US 12,229,743 B2
Post-purchase credit offer and tender switch
Michael Storiale, Rocky Hill, CT (US); Lisa Hammond, Alpharetta, GA (US); William Kievit, Stamford, CT (US); Tiffanie Terry, Charlotte, NC (US); Carter Hudson, Charlotte, NC (US); and Jake Miller, Stamford, CT (US)
Assigned to Synchrony Bank, Stamford, CT (US)
Filed by Synchrony Bank, Stamford, CT (US)
Filed on Dec. 27, 2023, as Appl. No. 18/397,335.
Application 18/397,335 is a continuation of application No. 17/471,227, filed on Sep. 10, 2021, granted, now 11,893,564.
Application 17/471,227 is a continuation of application No. 16/923,342, filed on Jul. 8, 2020, granted, now 11,144,904, issued on Oct. 12, 2021.
Claims priority of provisional application 62/871,550, filed on Jul. 8, 2019.
Prior Publication US 2024/0185210 A1, Jun. 6, 2024
Int. Cl. G06Q 20/22 (2012.01); G06Q 20/40 (2012.01); G06Q 30/0235 (2023.01); G06Q 40/03 (2023.01)
CPC G06Q 20/227 (2013.01) [G06Q 20/4037 (2013.01); G06Q 30/0235 (2013.01); G06Q 40/03 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
determining a completion of a transaction at a point-of-sale system, wherein the completed transaction is held as a pending transaction until authorization for fulfillment of the transaction is provided, wherein the completed transaction specifies a selected payment instrument associated with a customer, wherein the completed transaction is associated with an amount that was used for completing the transaction, and wherein the amount is less than a first authorized line of credit associated with the selected payment instrument;
using a trained machine learning algorithm to switch the completed transaction from the selected payment instrument to a preferred payment instrument while the completed transaction is held as the pending transaction, wherein the machine learning algorithm is trained using a training dataset including historical transaction data associated with other customers;
identifying a second authorized line of credit for the preferred payment instrument;
determining that the amount associated with the transaction is greater than the second authorized line of credit;
transmitting an offer that includes splitting the amount into a first sub-amount that will remain under the selected payment instrument and a second sub-amount that will switch to the preferred payment instrument, wherein the second sub-amount is less than the second authorized line of credit;
detecting acceptance of the offer;
switching the second sub-amount to the preferred payment instrument, wherein the first sub-amount remains under the selected payment instrument;
authorizing the fulfillment of the completed transaction; and
determining that the completed transaction is no longer being held as the pending transaction, wherein the trained machine learning algorithm is further trained based on the completed transaction and the acceptance of the offer.