Quick Hits: Demand Forecasting AI Is Finally Cutting Warehouse Bloat, But Only If You Do This First
Warehouses running demand forecasting AI are cutting excess inventory by 18-24 percent while cutting stockouts in half. The catch: implementation fails 40 percent of the time because operations teams skip one critical step before the algorithm even runs.
Demand forecasting AI is not new. What is new is that it is actually working inside warehouses that treat it like a maintenance problem instead of a hiring problem. The difference between a warehouse that cuts inventory 18 percent and one that cuts it 2 percent is not the software. It is whether operations leadership spent four weeks training the data team before they plugged the algorithm in.
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