Systems and methods for determining a provider-specific likelihood of payment acceptance

1. A method comprising:

receiving, by a transaction management computing apparatus, an electronic payment estimate via a secure communication channel for services rendered by a provider associated with a provider computing device, wherein the payment estimate is specified by an invoice generated by the provider computing device;

determining, by the transaction management computing apparatus, a likelihood of payment acceptance by the provider for a payment amount acceptable to the provider by applying a machine learning algorithm, wherein the machine learning algorithm is trained on historical contextual information for the provider;

determining that the likelihood of payment acceptance exceeds a threshold, and generating, by the transaction management computing apparatus, an exact amount acceptable to the provider computing device comprising the payment amount acceptable to the provider;

determining, by the transaction management computing apparatus, whether the generated exact amount is acceptable to the provider computing device; and

completing, by the transaction management computing apparatus, a payment transaction with the generated exact amount when the generated exact amount is determined to be acceptable to the provider computing device.

2. The method as set forth in claim 1 wherein the historical payment acceptance data for the provider comprises negotiation data associated with the provider computing device.

3. The method as set forth in claim 1 wherein the payment amount acceptable to the provider computing device comprises applying a likelihood of acceptance tool to a type of pending invoice.

4. The method as set forth in claim 1 further comprising, generating a new exact amount for the provider computing device when the generated exact amount is unacceptable to the provider computing device.

5. A non-transitory computer readable medium having stored thereon instructions for completing a transaction comprising executable code, which when executed by at least one processor, cause the processor to:

receive a payment estimate for a provider computing device via a secure communication channel for services rendered by a provider associated with a provider computing device, wherein the payment estimate is specified by an invoice generated by the provider computing device;

determining a likelihood of payment acceptance by the provider for a payment amount acceptable to the provider by applying a machine learning algorithm, wherein the machine learning algorithm is trained on historical contextual information for the provider;

determining that the likelihood of payment acceptance exceeds a threshold, and generate an exact amount acceptable to the provider computing device comprising the payment amount acceptable to the provider;

determine when the generated exact amount is acceptable to the provider computing device; and

complete a payment transaction with the exact amount when the generated exact amount is determined to be acceptable to the provider computing device.

6. The medium as set forth in claim 5 wherein the historical payment acceptance data for the provider comprises negotiation data associated with the provider computing device.

7. The medium as set forth in claim 5 wherein the payment amount acceptable to the provider computing device comprises applying a likelihood of acceptance tool to a type of pending invoice.

8. The medium as set forth in claim 5 further comprising, generating a new exact amount for the provider computing device when the generated exact amount is unacceptable to the provider computing device.

9. A transaction management computing apparatus comprising:

a processor; and

a memory coupled to the processor which is configured to be capable of executing programmed instructions comprising and stored in the memory to:

receive a payment estimate for a provider computing device via a secure communication channel for services rendered by a provider associated with a provider computing device, wherein the payment estimate is specified by an invoice generated by the provider computing device;

determine a likelihood of payment acceptance by the provider for a payment amount acceptable to the provider by applying a machine learning algorithm, wherein the machine learning algorithm is trained on historical contextual information for the provider;

determining that the likelihood of payment acceptance exceeds a threshold, and generate an exact amount acceptable to the provider computing device comprising the determined payment amount acceptable to the provider;

determine when the generated exact amount is acceptable to the provider computing device; and

complete a payment transaction with the generated exact amount when the generated exact amount is determined to be acceptable to the provider computing device.

10. The apparatus as set forth in claim 9 wherein the historical payment acceptance data for the provider comprises negotiation data associated with the provider computing device.

11. The apparatus as set forth in claim 9 wherein the payment amount acceptable to the provider computing device comprises applying a likelihood of acceptance tool to a type of pending invoice.

12. The apparatus as set forth in claim 11 wherein the processor is further configured to be capable of executing the stored programmed instructions to generate a new exact amount for the provider computing device when the generated exact amount is unacceptable to the provider computing device.