Patent ID: 8001044
Filing Date: 2011-08-16
Classification: G06Q

Abstract:
1. A computer system, comprising: a digital processor, memory, a device for inputting information from a user, and an output for outputting information; wherein said computer system stores in said memory, data defining: (1) values representing statistical correlations; (2) a first plurality of consumer records, each including transaction data indicating identification of product purchased and date of purchase; (3) a predictive model function; and (4) a second consumer record for a second consumer including transaction data and a first correlated class predictive data field; wherein said computer system is programmed to determine said values representing statistical correlations from said first plurality of consumer records by, first, determining values representing correlations of data within each one of said first plurality of consumer records between (a) and (b), wherein: (a) are transactions in at least one transaction class for transactions that occurred during at least one first time period and (b) are transactions in at least one transaction class that occurred during at least one second time period, said at least one second time period being subsequent in time to said at least one first time period, and then, second, determining said values representing statistical correlations from said values representing correlations; wherein said predictive model function is defined at least in part by said values representing statistical correlations; wherein said computer system is programmed to apply said predictive model function to transaction data of said second consumer record for transactions that occurred during a third time period, to result in first correlated class predictive data; wherein said computer system is programmed to store said first correlated class predictive data in said first correlated class predictive data field of said second consumer record.