Daily retail demand forecasting using machine learning with emphasis on calendric special days

Demand forecasting is an important task for retailers as it is required for various operational decisions. One key challenge is to forecast demand on special days that are subject to vastly different demand patterns than on regular days. We present the case of a bakery chain with an emphasis on spec...

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Veröffentlicht in:	International journal of forecasting Jg. 36; H. 4; S. 1420 - 1438
Hauptverfasser:	Huber, Jakob, Stuckenschmidt, Heiner
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2020
Schlagworte:	Classification Comparative studies Decision trees Demand forecasting Forecasting practice Neural networks Regression Neural networks Demand forecasting Classification Comparative studies Regression Forecasting practice Decision trees
ISSN:	0169-2070, 1872-8200
Online-Zugang:	Volltext
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