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
Link To Document :
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