Systems and methods for peer-to-peer secured instrument securitization

Patent metadata

Field	Value
Publication number	US-2025021958-A1
Application number	US-202418768168-A
Country	US
Kind code	A1
Filing date	Jul 10, 2024
Priority date	Jul 10, 2023
Publication date	Jan 16, 2025
Grant date	—

Abstract

Systems and methods provide a framework through which securitization of a secured payment instrument is performed through real-time solicitation of peers for a security deposit associated with the secured payment instrument. The systems and methods, through training of machine learning algorithm, generate a recommendation for one or more peers that can be solicited for a security deposit associated with the secured payment instrument. If the security deposit is obtained, the secured payment instrument is issued. The security deposit is returned to the peers that contributed to the security deposit upon graduation of the secured payment instrument according to their pro rata contribution to the security deposit.

First claim

What is claimed is:

1 . A computer-implemented method, comprising:
receiving an application for a secured payment instrument, wherein the application includes contact information corresponding to a set of peers associated with a user; training a machine learning algorithm to generate a recommendation for one or more peers from the set of peers for solicitation of a security deposit associated with the secured payment instrument, wherein the machine learning algorithm is trained using the application, the contact information, and historical data corresponding to other users; obtaining the security deposit, wherein the security deposit is obtained according to contributions associated with the one or more peers and the user; issuing the secured payment instrument, wherein the secured payment instrument is secured by the security deposit; updating the machine learning algorithm, wherein the machine learning algorithm is updated using transaction data corresponding to usage of the secured payment instrument, the contributions, and the historical data; detecting that an offer to graduate the secured payment instrument to an unsecured payment instrument is available; and automatically disbursing an available amount from the security deposit according to the contributions and to a balance associated with the secured payment instrument.

2 . The computer-implemented method of claim 1 , further comprising:
automatically processing the transaction data in real-time to identify one or more rewards associated with the secured payment instrument; and distributing the one or more rewards according to the contributions.

3 . The computer-implemented method of claim 1 , further comprising:
performing a credit evaluation associated with the user, wherein the credit evaluation is performed in response to obtaining the security deposit; and determining whether to issue the secured payment instrument based on the credit evaluation.

4 . The computer-implemented method of claim 1 , further comprising:
automatically transmitting a solicitation for a contribution to the security deposit, wherein the solicitation is transmitted according to the recommendation.

5 . The computer-implemented method of claim 1 , further comprising:
providing the recommendation, wherein when the recommendation is obtained by the user, the user solicits the one or more peers for a contribution to the security deposit; obtaining feedback corresponding to the recommendation and solicitation of the one or more peers for the contribution to the security deposit; and dynamically updating the machine learning algorithm based on the feedback.

6 . The computer-implemented method of claim 1 , further comprising:
providing a set of disbursement options for the contributions, wherein the set of disbursement options are provided as a result of detecting that the offer is available, and wherein the security deposit is automatically disbursed according to selections from the set of disbursement options.

7 . The computer-implemented method of claim 1 , further comprising:
using a contribution associated with the user for the security deposit to settle the balance, wherein the contribution is used in response to an acceptance of the offer to graduate the secured payment instrument to the unsecured payment instrument.

8 . A system, comprising:
one or more processors; and memory storing thereon instructions that, as a result of being executed by the one or more processors, cause the system to:
receive an application for a secured payment instrument, wherein the application includes contact information corresponding to a set of peers associated with a user;
train a machine learning algorithm to generate a recommendation for one or more peers from the set of peers for solicitation of a security deposit associated with the secured payment instrument, wherein the machine learning algorithm is trained using the application, the contact information, and historical data corresponding to other users;
obtain the security deposit, wherein the security deposit is obtained according to contributions associated with the one or more peers and the user;
issue the secured payment instrument, wherein the secured payment instrument is secured by the security deposit;
update the machine learning algorithm, wherein the machine learning algorithm is updated using transaction data corresponding to usage of the secured payment instrument, the contributions, and the historical data;
detect that an offer to graduate the secured payment instrument to an unsecured payment instrument is available; and
automatically disburse an available amount from the security deposit according to the contributions and to a balance associated with the secured payment instrument.

9 . The system of claim 8 , wherein the instructions further cause the system to:
automatically process the transaction data in real-time to identify one or more rewards associated with the secured payment instrument; and distribute the one or more rewards according to the contributions.

10 . The system of claim 8 , wherein the instructions further cause the system to:
perform a credit evaluation associated with the user, wherein the credit evaluation is performed in response to obtaining the security deposit; and determine whether to issue the secured payment instrument based on the credit evaluation.

11 . The system of claim 8 , wherein the instructions further cause the system to:
automatically transmit a solicitation for a contribution to the security deposit, wherein the solicitation is transmitted according to the recommendation.

12 . The system of claim 8 , wherein the instructions further cause the system to:
provide the recommendation, wherein when the recommendation is obtained by the user, the user solicits the one or more peers for a contribution to the security deposit; obtain feedback corresponding to the recommendation and solicitation of the one or more peers for the contribution to the security deposit; and dynamically update the machine learning algorithm based on the feedback.

13 . The system of claim 8 , wherein the instructions further cause the system to:
provide a set of disbursement options for the contributions, wherein the set of disbursement options are provided as a result of detecting that the offer is available, and wherein the security deposit is automatically disbursed according to selections from the set of disbursement options.

14 . The system of claim 8 , wherein the instructions further cause the system to:
use a contribution associated with the user for the security deposit to settle the balance, wherein the contribution is used in response to an acceptance of the offer to graduate the secured payment instrument to the unsecured payment instrument.

15 . A non-transitory, computer-readable storage medium storing thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the computer system to:
receive an application for a secured payment instrument, wherein the application includes contact information corresponding to a set of peers associated with a user; train a machine learning algorithm to generate a recommendation for one or more peers from the set of peers for solicitation of a security deposit associated with the secured payment instrument, wherein the machine learning algorithm is trained using the application, the contact information, and historical data corresponding to other users; obtain the security deposit, wherein the security deposit is obtained accor

Assignees

• Synchrony Bank

Inventors

• Kievit William
• Storiale Michael
• Bridges Kaeli
• Weathers Felicia
• White Cody
• Joshi Shruti
• Bueltel Katie
• Lichomska Dominika

Classifications

• G06Q20/405

  Establishing or using transaction specific rules · CPC title

• G06Q20/102

  Bill distribution or payments · CPC title

• G06Q20/223 Primary

  based on the use of peer-to-peer networks · CPC title

• G06Q40/03

  Credit; Loans; Processing thereof · CPC title

• G06Q30/0215

  Including financial accounts · CPC title