Data-driven Retailing

A Non-technical Practitioners' Guide

Louis-Philippe Kerkhove (Autor)

Buch | Hardcover

XV, 257 Seiten

2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-12961-2 (ISBN)

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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.

Louis-Philippe Kerkhove is co-founder and CTO at the retail analytics agency Crunch (founded in 2017) in Belgium. He is also academically connected to Ghent University (Belgium).

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.

Erscheinungsdatum	07.10.2022
Reihe/Serie	Management for Professionals
Zusatzinfo	XV, 257 p. 53 illus., 9 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	571 g
Themenwelt	Mathematik / Informatik ► Mathematik
Themenwelt	Wirtschaft ► Betriebswirtschaft / Management
Schlagworte	Algorithmic marketing • Algorythmic marketing • Customer Centricity • Customer Lifetime Value • Customer loyalty • Customer Relationship Management • data analytics • Data Warehousing • Demand forecasting model • Dynamic Pricing • Inventory Management • machine learning • Markdown management • Marketing Automation • Merchandising • Price Strategy • Pricing • product distribution • Product Lifecycle • Retail
ISBN-10	3-031-12961-X / 303112961X
ISBN-13	978-3-031-12961-2 / 9783031129612
Zustand	Neuware