Overview
- Shows brick-and-mortar retailers a way to reinvent themselves after Corona
- Explains why brick-and-mortar retail today needs to be data-based
- With numerous practical examples
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About this book
This book shows stationary retail a way to reinvent itself after Corona, in order to be able to survive against the strong competition of online retail. The focus is on the central issues that will shape the retail of the future. For example, brick-and-mortar retail in particular must now work with intelligent systems based on data and adopt or even surpass methods that the large online marketplaces have been using successfully for a very long time. In this regard, artificial intelligence also plays a major role in retail. This is not just about automation and robots taking over tasks, but also about instruments and machines being able to learn and draw conclusions themselves in all retail functions. This is becoming increasingly difficult because our shop** and search behavior is constantly changing. Therefore, a customer should receive intelligent recommendations in the store, which are also based on his already known interests and behavior patterns.
Gerrit Heinemann shows how intelligent action can save stationary retail in city centres and shop** centres.
The content
- From stationary Retail to intelligent Retail
- Threats to the stationary retail trade
- Basic requirements and manifestations of intelligent Retail
- Examples of intelligent retail of the future
- Risks for intelligent Retail
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Keywords
Table of contents (5 chapters)
Authors and Affiliations
About the author
Prof. Dr. Gerrit Heinemann is Professor of Business Administration, Management and Commerce and Head of the eWeb Research Center at Niederrhein University of Applied Sciences.
Bibliographic Information
Book Title: Intelligent Retail
Book Subtitle: The Future of Stationary Retail
Authors: Gerrit Heinemann
DOI: https://doi.org/10.1007/978-3-658-38316-9
Publisher: Springer Wiesbaden
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 Fachmedien Wiesbaden GmbH, part of Springer Nature 2023
Softcover ISBN: 978-3-658-38315-2Published: 14 October 2022
eBook ISBN: 978-3-658-38316-9Published: 13 October 2022
Edition Number: 1
Number of Pages: XIX, 374
Number of Illustrations: 1 b/w illustrations
Topics: Trade