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Intelligent retail: the future of stationary retail

By: Material type: TextTextPublication details: Springer Switzerland 2023Description: xix, 374 pISBN:
  • 9783658383152
Subject(s): DDC classification:
  • 658.87 HEI
Summary: 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.
List(s) this item appears in: Fiction
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC General Stacks Marketing 658.87 HEI (Browse shelf(Opens below)) 1 Available 004693

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.

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