Latest / The Buyer's Side with Fexingo: Procurement, Sourcing, and B2B Purchasing Decisions
How One Buyer Used AI Demand Forecasting to Cut Safety Stock 40 Percent
In this episode of The Buyer's Side, Lucas and Luna explore how a mid-sized electronics buyer used machine learning demand forecasting to reduce safety stock by 40 percent, freeing up $8 million in working capital. They walk through the specific model—a gradient-boosted tree trained on three years of point-of-sale data—and the procurement manager's step-by-step implementation, from IT integration to supplier negotiation. The episode also covers pitfalls like overfitting and demand signal latency, and why the buyer chose not to fully automate replenishment. A concrete look at how AI…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.