The Forecast That Cut Stockouts 61%
See how a pragmatic demand model — monitored and retrained on a weekly schedule — kept shelves stocked without ballooning inventory.
−61% stockouts
ML & Forecasting
Executive Summary
This Is The Way
Step 1 of 3
The Way It Was
A direct-to-consumer retailer was losing real sales to stockouts on its fastest-moving SKUs, while sitting on dead inventory elsewhere in the catalog. Reordering ran on gut feel and stale spreadsheets, so the two failure modes — running out of what people wanted, and tying up cash in what they didn't — kept happening at the same time, for different products, every season.