Assisting system for grocery shopping navigation and product recommendation

We present a system prototype aimed at lowering the burden of grocery shopping by recommending products according to those currently in a shopping basket, and supporting users in finding their way from their current position to the location of a determined item within the store. On the backend side, retailers can reflect changes in the location of inventory and shelf distribution in the store. These changes have been found to be especially problematic for aging visitors. Our working prototype, a client-server application, relies on the already demonstrated benefits of smart devices (connectivity, intuitive interaction, sensing capabilities, etc.) and big data analysis tools on the server side. Anecdotal evidence suggest that the proposed system could be useful for challenged users (e.g., elderly patrons, etc.), for whom a simple chore as grocery shopping can be troublesome.

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