
Retail Space Analytics (International Series In Operations Research & Management Science, 339)
Springer
ISBN13:
9783031270574
$180.44
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.
- | Author: Ahmed Ghoniem, Bacel Maddah
- | Publisher: Springer
- | Publication Date: Jun 10, 2023
- | Number of Pages: 193 pages
- | Language: English
- | Binding: Hardcover
- | ISBN-10: 3031270576
- | ISBN-13: 9783031270574
- Author:
- Ahmed Ghoniem, Bacel Maddah
- Publisher:
- Springer
- Publication Date:
- Jun 10, 2023
- Number of pages:
- 193 pages
- Language:
- English
- Binding:
- Hardcover
- ISBN-10:
- 3031270576
- ISBN-13:
- 9783031270574