Method and system for predictive event budgeting based on financial data from similarly situated consumers

• US 8,352,350 B1
• Filed: 10/25/2011
• Issued: 01/08/2013
• Est. Priority Date: 03/28/2008
• Status: Active Grant

• Current Assignee: Intuit, Inc.
• Original Assignee: Intuit, Inc.
• Inventors: Del Favero, James Robert, Lee, Chris, Ernst, Barron R., Rukonic, Marko
• Primary Examiner(s): Trammell, James
• Assistant Examiner(s): Malhotra, Sanjeev
• Application Number:
  US13/280,817
• Time in Patent Office: 441 Days
• Field of Search: 705/1, 705/7, 705/8, 705/10, 705/28, 705/30, 705/35, 705/36, 705/37, 705/38, 705/59, 701/29, 700/286, 235/375, 713/300, 715/501.1
• US Class Current: 705/36.R
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 40/12 Accounting

Abstract

Financial data associated with one or more “contributing consumers” is obtained. The financial data is then aggregated, analyzed, and/or categorized, according to one or more events and one or more criteria/parameters associated with the financial transaction data and/or the contributing consumer. The aggregated and/or categorized 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.

Claims

1. A computer program product for providing a process for predictive event budgeting comprising:

a non-statutory computer readable medium;

and computer program code, encoded on the non-statutory computer readable medium, comprising computer readable instructions for;

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 and categorized data

in response to a user consumer initiated search for costs data associated with one or more specified events, searching the aggregated and categorized data for aggregated and categorized data that is associated with the user consumer specified one or more events resulting in user consumer events data; and

providing the user consumer with the user consumer events data.

2. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

obtaining contributing consumer financial data from two or more contributing consumers comprises;

obtaining contributing consumer financial data from the two or more contributing consumers from a computing system implemented financial management system.

3. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

monitoring the contributing consumer financial data from the two or more contributing consumers for changes in the contributing consumer financial data from one or more contributing consumers comprises;

monitoring the contributing consumer financial data from the two or more contributing consumers by categories assigned to the financial data from the two or more contributing consumers by a computing system implemented financial management system.

4. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

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 comprises;

monitoring the contributing consumer financial data from the two or more contributing consumers by categories assigned to the contributing consumer financial data from the two or more contributing consumers by two or more contributing consumers.

5. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

monitoring the contributing consumer financial data from the two or more contributing consumers for changes in the financial data from two or more contributing consumers comprises;

monitoring the contributing consumer financial data from the two or more contributing consumers by categories assigned to the contributing consumer financial data from the two or more contributing consumers by the process for predictive event budgeting.

6. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

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 comprises;

monitoring one or more contributing consumer financial transactions of the contributing consumer financial data from the two or more contributing consumers.

7. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

identifying one or more specific events associated with the identified one or more changes in the contributing consumer financial data associated with one or more of the two or more contributing consumers comprises;

one or more contributing consumers identifying the one or more specific events associated with the identified one or more changes in their contributing consumer financial data.

8. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

identifying one or more specific events associated with the identified one or more changes in the contributing consumer financial data associated with one or more of the two or more contributing consumers comprises;

contacting one or more of the one or more contributing consumers and requesting the that the contacted one or more contributing consumers identify the one or more specific events associated with the identified one or more changes in their contributing consumer financial data.

9. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

aggregating and categorizing the changed data based, at least in part, on the one or more specific events associated with the identified one or more changes in the contributing consumer financial data associated with one or more of the two or more contributing consumers comprises;

aggregating and categorizing the changed data based on the one or more specific events associated with the identified one or more changes in the contributing consumer financial data associated with one or more of the two or more contributing consumers and one or more of the following additional contributing consumer parameters chosen from the group of contributing consumer parameters consisting of;

the contributing consumer'"'"'s total assets;

details regarding one or more of the contributing consumer'"'"'s assets;

the contributing consumer'"'"'s total income;

the percentage of the contributing consumer'"'"'s income spent in the category of the financial data;

the contributing consumer'"'"'s net worth;

the contributing consumer'"'"'s average discretionary spending;

the percentage of the contributing consumer'"'"'s discretionary spending spent in the category of the financial data;

the contributing consumer'"'"'s age group;

the contributing consumer'"'"'s marital status;

the contributing consumer'"'"'s number of dependents;

the contributing consumer'"'"'s commute;

the contributing consumer'"'"'s yearly mileage; and

the contributing consumer'"'"'s profession.

10. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

the user consumer initiated search for costs data associated with one or more specified events includes the user consumer providing general financial data associated with the user consumer, the general financial data associated with the user consumer being chosen from the group of general financial data associated with the user consumer consisting of;

the user consumer'"'"'s total assets;

details regarding one or more of the user consumer'"'"'s assets;

the user consumer'"'"'s total income;

the percentage of the user consumer'"'"'s income spent in the category of the financial data;

the user consumer'"'"'s net worth;

the user consumer'"'"'s average discretionary spending;

the percentage of the user consumer'"'"'s discretionary spending spent in a given category of expense;

the user consumer'"'"'s age group;

the user consumer'"'"'s marital status;

the user consumer'"'"'s number of dependents;

the user consumer'"'"'s commute;

the user consumer'"'"'s yearly mileage; and

the user consumer'"'"'s profession.

11. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

the specific one or more events includes a specific event chosen from the group of events consisting of;

a baby or an expected baby;

a move to the given location;

buying a house;

renting a house;

renting an apartment;

purchasing a given service; and

purchasing a given product.

12. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

the user consumer initiated search for costs data associated with one or more specified events includes the user consumer providing user consumer search parameters for searching the aggregated and categorized data representing the one or more changes in the contributing consumer financial data associated with one or more of the two or more contributing consumers, the user consumer search parameters including one or more user consumer search parameters chosen from the group of user consumer search parameters consisting of;

contributing consumers having total assets within a range defined by the user consumer;

contributing consumers having total income within a range defined by the user consumer;

contributing consumers having income spent in the category of the financial data within a range defined by the user consumer;

contributing consumers having a net worth within a range defined by the user consumer;

contributing consumers having average discretionary spending within a range defined by the user consumer;

contributing consumers being in an age group defined by user consumer;

contributing consumers having a user consumer defined marital status;

contributing consumers having a number of dependents within a range defined by the user consumer;

contributing consumers having a commute within a range defined by the user consumer;

contributing consumers having yearly mileage within a range defined by the user consumer; and

contributing consumers being of a user consumer defined profession.

13. The computer program product for providing a process for predictive event budgeting of claim 1, wherein;

providing the user consumer results data comprising at least part of the aggregated and categorized changed data comprises;

providing the user consumer results data comprising at least part of the aggregated and categorized changed data as a listing of all costs associated with the one or more events found as a result of the search of the aggregated and categorized data representing the one or more changes in the financial data associated with one or more of the two or more contributing consumers.

14. A system for predictive event budgeting comprising:

two or more processors; and

two or more memories, individual ones of the memories coupled to respective ones of the one or more processors, the two or more memories having collectively stored therein processor-executable instructions which when executed by the two or more processors, perform a process for predictive event budgeting, the process 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 and categorized data;

in response to a user consumer initiated search for costs data associated with one or more specified events, searching the aggregated and categorized data for aggregated and categorized data that is associated with the user consumer specified one or more events, resulting in user consumer events data; and

providing the user consumer with the user consumer events data.

15. A system for predictive event budgeting comprising:

means for 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;

means for 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;

means for 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;

means for identifying one or more specific events associated with the identified one or more changes in the changed financial data;

means for aggregating and categorizing the changed financial data based, at least in part, on the identified one or more specific events, resulting in aggregated data;

means for storing the aggregated and categorized data;

means for searching, in response to a user consumer initiated search for costs data associated with one or more specified events, the aggregated and categorized data for aggregated and categorized data that is associated with the user consumer specified one or more events, resulting in user consumer events data; and

means for providing the user consumer with the user consumer events.