - across plants and companies
Recommendations to reduce unnecessary purchases & prevent scrap
Access inventory data (e.g. product specs, compliance and QA relevant) via natural language
Our solution - For Sales & Service
Unified Access to Inventory & Specs
Find fragmented supplier data for purchased and spare parts and relevant inventory information e.g. obsolescence, compliance and quality information
Agents prepare information for quick human decision to recommend alternatives and substitute materials to improve availability
AI assistants to compare product data (specs, compliance, quality & reuse relevant) across suppliers
Impressions of the community at our Circular Manufacturing Lunch
Matthias Schlotter
Head of Purchasing Schwäbische Werkzeugmaschinen GmbH & Co KG
"Resourcly is our vision of a future-proof, AI-powered shared inventory. It will revolutionize procurement in machinery and plant engineering through intelligent, data-driven decision-making processes."
