Overview
- 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
Part of the book series: Management for Professionals (MANAGPROF)
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Table of contents (11 chapters)
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Front Matter
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Inventory Management
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Front Matter
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Conclusion
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Front Matter
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Back Matter
Keywords
- 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
- Price strategy
- Product lifecycle
- Inventory management
- Algorythmic marketing
- Demand forecasting model
About this book
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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Data-driven Retailing
Book Subtitle: A Non-technical Practitioners' Guide
Authors: Louis-Philippe Kerkhove
Series Title: Management for Professionals
DOI: https://doi.org/10.1007/978-3-031-12962-9
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-12961-2Published: 06 October 2022
Softcover ISBN: 978-3-031-12964-3Published: 07 October 2023
eBook ISBN: 978-3-031-12962-9Published: 05 October 2022
Series ISSN: 2192-8096
Series E-ISSN: 2192-810X
Edition Number: 1
Number of Pages: XV, 257
Number of Illustrations: 44 b/w illustrations, 9 illustrations in colour
Topics: Trade, Business and Management, general, Statistics, general, Customer Relationship Management, e-Commerce/e-business