9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

SmartMart: IoT-based In-store Mapping for Mobile Devices

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2013.254116,
        author={Dylan Hicks and Kevin Mannix and Hannah Bowles and Byron Gao},
        title={SmartMart: IoT-based In-store Mapping for Mobile Devices},
        proceedings={9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={ICST},
        proceedings_a={COLLABORATECOM},
        year={2013},
        month={11},
        keywords={internet of things in-store mapping information retrieval mobile devices},
        doi={10.4108/icst.collaboratecom.2013.254116}
    }
    
  • Dylan Hicks
    Kevin Mannix
    Hannah Bowles
    Byron Gao
    Year: 2013
    SmartMart: IoT-based In-store Mapping for Mobile Devices
    COLLABORATECOM
    IEEE
    DOI: 10.4108/icst.collaboratecom.2013.254116
Dylan Hicks1, Kevin Mannix2, Hannah Bowles3, Byron Gao3,*
  • 1: Columbia University
  • 2: Boston University
  • 3: Texas State University
*Contact email: bgao@txstate.edu

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.