Consumer spending forecast system and method
AssigneeMastercard International Incorporated
InventorPo Hu
Life of this patent
Estimating the term…
Abstract
A system and method of forecasting consumer spending including accumulating a database of spending data, the database including data from a plurality of merchants and transaction devices, conducting a time series analysis of the spending data using, communicating the results of the time series analysis to a spending forecaster, the forecaster applying an algorithm to the time series results to predict future spending, and generating an output of the future spending prediction.
Claims21
A method of forecasting consumer spending comprising:
- accumulating a database of spending data, the database including data from a plurality of merchants and transaction devices conducting a time series analysis of the spending data using a processor;
- communicating the results of the time series analysis to a spending forecaster;
- the forecaster applying an algorithm to the time series results to predict future spending using a processor;
- and
- generating an output of the future spending prediction.
A system for forecasting consumer spending comprising:
- a database of spending data, the database including data from a plurality of merchants and transaction devices;
- a time series generator in communication with the database, the time series generator including a processor and conducting a time series analysis of the spending data;
- and
- a spending forecaster in operative communication with the time series generator, the forecaster applying an algorithm to the time series results to predict future spending, and the forecaster generating an output of the future spending prediction.
A computer-readable distribution medium encoding a computer program of instructions for executing a computer process, the process comprising:
- accumulating a database of spending data, the database including data from a plurality of merchants and transaction devices
- conducting a time series analysis of the spending data using;
- communicating the results of the time series analysis to a spending forecaster;
- the forecaster applying an algorithm to the time series results to predict future spending;
- and
- generating an output of the future spending prediction.
Dependencies are inferred from the claim text.