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008			230609s2023 sz | o |||| 0|eng d
020			_a9783031270581
024	7		_a10.1007/978-3-031-27058-1 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aT57.6 _b2023 EB
245	0	0	_aRetail Space Analytics _cedited by Ahmed Ghoniem, Bacel Maddah
250			_a1st ed 2023
264		1	_aCham _c2023 _bSpringer International Publishing
300	0	0	_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aInternational Series in Operations Research & Management Science _x2214-7934 _v339
505	0		_aEffect 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.
520			_aThis 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.
988			_aSpringer_Business_2023
650		7	_2embne _96736 _aAnálisis de sistemas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-27058-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
998			_db _b06/2024 _ej _zSI