SYSTEM AND METHOD FOR GENERATING DYNAMIC REPAYMENT TERMS

1 . A method comprising, by one or more computing devices associated with a payment service system (PSS):

creating, by the PSS, a user account associated with a user and maintained by the PSS, wherein the user account is associated with a payment card, the payment card having a corresponding limit and a base interest rate, wherein the user account is further configured to record a different additional interest rate for each of a plurality of transactions up to the limit;

receiving, by the PSS, a payment request to charge the payment card for a value of a transaction;

in response to receiving the payment request, identifying, by the PSS, purchase characteristics of the transaction;

based on the identified purchase characteristics of the transaction and historical repayment data stored in a data store of the PSS, determining, by the PSS, an additional interest rate to be associated with the value of the transaction;

providing, by the PSS after receiving the payment request for the transaction, the additional interest rate to be associated with the value of the transaction to the user for approval; and

upon receiving a payment confirmation and approval of the additional interest rate from the user associated with the user account, updating, by the PSS, the user account to include the value of the transaction as an amount owed against the payment card at the determined additional interest rate.

2 . The method of claim 1 , wherein the one or more identified purchase characteristics comprise one or more of:

whether the transaction is for a product or a service,

a category associated with the product or the service,

a date and time associated with the transaction,

a merchant category code (MCC) associated with the transaction, and

whether the product or the service is identified as a luxury item.

3 . The method of claim 1 , further comprising:

facilitating processing of the payment request using the user account and the payment card.

4 . The method of claim 1 , further comprising:

assessing one or more prior transactions with a machine learning model to identify one or more risk factors associated with the one or more prior transactions; and

analyzing, by using the machine learning model, details of the transaction to identify one or more current risk factors associated with the transaction based on a comparison of details of the transaction to the one or more prior transactions, and

wherein determining the additional interest rate to be associated with the value of the transaction is further based on the identified current risk factors associated with the transaction.

5 . A method comprising, by one or more computing devices associated with a payment service system (PSS):

creating, by the PSS, a user account associated with a user and maintained by the PSS, wherein the user account is associated with a debt instrument, the debt instrument having a corresponding limit and a base interest rate, wherein the user account is further configured to record a different additional interest rate for each of a plurality of transactions up to the limit;

receiving, by the PSS and from a mobile device of the user, a payment request to access the debt instrument for a value of a transaction;

in response to receiving the payment request, identifying, by the PSS, characteristics of the transaction;

based on the identified characteristics of the transaction, determining, by the PSS, an additional interest rate to be associated with the value of the transaction;

providing, by the PSS after receiving the payment request, the additional interest rate to the user for approval; and

upon receiving a payment confirmation and approval of the additional interest rate from the user, updating, by the PSS, the user account to include the value of the transaction as an amount owed against the debt instrument at the determined additional interest rate.

6 . The method of claim 5 , wherein the user account is a revolving account that includes dynamic repayment terms for each transaction.

7 . The method of claim 5 ,

wherein determining the additional interest rate includes modifying the base interest rate to a revised interest rate for the transaction.

8 . The method of claim 5 , wherein the debt instrument is a payment card, and wherein the payment request is a payment request to charge the payment card for the value of the transaction.

9 . The method of claim 5 , further comprising:

facilitating processing of the payment request using the user account and the debt instrument.

10 . The method of claim 5 , wherein the user is a merchant using payment services of the PSS.

11 . The method of claim 10 , wherein determining the additional interest rate further comprises using a machine learning model applied to one or more of attributes of an item or service associated with the transaction, a current merchant inventory of the merchant, or a recent transaction activity of the merchant.

12 . The method of claim 5 , wherein determining the additional interest rate comprises using a machine learning model applied to one or more of an incoming payroll, a deposits activity, cash flow associated with equities or securities, or peer-to-peer transactions.

13 . A payment service system (PSS) comprising:

one or more processors; and

one or more computer-readable non-transitory storage media coupled to one or more of the processors and comprising instructions operable when executed by one or more of the processors to cause the payment service system to:

create, by the PSS, a user account associated with a user and maintained by the PSS, wherein the user account is associated with a debt instrument, the debt instrument having a corresponding limit and a base interest rate, wherein the user account is further configured to record a different additional interest for each of a plurality of transactions up to the limit;

receive, by the PSS and from a mobile device of the user, a payment request to access the debt instrument for a value of a transaction;

in response to receiving the payment request, identify, by the PSS, characteristics of the transaction;

based on the identified characteristics of the transaction, determine, by the PSS, an additional interest rate to be associated with the value of the transaction;

provide, by the PSS after receiving the payment request, the additional interest rate to the user for approval; and

upon receiving a payment confirmation and approval of the additional interest rate from the user, update, by the PSS, the user account to include the value of the transaction as an amount owed against the debt instrument at the determined additional interest rate.

14 . The payment service system of claim 13 , wherein the user account is a revolving account that includes dynamic repayment terms for each transaction.

15 . The payment service system of claim 13 ,

wherein determining the additional interest rate includes modifying the base interest rate to a revised interest rate for the transaction.

16 . (canceled)

17 . The payment service system of claim 13 , wherein the instructions are further operable when executed by the one or more processors to cause the payment service system to facilitate processing of the payment request using the user account and the debt instrument.

18 . The payment service system of claim 13 , wherein the user is a merchant using payment services of the PSS.

19 . The payment service system of claim 18 , wherein determining the additional interest rate further comprises an application of a machine learning model to one or more of attributes of an item or service associated with the transaction, a current merchant inventory of the merchant, or a recent transaction activity of the merchant.

20 . The payment service system of claim 13 , wherein determining the additional interest rate comprises an application of a machine learning model to one or more of an incoming payroll, a deposits activity, cash flow associated with equities or securities, or peer-to-peer transactions.

21 . The method of claim 4 , further comprising:

upon receiving a payment confirmation from the user associated with the user account and approval of the additional interest rate, storing the identified purchase characteristics in association with the additional interest rate for use in future training of the machine learning model.