Data-driven Retailing
A Non-technical Practitioners' Guide
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Beschreibung
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.
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.
Offers tools to manage data-centric projects and ask the right questions Provides user-friendly practical knowledge on data management Covers theory and practice of data analysis and management
Autor*in
Louis-Philippe Kerkhove
Themen in »Data-driven Retailing«
Retail Data analytics Machine learning Customer relationship management Data warehousing Pricing Marketing automation Algorithmic marketing Markdown management Merchandising Dynamic pricing Customer lifetime value Customer centricity Customer loyalty Product distribution