Retail Space Analytics

Name: Retail Space Analytics
Brand: Springer, Berlin
SKU: 9783031270574
Price: 65265 HUF
Availability: InStock

Szerző: Ahmed Ghoniem, Bacel Maddah

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

65 265 Ft

This edited volume presents state-of-the-art research that can leverage large-scale sensory data col...

Információk a könyvről

Szerző

Ahmed Ghoniem, Bacel Maddah

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2023

oldal

196

EAN

9783031270574

Enbook ID

42823932

Kiadó

Springer, Berlin

Súly

453

Méretek

155 x 235

Teljes leírás

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.

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Retail Space Analytics

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