AI-Driven Inventory Optimization for Discrete Manufacturing

Summary

Used machine learning and stochastic optimization to dynamically set part-level inventory targets for complex industrial production. Integrated production, supplier, and bill of materials data to forecast demand and manage uncertainty. Reduced excess stock and holding costs while maintaining service levels. Scaled across factories and product lines to unlock enterprise-wide working capital efficiency.

Use Cases by Industry

Use Cases by Function