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Comparison of statistical and machine learning methods for daily SKU demand forecasting.

Evangelos SpiliotisSpyros MakridakisArtemios-Anargyros SemenoglouVassilios Assimakopoulos
Published in: Oper. Res. (2022)
Keyphrases
  • demand forecasting
  • historical data
  • databases
  • long term
  • supply chain
  • feature space
  • training set
  • forecasting accuracy
  • exponential smoothing