M5-inspired retail demand forecasting in Python. A custom evaluation harness compares LightGBM, AutoARIMA and seasonal naive, selects the winner, and drives inventory recommendations and drift monitoring. Built in under 7 days.
python time-series supply-chain forecasting lightgbm inventory-management arima demand-forecasting model-evaluation backtesting probabilistic-forecasting m5-forecasting retail-forecasting loopgate
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Updated
Sep 11, 2026 - Python