Credit report timeline user interface

• US 9,710,852 B1
• Filed: 04/22/2014
• Issued: 07/18/2017
• Est. Priority Date: 05/30/2002
• Status: Active Grant

• Current Assignee: Consumerinfo.com Incorporated (Experian plc)
• Original Assignee: Consumerinfo.com Incorporated (Experian plc)
• Inventors: Olson, Gregory Thomas, Sivaji, Vijay Prakash, Yu, Nelson, Monteath, Ralph Keith
• Primary Examiner(s): Kalinowski, Alexander
• Assistant Examiner(s): Kloberg, Paul R
• Application Number:
  US14/258,789
• Time in Patent Office: 1,183 Days
• Field of Search: 705 38
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

Abstract

A credit report user interface is provided that may comprise a credit event timeline to view events associated with various accounts associated with a consumer. Credit events may be determined by accessing and analyzing a consumer'"'"'s credit report from one or more of the national credit bureaus. In some embodiments the consumer can see credit events associated with all of the consumer'"'"'s accounts or only from a limited number of the consumer'"'"'s accounts. The consumer may also be able to search credit events, sort credit events, view the impact of credit events on one or more of the consumer'"'"'s credit scores, and view predicted future credit events.

Claims

1. A computing system for reconciling and presenting a credit event from a plurality of credit bureaus, the computing system comprising:

one or more hardware computer processors; and

one or more storage devices configured to store software instructions configured for execution by the one or more hardware computer processors, wherein the software instructions comprise;

a credit data gathering module configured to;

access first credit data associated with a consumer from a first credit bureau, wherein the first credit data comprise a first set of credit events;

access second credit data associated with the consumer from a second credit bureau, wherein the second credit data comprise a second set of credit events wherein at least a subset of the second set of credit events describes same credit events in the first set of credit events; and

identify a plurality of credit events from the first credit data and the second credit data associated with the consumer, wherein the plurality of credit events comprise the subset of the second set of credit events;

a timeline generation module configured to;

for each credit event of the plurality of credit events;

determine a first credit score impact for the first credit bureau;

determine a second credit score impact for the second credit bureau;

determine a first visual indicator for the first credit bureau indicating the first credit score impact associated with the credit event; and

determine a second visual indicator associated with the second credit bureau indicating the second credit score impact associated with the same credit event; and

organize the plurality of credit events and associated credit score impacts into a chronological order;

a user interface module configured to;

using the accessed credit data, the organized plurality of credit events, and the determined visual indicators, automatically generate and transmit a user interface to a computing device of a user, the user interface including;

(1) a credit event timeline indicating the plurality of credit events in the chronological order,

(2) descriptions of the plurality of credit events and the associated credit score impacts, and

(3) the first and the second visual indicators corresponding to the plurality of credit events.

2. The computing system of claim 1, wherein each of the plurality of credit events is associated with a single credit account of the consumer.

3. The computing system of claim 1, wherein the user interface includes respective historical credit scores associated with each of the plurality of credit events.

4. The computing system of claim 1, wherein the timeline generation module is further configured to:

determine, for a particular credit event, an expected future event associated with the particular credit event, wherein the user interface includes an indication of the expected future event associated with a description of the particular credit event.

5. The computing system of claim 4, wherein the particular credit event is a credit inquiry and the expected future event is removal of an impact of the credit inquiry from the consumer'"'"'s credit data.

6. The computing system of claim 1, wherein the credit data gathering module is further configured to:

receive a first event description from the first credit bureau and a second event description from the second credit bureau, wherein the first event description is different than the second event description;

access a data structure including associations between respective event descriptions of the first credit bureau and event descriptions of the second credit bureau; and

determine, based on the associations in the data structure, that the first event description and the second event description are each associated with the same credit event.

7. The computing system of claim 1, wherein the timeline generation module is further configured to determine a third visual indicator indicating that a credit event of the plurality of credit events was not identified based on credit data of the consumer from a third credit bureau.

8. The computing system of claim 1, wherein the plurality of credit events is associated with respective credit accounts of a plurality of credit accounts of the consumer.

9. The computing system of claim 1, wherein the timeline generation module is further configured to:

determine, based at least on one of the first credit data or the second credit data of the consumer, one or more possible future credit events, wherein the user interface includes indications of the one or more possible future events.

10. The computing system of claim 1, wherein the user interface module is further configured to:

receive, from the consumer, a selection of at least one credit event attribute; and

determine a set of credit events having the selected credit event attribute;

wherein the credit event timeline comprises only the determined set of credit events.

11. The computing system of claim 10, wherein the selected credit event attribute comprises one or more of open accounts, closed accounts, late payments, credit inquiries, revolving credit accounts, installment loan accounts, accounts with payments due, credit events having a positive credit score impact, credit events having a negative credit score impact, or search terms provided by the consumer.

12. A method performed by a credit reporting computer for reconciling and presenting a credit event from a plurality of credit bureaus, the method comprising:

accessing first credit data associated with a consumer from a first credit bureau, wherein the first credit data comprise a first set of credit events;

accessing second credit data associated with the consumer from a second credit bureau, wherein the second credit data comprise a second set of credit events, and wherein at least a subset of the second set of credit events describes same credit events in the first set of credit events;

identifying a plurality of credit events from the first credit data and the second credit data associated with the consumer, wherein the plurality of credit events comprise the subset of the second set of credit events;

for each credit event of the plurality of credit events;

determining a first credit score impact for the first credit bureau;

determining a second credit score impact for the second credit bureau;

determining a first visual indicator for the first credit bureau indicating the first credit score impact the credit event;

determining a second visual indicator associated with the second credit bureau indicating the second credit score impact associated with the same credit event;

organizing the plurality of credit events and associated credit score impacts into a chronological order; and

using the accessed credit data, the organized plurality of credit events, and the determined visual indicators, automatically generating and transmitting a user interface to a computing device of a user, the user interface including (1) a credit event timeline indicating the plurality of credit events in the chronological order, (2) descriptions of the plurality of credit events and the associated credit score impacts, and (3) the first and the second visual indicators corresponding to the plurality of credit events.

13. The method of claim 12, wherein the user interface includes:

respective historical credit scores associated with each of the plurality of credit events; and

respective changes in credit scores associated with each of the plurality of credit events.

14. The method of claim 12, further comprising:

receiving a first event description from the first credit bureau and a second event description from the second credit bureau, wherein the first event description is different than the second event description;

accessing a data structure including associations between respective event descriptions of the first credit bureau and event descriptions of the second credit bureau; and

determining, based on the associations in the data structure, that the first event description and the second event description are each associated with the same credit event.

15. A non-transitory computer readable medium containing program instructions for causing a computing system to:

access first credit data associated with a consumer from a first credit bureau, wherein the first credit data comprise a first set of credit events;

access second credit data associated with the consumer from a second credit bureau, wherein the second credit data comprise a second set of credit events where at least a subset of the second set of credit events describes same credit events in the first set of credit events;

identify a plurality of credit events from the first credit data and the second credit data associated with the consumer, wherein the plurality of credit events comprise the subset of the second set of credit events;

for each credit event of the plurality of credit events;

determine a first credit score impact for the first credit bureau;

determine a second credit score impact for the second credit bureau;

determine a first visual indicator for the first credit bureau indicating the first credit score impact associated with the credit event;

determine a second visual indicator associated with the second credit bureau indicating the second credit score impact associated with the same credit event;

organize the plurality of credit events and associated credit score impacts into a chronological order; and

using the accessed credit data, the organized plurality of credit events, and the determined visual indicators, automatically generate and transmit a user interface to a computing device of a user, the user interface including (1) a credit event timeline indicating the plurality of credit events in the chronological order, (2) descriptions of the plurality of credit events and the associated credit score impacts, and (3) the first and the second visual indicators corresponding to the plurality of credit events.

16. The non-transitory computer readable medium of claim 15, wherein the user interface includes:

respective historical credit scores associated with each of the plurality of credit events; and

respective changes in credit scores associated with each of the plurality of credit events.

17. The non-transitory computer readable medium of claim 15, wherein the instructions further cause the computing system to:

receive a first event description from the first credit bureau and a second event description from the second credit bureau, wherein the first event description is different than the second event description;

access a data structure including associations between respective event descriptions of the first credit bureau and event descriptions of the second credit bureau; and

determine, based on the associations in the data structure, that the first event description and the second event description are each associated with the same credit event.