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Data-driven retailing: a nontechnical practitioners' guide

By: Kerkhove, Louis-PhilippeMaterial type: TextTextSeries: Management for ProfessionalsPublication details: Switzerland Springer 2022 Description: xv, 257 pISBN: 9783031129612Subject(s): Retail trade--ManagementDDC classification: 658.8 Summary: About this book 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.
List(s) this item appears in: IT & Decision Sciences
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC
General Stacks
Marketing 658.8 KER (Browse shelf(Opens below)) 1 Available 004648
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Marketing Close shelf browser (Hides shelf browser)
658.8 KAS Rural marketing 658.8 KEN Macro-social marketing insights: 658.8 KER Gurus on marketing 658.8 KER Data-driven retailing: 658.8 KOT Marketing management 658.8 KOT Marketing management 658.8 KOT Marketing management

About this book
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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