Demand forecasting toolkit for small retailers: clean POS exports, build lag and calendar features (with a Bangladesh holiday and Eid run-up calendar), compare baseline and gradient-boosting models with rolling-origin backtests, and turn the forecast into safety stock, reorder points and order quant

fastapi forecasting inventory-management pandas python retail scikit-learn time-series typer
1 Open Issue Need Help Last updated: Oct 25, 2026

Open Issues Need Help

View All on GitHub

Demand forecasting toolkit for small retailers: clean POS exports, build lag and calendar features (with a Bangladesh holiday and Eid run-up calendar), compare baseline and gradient-boosting models with rolling-origin backtests, and turn the forecast into safety stock, reorder points and order quant

Python
#fastapi#forecasting#inventory-management#pandas#python#retail#scikit-learn#time-series#typer