Patent ID: 8756095

Claim:
A computer-implemented method for predicting purchasing patterns by modeling the interests of consumers in products based on exhibited online shopping activity, comprising the steps of: (a) collecting, using a computing apparatus, source data from a plurality of sources, wherein said source data includes at least: order data, clickstream data, product data and customer data; (b) aggregating, using said computing apparatus, said source data into a multi-dimensional, multi-resolutional, de-normalized interaction table; (c) deriving, using said computing apparatus, a plurality of materialized, n-dimensional customer scores corresponding to said customer data from said multi-dimensional, multi-resolutional, de-normalized interaction table; (d) deriving, using said computing apparatus, a plurality of run-time, n-dimensional customer scores corresponding to said customer data from multi-dimensional, multi-resolutional, de-normalized interaction table; and (e) producing, using said computing apparatus, an e-commerce report, based on said plurality of materialized, n-dimensional customer scores and said plurality of run-time, n-dimensional customer scores, wherein said e-commerce report is used to determine the potential interests of consumers in the products being offered online and said e-commerce report is accessible to a user.