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How does demand forecasting help retail and e-commerce businesses?
Demand forecasting estimates how much of each product customers will buy, helping retailers set stock levels, plan purchasing and avoid both stock-outs and overstock. Even simple seasonal forecasts can improve ordering decisions and reduce cash tied up in slow stock.
Inputs often include sales history, seasonality, promotions, price changes and lead times from suppliers. More advanced methods add external factors.
Practical points:
- Forecast at a level where data is stable, such as category before individual item
- Treat new products separately
- Review forecast errors regularly
Start with a simple method and measure it before adding complexity. Share forecasts with buyers and operations teams, since their knowledge of supplier delays and promotions often improves the numbers.
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