METHOD FOR PERSONALIZED ALERTS FOR ALTERNATIVE SERVICE OFFERINGS BASED ON PERSONALIZED USAGE PROFILES IN A CHANGING MARKET
Comparing service plans based on a user's usage data may include collecting and analyzing service usage and reward earnings data for a user's current service to obtain a normalized service usage and rewards dataset, normalizing data related to a plurality of alternative service offerings according to a normalized alternative service offering model, applying the model to the normalized service usage and rewards dataset to produce a plurality of alternative service offering normalized datasets, comparing the alternative service offering normalized datasets to the normalized usage dataset according to at least one element of the datasets to determine if an alternative service offering is better than the user's current service, repeating the process periodically to determine on an updated basis which alternative service offering is better than the user's current service, and alerting the user when an alternative service offering that is better than the user's current service is available.
1 . A machine readable medium, the machine readable medium having program instructions stored thereon for comparing service plans based on a user's usage data executable by a processing unit, the program instructions comprising the steps of:
collecting at least one of predicted and past service usage and reward earnings data for a user's current service using a computer implemented facility;
analyzing the service usage and rewards earnings data to obtain a normalized service usage and rewards dataset;
normalizing data related to a plurality of alternative service offerings according to a normalized alternative service offering model;
applying the normalized alternative service offering model to the normalized service usage and rewards dataset to produce a plurality of alternative service offering normalized datasets;
comparing the alternative service offering normalized datasets to the normalized usage dataset according to at least one element of the datasets to determine if an alternative service offering is better than the user's current service;
repeating said collecting, analyzing, normalizing, applying and comparing periodically to determine on an updated basis which alternative service offering is better than the user's current service; and
alerting the user when an alternative service offering that is better than the user's current service is available.