Method and system for predictive event budgeting based on financial data from similarly situated consumers
First Claim
1. A system for predictive event budgeting comprising:
- a processor; and
a memory coupled to the processor, the memory having processor-executable instructions stored therein which when executed by the processor perform a process for predictive event budgeting comprising;
obtaining contributing consumer financial data from two or more contributing consumers, the contributing consumer financial data including a plurality of transactions from each of the two or more contributing consumers, each transaction within the plurality of transactions from each contributing consumer having been previously individually designated on a transaction by transaction basis by the respective contributing consumer as being sharable with a user consumer;
monitoring the contributing consumer financial data from the two or more contributing consumers for changes in the contributing consumer financial data from two or more contributing consumers;
identifying one or more changes in the contributing consumer financial data associated with one or more of the two or more contributing consumers, resulting in changed financial data;
identifying one or more specific events associated with the identified one or more changes in the changed financial data;
aggregating and categorizing the changed financial data based, at least in part, on the identified one or more specific events, resulting in aggregated data;
storing the aggregated data;
in response to a user consumer initiated search for costs data associated with one or more specified events includes—
searching the aggregated and categorized data for aggregated data that is associated with the user consumer specified one or more events, resulting in user consumer events data; and
the user consumer providing identification data for a given location and data identifying a specific event associated with the given location;
andproviding the user consumer with the user consumer events data, which includes a listing of all costs associated with the one or more events found as a result of the search of the aggregated data.
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Accused Products
Abstract
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 events causing the changes and one or more criteria/parameters associated with the financial transaction data and/or the contributing consumer. The aggregated and/or categorized data representing the event related changes in the financial data is then stored. A “user consumer” then initiates a request for predictive event cost data associated with one or more specified events and the aggregated and/or categorized data representing the event related changes in the financial data is searched based. Results data representing the changes in the financial data for one or more similarly situated contributing consumers associated the specified event is then obtained and presented to the user consumer.
65 Citations
12 Claims
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1. A system for predictive event budgeting comprising:
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a processor; and a memory coupled to the processor, the memory having processor-executable instructions stored therein which when executed by the processor perform a process for predictive event budgeting comprising; obtaining contributing consumer financial data from two or more contributing consumers, the contributing consumer financial data including a plurality of transactions from each of the two or more contributing consumers, each transaction within the plurality of transactions from each contributing consumer having been previously individually designated on a transaction by transaction basis by the respective contributing consumer as being sharable with a user consumer; monitoring the contributing consumer financial data from the two or more contributing consumers for changes in the contributing consumer financial data from two or more contributing consumers; identifying one or more changes in the contributing consumer financial data associated with one or more of the two or more contributing consumers, resulting in changed financial data; identifying one or more specific events associated with the identified one or more changes in the changed financial data; aggregating and categorizing the changed financial data based, at least in part, on the identified one or more specific events, resulting in aggregated data; storing the aggregated data; in response to a user consumer initiated search for costs data associated with one or more specified events includes— searching the aggregated and categorized data for aggregated data that is associated with the user consumer specified one or more events, resulting in user consumer events data; and the user consumer providing identification data for a given location and data identifying a specific event associated with the given location; and providing the user consumer with the user consumer events data, which includes a listing of all costs associated with the one or more events found as a result of the search of the aggregated data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification