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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Vydané v:	International journal of forecasting Ročník 36; číslo 4; s. 1420 - 1438
Hlavní autori:	Huber, Jakob, Stuckenschmidt, Heiner
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2020
Predmet:	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
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