书目名称 | Retail Space Analytics | 编辑 | Ahmed Ghoniem,Bacel Maddah | 视频video | | 概述 | The first research-oriented book that examines novel problems in store space analytics.Editors and chapter authors are among the most actively published in the field.Presents state-of-the-art research | 丛书名称 | International Series in Operations Research & Management Science | 图书封面 |  | 描述 | 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 | 出版日期 | Book 2023 | 关键词 | retail analytics; shelf space optimization; retail store layout; in-store traffic; promotional displays; | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-27058-1 | isbn_softcover | 978-3-031-27060-4 | isbn_ebook | 978-3-031-27058-1Series ISSN 0884-8289 Series E-ISSN 2214-7934 | issn_series | 0884-8289 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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