Intelligent Retail
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-38315-2 (ISBN)
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 shopping 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 shopping 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
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.
From stationary Retail to intelligent Retail.- Threats to Stationary Retail.- intelligent Retail.- Examples of intelligent retail of the future.- Risks to Intelligent Retail.
| Erscheinungsdatum | 15.10.2022 |
|---|---|
| Zusatzinfo | XIX, 374 p. 1 illus. |
| Verlagsort | Wiesbaden |
| Sprache | englisch |
| Maße | 168 x 240 mm |
| Gewicht | 669 g |
| Themenwelt | Wirtschaft |
| Schlagworte | AI in Retail • Cross-Channel • Digitization of inner cities • E-Commerce • Machine Learning in Brick-and-Mortar Retail • Multi-Channel • Offline trading • Online Trading • Retail • Shopping and search behavior • Shopping-Center |
| ISBN-10 | 3-658-38315-1 / 3658383151 |
| ISBN-13 | 978-3-658-38315-2 / 9783658383152 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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