This post explains practical approaches to demand forecasting, stock-keeping optimization, and waste reduction using time-series models and simple ML approaches tailored for supermarket operators.
Key approaches
- Collect sales by SKU and time period
- Use exponential smoothing or ARIMA for baseline forecasting
- Use seasonal decomposition to capture weekly patterns
- Apply safety stock rules and reorder points
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