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|a 9783031270581
|9 978-3-031-27058-1
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|a 10.1007/978-3-031-27058-1
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|a 658.403
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|a Retail Space Analytics
|h [electronic resource] /
|c edited by Ahmed Ghoniem, Bacel Maddah.
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|a 1st ed. 2023.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2023.
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| 300 |
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|a XII, 181 p. 1 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a text file
|b PDF
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|a International Series in Operations Research & Management Science,
|x 2214-7934 ;
|v 339
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| 505 |
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|a 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.
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|a 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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|a Operations research.
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|a Sales management.
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|a Consumer behavior.
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| 650 |
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|a Production management.
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|a Business information services.
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|a Operations Research and Decision Theory.
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| 650 |
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|a Sales and Distribution.
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| 650 |
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|a Consumer Behavior.
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| 650 |
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|a Operations Management.
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| 650 |
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|a Operations Management.
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| 650 |
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|a IT in Business.
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| 700 |
1 |
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|a Ghoniem, Ahmed.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Maddah, Bacel.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783031270574
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| 776 |
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|i Printed edition:
|z 9783031270598
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| 776 |
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|i Printed edition:
|z 9783031270604
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| 830 |
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|a International Series in Operations Research & Management Science,
|x 2214-7934 ;
|v 339
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-27058-1
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| 912 |
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|a ZDB-2-BUM
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| 912 |
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|a Business and Management (SpringerNature-41169)
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| 950 |
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|a Business and Management (R0) (SpringerNature-43719)
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