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Retail Space Analytics: 339 (International Series in Operations Research & Management Science, 339) - Hardcover

 
9783031270574: Retail Space Analytics: 339 (International Series in Operations Research & Management Science, 339)
Hardcover
ISBN 10: 3031270576 ISBN 13: 9783031270574
Publisher: Springer, 2023

Synopsis

This edited volume presents state-of-the-art research that can leverage large-scale sensory data collected in grocery/retail stores where a single customer visit may generate nearly 10,000 data points. For decades, retail shelf space optimization has been confined to the analysis of product allocation decisions over a limited number of shelves, often taken in isolation. Such models incorporated interesting concepts relating to space and cross-space elasticity in the design of planograms. Although useful, these models have not addressed the bigger picture of planning store shelf space in a more holistic manner.  It is important to note that the space planning analytics in the book are particularly important in an era where e-commerce is on the rise and brick-and-mortar retailing is declining and experiencing severe crises (the retail apocalypse).

This is the first research-oriented book that examines novel problems in store space analytics, triggered by modern-day sensorytechnologies, customer trackers, and transactional tools (point-of-sales, etc.). In fact, such transformative technologies have prompted the development of new and exciting business practices, accompanied by the need for powerful data-driven models and analyses in retail shelf space and layout planning. The book will facilitate developing algorithms and decision tools that allow a better leverage of the data collected from these mediums.

"synopsis" may belong to another edition of this title.

About the Author

Ahmed Ghoniem is an Associate Professor of Operations and Information Management at the Isenberg School of Management, University of Massachusetts, Amherst, USA. His research interests include Retail Analytics, Supply Chain Management, Manufacturing & Service Operations Management, and Routing & Scheduling.


Bacel Maddah is Professor and Chair, Department of Industrial Engineering and Management, Faculty of Engineering and Architecture, American University of Beirut, Lebanon. His research interests include Retail Operations Management, Supply Chain Management and Stochastic Processes.

From the Back Cover

This edited volume presents state-of-the-art research that can leverage large-scale sensory data collected in grocery/retail stores where a single customer visit may generate nearly 10,000 data points. For decades, retail shelf space optimization has been confined to the analysis of product allocation decisions over a limited number of shelves, often taken in isolation. Such models incorporated interesting concepts relating to space and cross-space elasticity in the design of planograms. Although useful, these models have not addressed the bigger picture of planning store shelf space in a more holistic manner.  It is important to note that the space planning analytics in the book are particularly important in an era where e-commerce is on the rise and brick-and-mortar retailing is declining and experiencing severe crises (the retail apocalypse).

This is the first research-oriented book that examines novel problems in store space analytics, triggered by modern-day sensorytechnologies, customer trackers, and transactional tools (point-of-sales, etc.). In fact, such transformative technologies have prompted the development of new and exciting business practices, accompanied by the need for powerful data-driven models and analyses in retail shelf space and layout planning. The book will facilitate developing algorithms and decision tools that allow a better leverage of the data collected from these mediums.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2023
Language
English
ISBN 10 
3031270576
ISBN 13 
9783031270574
Binding
Hardcover
Number of pages
193
Editor
Ghoniem Ahmed, Maddah Bacel