This project applies time series forecasting (ARIMA) to predict product demand and optimize inventory management. By analyzing historical demand and stock levels, it calculates reorder points, safety stock, and optimal order quantities to minimize costs, prevent stockouts, and improve service efficiency.
☆51Sep 23, 2025Updated 10 months ago
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