Data-driven Retailing : A Non-technical Practitioners' Guide / by Louis-Philippe Kerkhove
(Management for Professionals. ISSN:2192810X)
| Publisher | (Cham : Springer International Publishing : Imprint: Springer) |
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| Year | 2022 |
| Edition | 1st ed. 2022. |
| Authors | *Kerkhove, Louis-Philippe author SpringerLink (Online service) |
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| Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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| Links to the text | Library Off-campus access |
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OB00189188 | Springer Business and Management eBooks (電子ブック) | 9783031129629 |
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| Material Type | E-Book |
|---|---|
| Media type | 機械可読データファイル |
| Size | XV, 257 p. 53 illus., 9 illus. in color : online resource |
| Notes | 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 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 HTTP:URL=https://doi.org/10.1007/978-3-031-12962-9 |
| Subjects | LCSH:Retail trade LCSH:Technological innovations LCSH:Quantitative research LCSH:Customer relations—Management LCSH:Electronic commerce FREE:Trade and Retail FREE:Innovation and Technology Management FREE:Data Analysis and Big Data FREE:Customer Relationship Management FREE:e-Commerce and e-Business |
| Classification | LCC:HF4999.2-6182 DC23:381 |
| ID | 8000088357 |
| ISBN | 9783031129629 |
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