TY  - GEN
AB  - 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 centers and shopping centers. 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 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. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
AU  - Heinemann, Gerrit,
CN  - HF5429
DO  - 10.1007/978-3-658-38316-9
DO  - doi
ID  - 1453108
KW  - Retail trade
LA  - eng
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-658-38316-9
N2  - 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 centers and shopping centers. 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 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. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
SN  - 9783658383169
SN  - 365838316X
T1  - Intelligent retail :the future of stationary retail /
TI  - Intelligent retail :the future of stationary retail /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-658-38316-9
ER  -