TY  - BOOK
AU  - Kerkhove,Louis-Philippe
TI  - Data-driven Retailing: A Non-technical Practitioners' Guide 
T2  - Management for Professionals,
SN  - 9783031129629
U1  - 381 23
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Retail trade
KW  - Technological innovations
KW  - Quantitative research
KW  - Customer relations-Management
KW  - Electronic commerce
KW  - Trade and Retail
KW  - Innovation and Technology Management
KW  - Data Analysis and Big Data
KW  - Customer Relationship Management
KW  - e-Commerce and e-Business
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-12962-9
ER  -