Name: Retail Space Analytics
SKU: 64789273
Price: 5814.00 TWD
Availability: InStock
Author: Ahmed Ghoniem;Bacel Maddah
ISBN: 9783031270604

Type

Physical Book

Publisher

Springer International Publishing AG

Author

Ahmed Ghoniem;Bacel Maddah

Collection

International Series in Operations Research & Management Science

Year

2024

Pages

181

Format

Paperback

Dimensions

23.5x15.5 cm

ISBN13

9783031270604

Retail Space Analytics

Ahmed Ghoniem;Bacel Maddah (Author) · Springer International Publishing AG · Paperback

Cheaper New Book Imported to Taiwan

Delivery: 14 Oct - 27 Oct

NT$ 5,814

Faster New Book Imported to Taiwan

Delivery: 09 Oct - 19 Oct

NT$ 7,094

NT$ 5,814

Add to Wishlist

Synopsis "Retail Space Analytics"

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 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.