Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics

by Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang

1. Introduction -- 2. Data Pre-Processing and Modeling Factors -- 3. Common Demand Prediction Methods -- 4. Tree-Based Methods -- 5. Clustering Techniques -- 6. Evaluation and Visualization -- 7. More Advanced Methods -- 8. Conclusion and Advanced Topics.

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Year of publication:	2022 ; 1st ed. 2022.
Authors:	Cohen, Maxime C. ; Gras, Paul-Emile ; Pentecoste, Arthur ; Zhang, Renyu
Publisher:	2022.: Cham : Springer International Publishing 2022.: Cham : Imprint: Springer
Subject:	Einzelhandel \| Retail trade \| Prognose \| Forecast \| Nachfrage \| Demand \| Prädiktionsanalyse \| Nachfrageverhalten

Extent:	1 Online-Ressource(XVII, 155 p. 33 illus., 29 illus. in color.)
Series:	Springer Series in Supply Chain Management ; 14 Springer eBook Collection
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-030-85855-1 ; 978-3-030-85854-4 ; 978-3-030-85856-8 ; 978-3-030-85857-5
Other identifiers:	10.1007/978-3-030-85855-1 [DOI]
Classification:	Marketing
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012814703