Data-driven retailing : a non-technical practitioners' guide / Louis-Philippe Kerkhove.
Kerkhove, Louis-Philippe, author.
2022
HF5429.15
Available Online

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Title
Data-driven retailing : a non-technical practitioners' guide / Louis-Philippe Kerkhove.
Author
Kerkhove, Louis-Philippe, author.
ISBN
9783031129629 (electronic bk.)
3031129628 (electronic bk.)
9783031129612
303112961X
DOI
https://doi.org/10.1007/978-3-031-12962-9
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xv, 257 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-12962-9 doi
Call Number
HF5429.15
Dewey Decimal Classification
658.8/7002856312
Summary
This book provides retail managers with a practical guide to using data. It covers three topics that are key areas of innovation for retailers: Algorithmic Marketing, Logistics, and Pricing. Use cases from these areas are presented and discussed in a conceptual and comprehensive manner. Retail managers will learn how data analysis can be used to optimize pricing, customer loyalty and logistics without complex algorithms. The goal of the book is to help managers ask the right questions during a project, which will put them on the path to making the right decisions. It is thus aimed at practitioners who want to use advanced techniques to optimize their retail organization.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 17, 2022).
Series
Management for professionals.
Available in Other Form
Print version: 9783031129612
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Part I. Pricing
Chapter 1. The Retailers Pricing Challenge
Chapter 2. Understanding Demand and Elasticity
Chapter 3. Improving the List Price
Chapter 4. Optimizing Markdowns and Promotions
Part II. Inventory Management
Chapter 5. Product (Re-)distribution and Replenishment
Chapter 6. Managing Product Returns
Part III. Marketing
Chapter 7. The Case for Algorithmic Marketing
Chapter 8. Better Customer Segmentation
Chapter 9. Anticipate What Customers Will Do
Chapter 10. Anticipate When Customers Will Do Something
Part IV. Conclusion
Chapter 11. Where Retail Is Headed Next.

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