AI Demand Forecasting Trimmed Stockouts by 57%
ML forecasting across 180 stores that cut stockouts 57% and reduced excess inventory by $6.3M.
Client: NorthPeak Outdoors
The Challenge
NorthPeak Outdoors juggled 180 stores with spreadsheets and gut-feel ordering, driving a 9% stockout rate on top sellers while excess inventory tied up $11M in working capital.
Our Solution
We built a demand-forecasting platform on AWS combining gradient boosting with seasonal decomposition, ingesting POS data, weather and local events. An auto-replenishment engine generates store-level orders, and a Next.js planner UI lets merchandisers override with full forecast transparency.
The Results
Stockouts on top-500 SKUs fell 57% and excess inventory dropped by $6.3M. Forecast error at SKU-store-week level improved from 31% to 14% MAPE.
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