Predictive Inventory Automation
In the fast-moving logistics sector, timing isn't just everything—it's the only thing. We integrated a custom deep-learning model into a regional distributor's stack, forecasting demand with 94% accuracy. The result? A massive reduction in deadstock and 17% lower storage costs in just six months.
- Stock-outs eliminated across 45 nodes
- automated reordering via neural triggers