Cohen / Gras / Pentecoste

Demand Prediction in Retail

A Practical Guide to Leverage Data and Predictive Analytics

Springer Nature Switzerland

ISBN 978-3-030-85855-1

Standardpreis


85,59 €

sofort lieferbar!

Preisangaben inkl. MwSt. Abhängig von der Lieferadresse kann die MwSt. an der Kasse variieren. Weitere Informationen

Bibliografische Daten

eBook. PDF

2022

XVII, 155 p. 33 illus., 29 illus. in color..

In englischer Sprache

Umfang: 155 S.

Verlag: Springer Nature Switzerland

ISBN: 978-3-030-85855-1

Weiterführende bibliografische Daten

Produktbeschreibung

From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.

This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.

Autorinnen und Autoren

Produktsicherheit

Hersteller

Springer-Verlag GmbH

Tiergartenstr. 17
69121 Heidelberg, DE

ProductSafety@springernature.com

Topseller & Empfehlungen für Sie

Ihre zuletzt angesehenen Produkte

Rezensionen

Dieses Set enthält folgende Produkte:
    Auch in folgendem Set erhältlich:

    • nach oben

      Ihre Daten werden geladen ...