Data Mining - Analysis White Papers

Building Intelligent Shopping Assistants Using Individual Consumer Models

Overview This paper describes an Intelligent Shopping Assistant designed for a shopping cart mounted tablet PC that enables individual interactions with customers. Machine learning algorithms are used to predict a shopping list for the customer's current trip and present this list on the device. As they navigate through the store, personalized promotions are presented using consumer models derived from loyalty card data for each individual.

Further White Paper Details
PublisherAccenture File FormatPDF
Date PublishedNovember 2004 Downloads116
FormatWhite Papers   
Topics
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