IP Library Granted Patent US 10,565,568
Granted Patent B2
US 10,565,568 · App. 16/209,766 · Granted Feb 18, 2020

System and method for processing transaction records for users

Inventors: David M. Barrett (San Francisco, CA); Kevin Michael Kuchta (San Francisco, CA)
Assignee: Expensify, Inc.
G06Q20/045G06K9/00456G06K9/03G06K9/18G06Q20/401G06Q40/02G06Q40/12
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Quick Facts
Patent No.
US 10,565,568
App. No.
16/209,766
Granted
Feb 18, 2020
Kind
B2
Abstract

A computer system can implement a network service by receiving, from a computing device of a user, image data comprising an image of a record. the computer system can then execute image processing logic to determine a first set of information items from the image, and identify a second set of information items that are not determinable from the record. The computer system may then execute augmentation logic to process the record by (i) accessing a transaction database to identify a plurality of transactions made by the user, (ii) using the first set of information items, identifying a matching transaction from the plurality of transactions that pertains to the record, and (iii) resolving the second set of information items using the matching transaction. The computer system can classify the record in a user account of and generate an expense report for the user.

Claims (49)

1. A computer system implementing a network service, comprising:

a network communication interface connecting, over one or more networks, with computing devices of users of the network service;

a memory storing instructions;

one or more processors executing the instructions, causing the computer system to:

receive, from the computing device of a user of the network service, image data comprising an image of a financial record;

execute image processing logic to determine a first set of information items from the image, and identify a second set of information items that are not determinable from the record;

execute augmentation logic to process the record by (i) accessing a transaction database of a financial institution associated with the user to identify a plurality of financial transactions made by the user, (ii) using the first set of information items, identifying a matching financial transaction from the plurality of financial transactions that pertains to the record, and (iii) resolving the second set of information items using the matching financial transaction;

classify the record in a user account of the user based on the first and second sets of information items;

generate an expense report for the user, the expense report comprising the classified record as well as classified records corresponding to the plurality of financial transactions recorded by the user in connection with the network service; and

provide, over the one or more networks, the expense report to the computing device of the user.

2. The computer system of claim 1 , wherein the second set of information items identifies one or more of a merchant, a transaction value, or a date of transaction of the record.

3. The computer system of claim 1 , wherein execution of the augmentation logic causes the computer system to further process the record by querying a merchant database using the first set of information items.

4. The computer system of claim 1 , wherein the executed instructions cause the computer system to classify the record as a particular type of financial receipt.

5. The computer system of claim 1 , wherein the executed instructions cause the computer system to associate the classified record with a financial account of the user.

6. The computer system of claim 1 , wherein the executed instructions cause the computer system to associate the classified record with a cash transaction of the user.

7. The computer system of claim 1 , wherein the executed instructions further cause the computer system to:

execute verification logic to verify accuracy of the first set of information items based on transaction information of the matching financial transaction.

8. The computer system of claim 7 , wherein the executed instructions further cause the computer system to:

identify a conflict between an information item as identified in the first set of information items and the transaction information of the matching financial transaction; and

execute comparison logic to reconcile the conflict by selecting one of (i) the first set of information items, or (ii) the transaction information.

9. A non-transitory computer readable medium storing instructions that, when executed by one or more processors of a computer system, cause the computer system to:

communicate, over one or more networks, with computing devices of users of a network service;

receive, from the computing device of a user of the network service, image data comprising an image of a record;

execute image processing logic to determine a first set of information items from the image, and identify a second set of information items that are not determinable from the record;

execute augmentation logic to process the record by (i) accessing a transaction database of a financial institution associated with the user to identify a plurality of financial transactions made by the user, (ii) using the first set of information items, identifying a matching financial transaction from the plurality of financial transactions that pertains to the record, and (iii) resolving the second set of information items using the matching financial transaction;

classify the record in a user account of the user based on the first and second sets of information items;

generate an expense report for the user, the expense report comprising the classified record as well as classified records corresponding to the plurality of financial transactions recorded by the user in connection with the network service; and

provide, over the one or more networks, the expense report to the computing device of the user.

10. The non-transitory computer readable medium of claim 9 , wherein the second set of information items identifies one or more of a merchant, a transaction value, or a date of transaction of the record.

11. The non-transitory computer readable medium of claim 9 , wherein execution of the augmentation logic causes the computer system to further process the record by querying a merchant database using the first set of information items.

12. The non-transitory computer readable medium of claim 9 , wherein the executed instructions cause the computer system to classify the record as a particular type of financial receipt.

13. The non-transitory computer readable medium of claim 9 , wherein the executed instructions cause the computer system to associate the classified record with a financial account of the user.

14. The non-transitory computer readable medium of claim 9 , wherein the executed instructions cause the computer system to associate the classified record with a cash transaction of the user.

15. The non-transitory computer readable medium of claim 9 , wherein the executed instructions further cause the computer system to:

execute verification logic to verify accuracy of the first set of information items based on transaction information of the matching financial transaction.

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

identify a conflict between an information item as identified in the first set of information items and the transaction information of the matching financial transaction; and

execute comparison logic to reconcile the conflict by selecting one of (i) the first set of information items, or (ii) the transaction information.

17. A computer-implemented method of implementing a network service, the method being performed by one or more processors and comprising:

communicating, over one or more networks, with computing devices of users of the network service;

receiving, from the computing device of a user of the network service, image data comprising an image of a record;

executing image processing logic to determine a first set of information items from the image, and identify a second set of information items that are not determinable from the record;

executing augmentation logic to process the record by (i) accessing a transaction database of a financial institution associated with the user to identify a plurality of financial transactions made by the user, (ii) using the first set of information items, identifying a matching financial transaction from the plurality of financial transactions that pertains to the record, and (iii) resolving the second set of information items using the matching financial transaction;

classifying the record in a user account of the user based on the first and second sets of information items;

generating an expense report for the user, the expense report comprising the classified record as well as classified records corresponding to the plurality of financial transactions recorded by the user in connection with the network service; and

providing, over the one or more networks, the expense report to the computing device of the user.

18. The computer-implemented method of claim 17 , wherein the second set of information items identifies one or more of a merchant, a transaction value, or a date of transaction of the record.

19. The computer-implemented method of claim 17 , wherein execution of the augmentation logic causes the one or more processors to further process the record by querying a merchant database using the first set of information items.

20. The computer-implemented method of claim 17 , wherein the one or more processors classify the record as a particular type of financial receipt.

Assignments (2)
SECURITY INTEREST Recorded Nov 20, 2019
From: EXPENSIFY, INC.
To: CANADIAN IMPERIAL BANK OF COMMERCE
Reel/Frame 051057/0269 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 11, 2019
From: BARRETT, DAVID M.; KUCHTA, KEVIN MICHAEL
To: EXPENSIFY, INC.
Reel/Frame 047970/0975 →
Continuity (5)
Continuation 14887079 · Oct 19, 2015
Continuation 14489357 · Sep 17, 2014
Continuation 13469016 · May 10, 2012
Provisional Application 61484654 · May 10, 2011
Related Publication 20190114599A1 · Apr 18, 2019