Method and system for predictive bill estimation based on financial data from similar users

Abstract

A system and method for predictive bill estimation includes a process for predictive bill estimation whereby financial data associated with one or more 'contributing consumers' is obtained from one or more sources. The financial data obtained from the one or more contributing consumers is then aggregated, analyzed, and/or categorized, according to one or more criteria/parameters associated with the financial transaction data and/or the contributing consumer. The aggregated and/or categorized financial data is then stored. A user consumer then initiates a request for cost/bill data associated with a given area and/or event. The aggregated and/or categorized financial data obtained from one or more contributing consumers is then searched based on one or more search parameters and results data representing multiple financial transactions and/or purchases associated the specified area and/or event is obtained. The results data obtained is then presented to the user consumer in any one of various data and/or report formats, and the user consumer may be notified/alerted to predicted fluctuations in his or her bills automatically well in advance of the expected fluctuation in order to provide the user consumer the opportunity to budget for the predicted fluctuations.