The firm’s platform, Deep Enterprise (DEEP), identifies patterns in customer behavior that conventional forecasting tools typically miss. By backtesting these insights against historical demand, Keystone.AI aims to demonstrate potential savings before companies commit to a full-scale deployment. CEO Greg Richards notes that despite heavy investment in planning software, many manufacturers remain reliant on excessive inventory buffers because they lack trust in their current forecasting accuracy.
Keystone.AI Launches 12-Week Proof of Concept for Supply Chain AI
Inventory levels in the U.S. have outpaced sales growth by 40% over the last decade, leaving manufacturers trapped between mounting costs and unpredictable demand. Bellevue-based Keystone.AI is now offering a 12-week diagnostic engagement designed to extract actionable predictive signals from existing ERP data to unlock tied-up working capital.
In previous deployments, the platform reportedly helped global manufacturers recover between $47 million and $240 million in working capital. The system is designed to integrate directly into a client’s existing cloud environment, avoiding the need for disruptive infrastructure overhauls. President Brad Miller emphasizes that this "Proof Before Production" model shifts the risk away from the buyer, allowing results to be verified using the manufacturer's own data. The program is currently open to select companies within the consumer packaged goods, B2B, industrial, and medtech sectors.
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