Time Series Forecasting for Inventory Optimization
January 1, 1970
9 min read
Time SeriesForecastingPython
Forecasting that pays for itself
Inventory forecasting is only useful if it changes decisions. The model should be designed around the policy it enables.
Practical approach
- Start with a strong baseline (seasonal naïve)
- Add exogenous signals gradually
- Evaluate by business cost, not RMSE alone