Data-driven Retailing: A Non-technical Practitioners' Guide
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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Data-driven Retailing: A Non-technical Practitioners' Guide
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.
54.99 In Stock
Data-driven Retailing: A Non-technical Practitioners' Guide

Data-driven Retailing: A Non-technical Practitioners' Guide

by Louis-Philippe Kerkhove
Data-driven Retailing: A Non-technical Practitioners' Guide

Data-driven Retailing: A Non-technical Practitioners' Guide

by Louis-Philippe Kerkhove

Paperback(1st ed. 2022)

$54.99 
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Overview

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.

Product Details

ISBN-13: 9783031129643
Publisher: Springer International Publishing
Publication date: 10/06/2022
Series: Management for Professionals
Edition description: 1st ed. 2022
Pages: 257
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

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).

Table of Contents

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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