AI · Retail
34%
Less Wasted Stock
Smart Stock Forecasting
PythonXGBoostAWS
The Problem
A regional retail chain was wasting stock. Buying decisions were made on gut feel and last year's spreadsheet.
What We Did
We built an AI tool that learns from past sales and predicts what will sell. It fits into how the team already orders, so buyers get a clear suggested quantity — not a black box.
The Result
Wasted stock fell by 34% in the first full quarter. The tool was live in just six weeks.
Related Work
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