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Wir sind gerne für Sie daThis 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.
Produkteigenschaften
- Artikelnummer: 9783031270604
- Medium: Buch
- ISBN: 978-3-031-27060-4
- Verlag: Springer International Publishing
- Erscheinungstermin: 11.06.2024
- Sprache(n): Englisch
- Auflage: 2023
- Serie: International Series in Operations Research & Management Science
- Produktform: Kartoniert
- Gewicht: 306 g
- Seiten: 181
- Format (B x H x T): 155 x 235 x 11 mm
- Ausgabetyp: Kein, Unbekannt