METHOD AND SYSTEM FOR LOCATION-BASED PRODUCT RECOMMENDATION

A location-based product recommendation system uses consumer profile data, a network of beacons that emit unique identifiers, and a recommender to determine current product-correlated location information for a space in which a consumer's mobile device is physically present. The system may use the current product-correlated location information and the consumer's profile data to generate a recommendation for a candidate product for the consumer to consider. The system also may incorporate data from other interactions with products such as purchases, clicks on a website, etc. The system also may incorporate data generated on multiple channels (e.g., a product click on a personal computer at work, a mobile device location in a physical store, a product purchase on a personal computer in the home) into a single profile for the consumer.