DocumentCode
651718
Title
SmartMart: IoT-based In-store mapping for mobile devices
Author
Hicks, David ; Mannix, Kevin ; Bowles, Hannah M. ; Gao, Byron J.
fYear
2013
fDate
20-23 Oct. 2013
Firstpage
616
Lastpage
621
Abstract
Quite often, when shopping in a supermarket (e.g. Walmart), shoppers are frustrated at locating the items on the shopping list and no assistance is available. On the other hand, retailers also lose a large volume of sales as a result. In this paper, we present a feasibility study that leverages the Internet of Things (IoT) technology to make store items “smart” so that they can automatically register and update their location information in an information retrieval system, allowing shoppers to search, locate, and map them on the store floor plan using mobile devices. A free-accessible Android-based mobile app SmartMart has been developed to demonstrate the promise of this preliminary work. Continuous development of this research could lead to a complete change in our day-to-day shopping experience.
Keywords
Internet of Things; information retrieval; mobile computing; retail data processing; Internet of Things technology; IoT-based in-store mapping; SmartMart; day-to-day shopping experience; free-accessible Android-based mobile app; information retrieval system; location information; mobile devices; store floor plan; supermarket; Androids; Databases; Humanoid robots; Layout; Mobile communication; Servers; XML; Internet of things; in-store mapping; information retrieval; mobile devices;
fLanguage
English
Publisher
ieee
Conference_Titel
Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom), 2013 9th International Conference Conference on
Conference_Location
Austin, TX
Type
conf
Filename
6680033
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