Value metric and comparison interface for payment cards

Patent metadata

Field	Value
Publication number	US-11907993-B1
Application number	US-201916545619-A
Country	US
Kind code	B1
Filing date	Aug 20, 2019
Priority date	Aug 20, 2018
Publication date	Feb 20, 2024
Grant date	Feb 20, 2024

Abstract

Techniques are described for determining a value metric for each of a plurality of payment cards, and recommending payment card(s) based on their respective value metrics. Implementations provide a recommendation engine that analyzes user data and card data, and recommends payment card(s) that may be suitable for a user. The engine consumes usage data and credit score and uses that information, along with characteristics of various available cards, to develop a value metric for each payment card that indicates how valuable owning the card would be to the particular user, such as how much money the user can expect to make or lose every year if they use the card as indicated, given the card's interest rate, rewards, fees, and so forth. The engine can rank the cards according to their value metrics, and the top-ranked card(s) are presented to the user as recommendations in a user interface.

First claim

The invention claimed is:

1. A computer-implemented method performed by at least one processor, the method comprising:
receiving, by the at least one processor, user data associated with a user accessing an application executing on a user device;
calculating, by the at least one processor, a value metric for each of a plurality of payment cards, each respective value metric of a payment card indicating an estimated value of using a respective payment card of the plurality of payment cards, the respective value metric based at least partly on the user data and one or more characteristics of the respective payment card;
ranking, by the at least one processor, the plurality of payment cards according to their respective value metrics and, based at least partly on the ranking, designating at least one recommended payment card that is highest ranked among the plurality of payment cards; and
presenting, by the at least one processor and in multiple sections of the application, the plurality of payment cards and recommendation data indicating the at least one recommended payment card to the user, wherein the presentation of the plurality of payment cards includes at least one control to remove a particular payment card from the plurality of payment cards, and wherein the recommendation data is preserved through one or more application logout events.

2. The method of claim 1 , wherein the user data includes:
a credit score of the user;
an estimate of expenditures to be made by the user through use of the payment card during a time period; and
an estimate of a payoff amount to be paid on the payment card during the time period.

3. The method of claim 2 , wherein one or more of the credit score, the estimate of expenditures, and the estimate of the payoff are provided by the user through the application.

4. The method of claim 1 , wherein the one or more characteristics of the respective payment card include one or more of:
a reward earned through use of the respective payment card;
an interest rate of the respective payment card; and
a fee charged for use of the respective payment card.

5. The method of claim 1 , further comprising:
presenting, by the at least one processor, card data for each of the plurality of payment cards in the multiple sections of the application,
wherein presenting the recommendation data includes presenting a recommendation indicator with respective card data of each recommended payment card.

6. The method of claim 1 , wherein presenting the recommendation data further includes presenting, in at least one screen of the application, a comparison of the one or more characteristics of the at least one recommended payment card to the one or more characteristics of at least one other payment card.

7. The method of claim 6 , further comprising:
receiving, by the at least one processor, through the application, an indication of the at least one other payment card to be compared to the at least one recommended payment card.

8. The method of claim 6 , wherein the presented comparison further includes the value metric of the at least one recommended payment card and the value metric of the at least one other payment card.

9. The method of claim 1 , wherein the recommendation data persists across multiple different sessions of the application, each session being separated by a logout event, such that recommendations follow the user's navigation through multiple screens of the application over multiple sessions.

10. The method of claim 1 , wherein calculating the value metric for each of the plurality of payment cards comprises, for each value metric, evaluating expected usage of the payment card by the user among multiple expense categories, values of one or more rewards expected to be earned through the expected usage of the payment card, an expected balance to be carried on the payment card, an interest rate of the card, and fees for the payment card.

11. The method of claim 1 , wherein presenting the recommendation data in multiple sections of the application comprises presenting the recommendation data in combination with different browsing data present in each section of the application.

12. The method of claim 1 , wherein presentation of the recommendation data further comprises presenting one or more hyperlinks to resources describing the respective value metrics included in the recommendation data.

13. The method of claim 1 , wherein presentation of the plurality of payment cards further comprises a carousel control that permits a user to cycle between displays of individual payment cards while giving the perception of a rotating display.

14. A system comprising:
at least one processor; and
memory communicatively coupled to the at least one processor, the memory storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
receiving user data associated with a user accessing an application executing on a user device;
calculating a value metric for each of a plurality of payment cards, each respective value metric of a payment card indicating an estimated value of using a respective payment card of the plurality of payment cards, the respective value metric based at least partly on the user data and one or more characteristics of the respective payment card;
ranking the plurality of payment cards according to their respective value metrics and, based at least partly on the ranking, designating at least one recommended payment card that is highest ranked among the plurality of payment cards; and
presenting the plurality of payment cards and recommendation data indicating the at least one recommended payment card to the user in multiple sections of the application;
wherein the presentation of the plurality of payment cards includes at least one control to remove a particular payment card from the plurality of payment cards, and wherein the recommendation data is preserved through one or more application logout events.

15. The system of claim 14 , wherein the user data includes:
a credit score of the user;
an estimate of expenditures to be made by the user through use of the payment card during a time period; and
an estimate of a payoff amount to be paid on the payment card during the time period.

16. The system of claim 15 , wherein one or more of the credit score, the estimate of expenditures, and the estimate of the payoff are provided by the user through the application.

17. The system of claim 14 , wherein the one or more characteristics of the respective payment card include one or more of:
a reward earned through use of the respective payment card;
an interest rate of the respective payment card; and
a fee charged for use of the respective payment card.

18. The system of claim 14 , the operations further comprising:
presenting card data for each of the plurality of payment cards in the multiple sections of the application,
wherein presenting the recommendation data includes presenting a recommendation indicator with respective card data of each recommended payment card.

19. The system of claim 14 , wherein presenting the recommendation data further includes presenting, in at least one screen of the application, a comparison of the one or more characteristics of the at least one recommended payment card to the one or more characteristics of at least one other payment card.

20. The system of claim 19 , wherein the presented comparison further includes the value metric of the at least one

Assignees

• United States Automobile Ass Usaa
• Usaa

Inventors

• Kelley Christopher Patrick
• Joplin Jarrod Lawrence
• Zaharia Daniel Ronald
• Stevens Carly Jean
• Holstien Sean
• Williams Cornelius
• Mock Trisha Suzanne
• Hicks Elainie B
• Gregory Christopher
• Griffin John
• Clark Ryan
• Kelley Audra

Classifications

• G06Q30/0629 Primary

  by pre-processing results, e.g. ranking or ordering results · CPC title

• G06Q20/34

  using cards, e.g. integrated circuit [IC] cards or magnetic cards · CPC title

• G06Q30/0631

  Recommending goods or services · CPC title

• G06Q40/03

  Credit; Loans; Processing thereof · CPC title

• G06Q40/02

  Banking, e.g. interest calculation or account maintenance (credit or loans G06Q40/03) · CPC title