Granted Patent B2

US 12,293,214 · App. 17/859,102 · Granted May 6, 2025

Inventors: Nishant Srivastava (Glen Allen, VA); Joshua Condon (Maidens, VA); Eric K. Barnum (Midlothian, VA)

Assignee: Capital One Services, LLC

G06F9/466G06F9/3005G06F9/3555G06F9/44505

Abstract

Claims (66)

1. A computer-implemented method comprising:

determining, by a streaming data platform, that processing of a transaction object according to a first workflow, corresponding to a transaction type of the transaction object, did not complete successfully;

determining, by a classification microservice and based on transaction details associated with the transaction object, whether the transaction object comprises information that would allow the transaction object to be processed via a second workflow, wherein the second workflow corresponds to an alternative transaction type and comprises a plurality of processing steps to process a transaction different from a plurality of processing steps associated with the first workflow;

sending, based on a determination that the transaction object can be processed via the second workflow, a request for approval to process the transaction object via the second workflow;

adding, by the classification microservice and based on receiving approval to process the transaction object via the second workflow, the transaction object to the streaming data platform with an indication of the second workflow;

retrieving, by a first microservice, a plurality of transaction objects, wherein the plurality of transaction objects comprises the transaction object;

processing, by the first microservice and based on a determination that a current workflow stage of the transaction object matches a first workflow stage associated with first microservice, the transaction object;

determining that the current workflow stage of the transaction object indicates that the transaction object has completed processing corresponding to the second workflow; and

removing the transaction object from the streaming data platform and outputting the transaction object with an indication that the transaction object has completed the processing corresponding to the second workflow to a downstream system.

2. The computer-implemented method of claim 1 , wherein the determining, by the classification microservice, whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow further comprises:

determining, by the classification microservice, a first transaction cost associated with completing the transaction using the first workflow; and

determining, by the classification microservice and using one or more machine-learning models, a second transaction cost for processing the transaction object according to the second workflow, wherein the determination that the transaction object can be processed via the second workflow is further based on an indication that the second transaction cost represents a more cost-effective approach than the first transaction cost.

3. The computer-implemented method of claim 2 , wherein the first transaction cost and the second transaction cost comprise at least one of: payor transaction costs, payee transaction costs, or processing entity transaction costs.

4. The computer-implemented method of claim 2 , wherein the first transaction cost and the second transaction cost comprise late fees associated with untimely completion of the transaction processing.

5. The computer-implemented method of claim 1 , wherein the determining, by the classification microservice, whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow further comprises:

determining, by the classification microservice, based on transaction metadata associated with the transaction object, a first transaction speed associated with processing the transaction according to the first workflow; and

determining, by the classification microservice, based on one or more machine-learning models, a second transaction speed associated with processing the transaction according to the second workflow, wherein the determination that the transaction object can be processed via the second workflow is further based on the second transaction speed being faster than the first transaction speed.

6. The computer-implemented method of claim 1 , wherein the determining, by the classification microservice, whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow further comprises:

determining, by the classification microservice, a first security level associated with processing the transaction according to the first workflow; and

determining, by the classification microservice and based on one or more machine-learning models, a second security level associated with processing the transaction according to the second workflow, wherein the determination that the transaction object can be processed via the second workflow is further based on the second workflow being at least as secure as the first workflow.

7. The computer-implemented method of claim 1 , wherein the determining, by the classification microservice, whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow further comprises:

determining, by the classification microservice and based on transaction metadata, a first completion probability associated with processing the transaction according to the first workflow; and

determining, by the classification microservice and based on one or more machine-learning models analyzing the transaction metadata, a second completion probability associated with processing the transaction according to the second workflow, wherein the determination that the transaction object can be processed via the second workflow is further based on the second completion probability being greater than or equal to the first completion probability.

8. The computer-implemented method of claim 1 , wherein the determining, by the classification microservice, whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow further comprises:

determining, by the classification microservice and based on transaction metadata, a first scalability associated with processing the transaction according to the first workflow; and

determining, by the classification microservice and based on one or more machine-learning models analyzing the transaction metadata, a second scalability associated with processing the transaction according to the second workflow, wherein the determination that the transaction object can be processed via the second workflow is further based on the second scalability being greater than or equal to the first scalability.

9. The computer-implemented method of claim 1 , wherein the determining, by the classification microservice, whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow is further based on a determination that the second workflow is at least as efficient as the first workflow.

10. The computer-implemented method of claim 1 , wherein the determining, by the classification microservice, whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow is further based on the second workflow completing processing of the transaction before a transaction deadline of the transaction.

11. One or more non-transitory computer readable media comprising instructions that, when executed by at least one processor, cause a computing device to perform operations comprising:

determining that processing of a transaction object according to a first workflow, corresponding to a transaction type of the transaction object, did not complete successfully;

determining, by a classification microservice and based on transaction details associated with the transaction object, whether the transaction object comprises information that would allow the transaction object to be processed via a second workflow, wherein the second workflow corresponds to an alternative transaction type and comprises a plurality of processing steps to process a transaction different from a plurality of processing steps associated with the first workflow;

sending, based on a determination that the transaction object can be processed via the second workflow, a request for approval to process the transaction object via the second workflow;

adding, by the classification microservice and based on receiving approval to process the transaction object via the second workflow, the transaction object to a streaming data platform with an indication of the second workflow;

retrieving, by a first microservice, a plurality of transaction objects, wherein the plurality of transaction objects comprises the transaction object;

processing, by the first microservice and based on a determination that a current workflow stage of the transaction object matches a first workflow stage associated with first microservice, the transaction object;

determining that the current workflow stage of the transaction object indicates that the transaction object has completed processing corresponding to the second workflow; and

removing the transaction object from the streaming data platform and outputting the transaction object with an indication that the transaction object has completed the processing corresponding to the second workflow to a downstream system.

12. The one or more non-transitory computer readable media of claim 11 , wherein the determining, by the classification microservice, whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow further comprises:

determining, by the classification microservice, a first transaction cost associated with completing the transaction using the first workflow; and

determining, by the classification microservice and using one or more machine-learning models, a second transaction cost for processing the transaction object according to the second workflow, wherein the determination that the transaction object can be processed via the second workflow is further based on an indication that the second transaction cost represents a more cost-effective approach than the first transaction cost.

13. The one or more non-transitory computer readable media of claim 12 , wherein the first transaction cost and the second transaction cost comprise at least one of: payor transaction costs, payee transaction costs, or processing entity transaction costs.

14. The one or more non-transitory computer readable media of claim 12 , wherein the first transaction cost and the second transaction cost comprise late fees associated with untimely completion of the transaction processing.

15. The one or more non-transitory computer readable media of claim 11 , wherein the determining, by the classification microservice, whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow further comprises:

determining, by the classification microservice, based on transaction metadata associated with the transaction object, a first transaction speed associated with processing the transaction according to the first workflow; and

determining, by the classification microservice, based on one or more machine-learning models, a second transaction speed associated with processing the transaction according to the second workflow, wherein the determination that the transaction object can be processed via the second workflow is further based the second transaction speed being faster than the first transaction speed.

16. A transaction exchange platform comprising:

a streaming data platform;

a plurality of microservices comprising at least a classification microservice and a first microservice, wherein the classification microservice and the first microservice are automatically configured to watch for transactions on the streaming data platform in corresponding workflow stages based on a plurality of workflows corresponding to a plurality of transaction types;

at least one processor; and

memory storing instructions that, when executed by the at least one processor, cause the transaction exchange platform to:

determine, by the streaming data platform, that processing of a transaction object according to a first workflow, corresponding to a transaction type of the transaction object, did not complete successfully;

determine, by the classification microservice and based on transaction details associated with a transaction object, whether the transaction object comprises information that would allow the transaction object to be processed via a second workflow, wherein the second workflow corresponds to an alternative transaction type and comprises a plurality of processing steps to process a transaction different from a plurality of processing steps associated with the first workflow;

send, based on a determination that the transaction object can be processed via the second workflow, a request for approval to process the transaction object via the second workflow;

add, by the classification microservice and based on receiving approval to process the transaction object via the second workflow, the transaction object to the streaming data platform with an indication of the second workflow;

retrieve, by the first microservice, a plurality of transaction objects, wherein the plurality of transaction objects comprises the transaction object;

process, by the first microservice and based on a determination that a current workflow stage of the transaction object matches a first workflow stage associated with first microservice, the transaction object;

determine that the current workflow stage of the transaction object indicates that the transaction object has completed processing corresponding to the second workflow; and

remove the transaction object from the streaming data platform and output the transaction object with an indication that the transaction object has completed the processing corresponding to the second workflow to a downstream system.

17. The transaction exchange platform of claim 16 , wherein the instructions, when executed by the at least one processor, further cause the transaction exchange platform to:

determine a first transaction cost associated with completing the transaction using the first workflow; and

determine, using one or more machine-learning models, a second transaction cost for processing the transaction object according to the second workflow, wherein the determination that the transaction object can be processed via the second workflow is further based on an indication that the second transaction cost represents a more cost-effective approach than the first transaction cost.

18. The transaction exchange platform of claim 17 , wherein the first transaction cost and the second transaction cost comprise at least one of: payor transaction costs, payee transaction costs, or processing entity transaction costs.

19. The transaction exchange platform of claim 17 , wherein the first transaction cost and the second transaction cost comprise late fees associated with untimely completion of the transaction processing.

20. The transaction exchange platform of claim 16 , wherein the instructions to determine whether the transaction object comprises information that would allow the transaction object to be processed via the second workflow, when executed by the at least one processor, further cause the transaction exchange platform to:

determine, based on transaction metadata associated with the transaction object, a first transaction speed associated with processing the transaction according to the first workflow; and

determine, based on one or more machine-learning models, a second transaction speed associated with processing the transaction according to the second workflow, wherein the determination that the transaction object can be processed via the second workflow is further based the second transaction speed being faster than the first transaction speed.

Assignments (1)

Continuity (1)

References Cited (57)