Retail
A Custom Forecasting Model That Cut Overstock by a Third
A custom-trained demand forecasting model built on three years of regional sales data, reducing overstock while holding stockout rates flat.
33%reduction in overstock inventory
0%increase in stockout rate
6 weeksfrom data audit to production model
The Problem
Generic off-the-shelf forecasting tools didn't account for the client's regional seasonality and promotional calendar, leading to chronic overstock in some regions and stockouts in others.
The Solution
We trained a custom forecasting model on three years of regional sales, promotion, and local-event data, with a monitoring pipeline that flags when live accuracy drifts from the model's validated baseline.
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