Retail space analytics / Ahmed Ghoniem, Bacel Maddah, editors.
2023
HF5429.15
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Retail space analytics / Ahmed Ghoniem, Bacel Maddah, editors.
ISBN
9783031270581 (electronic bk.)
3031270584 (electronic bk.)
3031270576
9783031270574
3031270584 (electronic bk.)
3031270576
9783031270574
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xii, 181 pages) : illustrations.
Item Number
10.1007/978-3-031-27058-1 doi
Call Number
HF5429.15
Dewey Decimal Classification
381/.10285
658.4/03
658.4/03
Summary
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 sensory technologies, 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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Ghoniem, Ahmed, editor.
Maddah, Bacel, editor.
Maddah, Bacel, editor.
Series
International series in operations research & management science ; 339.
Available in Other Form
RETAIL SPACE ANALYTICS.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
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.
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.