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221107 ||| eng |
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|a 9783031129629
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| 100 |
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|a Kerkhove, Louis-Philippe
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| 245 |
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|a Data-driven Retailing
|h Elektronische Ressource
|b A Non-technical Practitioners' Guide
|c by Louis-Philippe Kerkhove
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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| 300 |
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|a XV, 257 p. 53 illus., 9 illus. in color
|b online resource
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| 505 |
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|a 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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| 653 |
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|a Data Analysis and Big Data
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| 653 |
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|a Electronic commerce
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| 653 |
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|a Customer Relationship Management
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| 653 |
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|a Quantitative research
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| 653 |
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|a Technological innovations
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| 653 |
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|a Innovation and Technology Management
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| 653 |
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|a e-Commerce and e-Business
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| 653 |
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|a Trade and Retail
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| 653 |
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|a Customer relations / Management
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| 653 |
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|a Retail trade
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Management for Professionals
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| 028 |
5 |
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|a 10.1007/978-3-031-12962-9
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-12962-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 381
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| 520 |
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|a 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
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