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Retail Space Analytics de Ahmed Ghoniem

Retail Space Analytics: International Series in Operations Research & Management Science, cartea 339

Editat de Ahmed Ghoniem, Bacel Maddah
en Limba Engleză Hardback – 10 iun 2023
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.
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Specificații

ISBN-13: 9783031270574
ISBN-10: 3031270576
Pagini: 181
Ilustrații: XII, 181 p. 1 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:2023
Editura: Springer International Publishing
Colecția Springer
Seria International Series in Operations Research & Management Science

Locul publicării:Cham, Switzerland

Cuprins

Effect of Customer Travel Behavior on Grid Layout and Shelf.- A Solver-Free Heuristic for Store-wide Shelf Space Allocation.- In-Store Tra c Density Estimation.- A Simulation Based Tool to Guide Periodic Changes in a Supermarket Layout.- Data-Driven Analytical Grocery Store Design.- Optimizing Stock-Keeping Unit Selection for Promotional Display Space at Grocery Retailers.- Merchandise Placement Optimization.- Problems and Opportunities of Applied Optimization Models in Retail Space Planning

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

The first research-oriented book that examines novel problems in store space analytics Editors and chapter authors are among the most actively published in the field Presents state-of-the-art research in retail space analysis