Data-driven retailing : a non-technical practitioners' guide / Louis-Philippe Kerkhove.
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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
[2022]
|
| Series: | Management for professionals.
|
| Subjects: | |
| Online Access: | Springer eBooks |
MARC
| LEADER | 00000czm a2200000 i 4500 | ||
|---|---|---|---|
| 005 | 20221202121856.0 | ||
| 006 | m o d | ||
| 007 | cr cnu000|uu|| | ||
| 008 | 221009s2022 sz a ob 000 0 eng d | ||
| 011 | |a Z3950 Search: @or @attr 1=7 "9783031129612" @attr 1=7 "9783031129629" | ||
| 011 | |a Z3950 Record: 0 of 4 | ||
| 020 | |a 303112961X |q Internet | ||
| 020 | |a 9783031129612 |q Internet | ||
| 020 | |a 3031129628 |q Internet | ||
| 020 | |a 9783031129629 |q Internet | ||
| 035 | |a (OCoLC)1347020842 | ||
| 035 | |a (EDS)EDS101363600 | ||
| 040 | |a YDX |b eng |e rda |c YDX |d GW5XE |d EBLCP |d OCLCF |d Z5A | ||
| 050 | 4 | |a HF5429.15 | |
| 082 | 0 | 4 | |a 658.87002856312 |
| 099 | |a 658.87002856312 KER | ||
| 100 | 1 | |a Kerkhove, Louis-Philippe, |e author. | |
| 245 | 1 | 0 | |a Data-driven retailing : |b a non-technical practitioners' guide / |c Louis-Philippe Kerkhove. |
| 264 | 1 | |a Cham : |b Springer, |c [2022] | |
| 264 | 4 | |c ©2022 | |
| 300 | |a 1 online resource (xv, 257 pages) : |b illustrations (some colour). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Management for professionals | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 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. | |
| 520 | |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. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed October 17, 2022). | |
| 650 | 0 | |a Retail trade |x Data processing. |9 779808 | |
| 650 | 0 | |a Retail trade |x Management |x Data processing. | |
| 776 | 0 | 8 | |c Original |z 303112961X |z 9783031129612 |w (OCoLC)1334102497 |
| 830 | 0 | |a Management for professionals. |9 1090867 | |
| 856 | 4 | 0 | |u https://ezproxy.aut.ac.nz/login?url=https://link.springer.com/10.1007/978-3-031-12962-9 |z Springer eBooks |x TEMPORARY ERM URL |
| 942 | |c EB |n 0 | ||
| 999 | |c 1778710 |d 1778710 | ||