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Data-driven Retailing A Non-technical Practitioners' Guide

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 manag...

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Bibliographic Details
Main Author: Kerkhove, Louis-Philippe
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Management for Professionals
Subjects:
Data Analysis And Big Data
Electronic Commerce
Customer Relationship Management
Quantitative Research
Technological Innovations
Innovation And Technology Management
E-commerce And E-business
Trade And Retail
Customer Relations / Management
Retail Trade
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Part I. Pricing
  • Chapter 1. The Retailer’s 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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