Systems and methods for improving invoice management using enhanced analytical insight

A method comprising:

• receiving, at an invoice hub server through an invoice interface accessible to a third party invoice system, a plurality of open invoices directly from the third party invoice system, wherein each of the plurality of open invoices is associated with a transaction between a supplier and a buyer, and wherein each of the plurality of invoices comprises at least a buyer identifier, a supplier identifier associated with the supplier, and an invoice amount;
• identifying one or more supplier invoices from the plurality of open invoices, the supplier invoices relating to the same supplier;
• analyzing, by a machine-learning (ML) server in communication with the invoice hub server, the one or more supplier invoices relating to the same supplier, the analyzing further comprising:
• generating an invoice score for each of the one or more supplier invoices relating to the same supplier, each invoice score being based on at least a supplier score, a buyer score, or a payment schedule of a respective invoice;
• and
• automatically determining an advance payment amount for each of the one or more supplier invoices relating to the same supplier based on one or more of the respective invoice scores, wherein the advance payment amount correlates directly to one or more of the one or more invoice scores;
• generating, by the invoice hub server, an indication identifying each of the one or more supplier invoices relating to the same supplier and the respective advance payment amounts;
• receiving selection of one or more of the supplier invoices relating to the same supplier after generating the indication;
• and
• automatically transmitting an advance payment to the supplier based on the selected invoices.

A system comprising:

• an invoice hub server comprising machine-learning (ML) logic, one or more processors, and a non-transitory memory, the memory storing instructions that, when executed by the processor, cause the processor to perform processing comprising:
• receive, from an invoice interface accessible to a third party invoice system, a plurality of open invoices directly from the third party invoice system, wherein each of the plurality of open invoices is associated with a transaction between a supplier and a buyer, and wherein each of the plurality of invoices comprises at least a buyer identifier, a supplier identifier associated with the supplier, and an invoice amount;
• identify one or more supplier invoices from the plurality of open invoices, the supplier invoices relating to the same supplier;
• receive a supplier preference associated with at least one of the supplier invoices, the supplier preference designating at least one or more supplier invoices for advance processing;
• analyzing, by instructions associated with the ML logic, the designated one or more supplier invoices for advance processing, the analyzing further comprising:
• generating an invoice score for each of the designated one or more supplier invoices, each invoice score based on at least a supplier score, a buyer score, or a payment schedule of a respective invoice;
• and
• comparing each of the generated invoice scores to an invoice score threshold to identify one or more invoices eligible for advance processing, wherein the one or more eligible invoices have an invoice score that exceeds the invoice score threshold;
• generate an indication identifying the one or more eligible invoices available for advance processing;
• and
• automatically transmit an advance payment to the supplier based on the one or more eligible invoices, wherein the advance payment is transmitted to the supplier responsive to a selection of one or more of the eligible invoices.