Case study · Machine Learning · 2025
Meridian — Retail demand forecasting
A gradient-boosted demand forecasting model deployed across 240 stores. 14% lift in forecast accuracy vs. incumbent, retraining pipeline fully automated on new sales data.
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Client
Meridian Retail
Year
2025
Stack
PythonXGBoostFastAPIBigQueryAirflow
A gradient-boosted demand forecasting model deployed across 240 stores. 14% lift in forecast accuracy vs. incumbent, retraining pipeline fully automated on new sales data.
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