Patent ID: 7047251
Filing Date: 2006-05-16
Classification: G06Q,Y10S

Abstract:
1. A computer-implemented method for a closed loop predictive modeling environment, for improving interactions with customers based on insight derived from previous customer interactions, the method comprising the steps of: (A) creating a virtual flat file that serves as a complete input stream for a predictive model so that no additional data is required by the predictive model, (B) building the predictive model for use in predicting future customer behavior; (C) segmenting a set of customers by a first characteristic stored in the database; (D) segmenting the set of customers by a second characteristic stored in the database; (E) generating a two-dimensional matrix for cross-segmenting the set of customers by both the first characteristic and the second characteristic; (F) interacting with the set of customers based on behavior predicted byte predictive model; (G) gathering results of the interactions with the set of customers; (H) updating the predictive model with the gathered results, wherein updating the predictive model refines the predictive model for improved future performance; and (I) repeating the steps of interacting, gathering and updating for enabling a closed loop of interacting with customers based on insight derived from prior interactions with customers.