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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