Patent ID: 8650075
Filing Date: 2014-02-11
Classification: G06N,G06Q

Abstract:
1. A computer-implemented method comprising: accessing a customer model that stores transaction data associated with a customer; receiving a request to generate a proposed shopping list of product categories that the customer will likely acquire on a shopping trip; in response to the request, associating, for each of a plurality of product categories by one or more computers, at least a portion of the transaction data associated with the customer with a plurality of classifiers associated with the product category; determining, by the one or more computers, a prediction for each classifier based at least on the transactional data, each prediction representing a probability that the customer will acquire a product from the product category on the shopping trip; evaluating, for each of the plurality of product categories by the one or more computers, the predictions associated with the product category; selecting a particular prediction for each product category based on the evaluation; generating the proposed shopping list of product categories that the customer will likely acquire on the shopping trip based on the selected predictions; and transmitting the proposed shopping list to a user device associated with the customer.