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Retail Space Analytics - International Series in Operations Research & Management Science 2023 edition
Retail Space Analytics - International Series in Operations Research & Management Science
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.
181 pages, 1 Illustrations, black and white; XII, 181 p. 1 illus.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 10, 2023 |
| ISBN13 | 9783031270574 |
| Publishers | Springer International Publishing AG |
| Pages | 181 |
| Dimensions | 150 × 220 × 20 mm · 453 g |
| Language | German |
| Editor | Ghoniem, Ahmed |
| Editor | Maddah, Bacel |