In our previous article, "Minimum Implementation for Rule-of-Thumb Ordering," we introduced how to implement rule-of-thumb methods targeting a MAPE (Mean Absolute Percentage Error) of around 30%.
This project analyzes retail sales data and builds machine learning models to forecast future sales, detect anomalies, and segment products for inventory planning.
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