Retail space analytics
著者
書誌事項
Retail space analytics
(International series in operations research & management science, v. 339)
Springer, c2023
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
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  福島
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  東京
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  福井
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  長野
  岐阜
  静岡
  愛知
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  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
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  オランダ
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注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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
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