Invoice payment authorization platform

A method for streamlined processing computer-generated invoices in a retail supply chain, the method comprising:

• receiving a first computer-generated invoice and a plurality of computer-generated transactions related to shipping charges at a rate API of an invoice management software platform;
• accessing a set of models and rules stored in an audit database;
• performing a system rate check at the rate API of the plurality of computer-generated transactions related to shipping charges against the models and rules stored in the audit database to generate a system rate check output;
• receiving a plurality of computer-generated transactions related to inventory movements at a load API of the invoice management software platform;
• performing a system event check at the load API to generate a system event check output of the plurality of computer-generated transactions related to inventory movements against the models and rules stored in the audit database;
• sending the system rate check and the system event check output to an automated invoice processing API;
• generating a result at the automated invoice processing API, the result corresponding to at least one of automated payment of the first computer-generated invoice or manual review of the first computer-generated invoice based on an indication that the system rate check output and the system event check output are within the set of models and rules stored in the audit database.

An automated invoice payment API of a retail enterprise, the automated invoice payment API comprising:

• at least one computing system including a processor and a memory storing instructions which, when executed, cause the at least one computing system to send and receive messages between a plurality of shippers and the retail enterprise;
• an API core configured to receive a first computer-generated invoice, a plurality of computer-generated transactions related to shipping charges, and a plurality of computer-generated transactions related to inventory movements;
• and
• a machine learning module configured to determine the probability indicative of the level of risk based on a set of training data, a system rate check output from a rate API, and a system event check output from a load API.