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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Bibliographic Details

Published in:	International journal of forecasting Vol. 36; no. 4; pp. 1420 - 1438
Main Authors:	Huber, Jakob, Stuckenschmidt, Heiner
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2020
Subjects:	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 Access:	Get full text
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