Electronic data verification routing using artificial intelligence

A non-transitory computer-readable medium having a set of instructions that, when executed by a processor, cause the processor to perform operations for routing verification requests in electronic verification systems using a trained machine-learning computer model to improve routing efficiency across networked computing environments, the operations comprising:

• receiving, from a computing device, a new request to verify data via at least one service provider computer of a set of service provider computers;
• executing the trained machine-learning computer model to predict a service provider computer from the set of service provider computers to which the new request should be transmitted,
• wherein the trained machine-learning computer model has been trained using a training dataset generated by monitoring historical operation of a request routing processor configured to receive verification requests and route the verification requests to service provider computers, and
• wherein the training dataset comprises, for each of a plurality of historical verification requests, data associated with that historical verification request, a likelihood of verification success generated by execution of a first computer model, a score associated with at least one service provider computer generated by execution of an artificial intelligence computer model, and a routing selection to at least one service provider computer based on the score and the likelihood of verification success;
• and
• transmitting, via an application programming interface, the new request to the predicted service provider computer.

A computer system for routing verification requests in electronic verification systems using a trained machine-learning computer model to improve routing efficiency across networked computing environments, the computer system comprising:

• a processor;
• and
• a non-transitory computer-readable medium having a set of instructions that, when executed by the processor, cause the processor to:
• receive, from a computing device, a new request to verify data via at least one service provider computer of a set of service provider computers;
• execute the trained machine-learning computer model to predict a service provider computer from the set of service provider computers to which the new request should be transmitted,
• wherein the trained machine-learning computer model has been trained using a training dataset generated by monitoring historical operation of a request routing processor configured to receive verification requests and route the verification requests to service provider computers, and
• wherein the training dataset comprises, for each of a plurality of historical verification requests, data associated with that historical verification request, a likelihood of verification success generated by execution of a first computer model, a score associated with at least one service provider computer generated by execution of an artificial intelligence computer model, and a routing selection to at least one service provider computer based on the score and the likelihood of verification success;
• and
• transmit, via an application programming interface, the new request to the predicted service provider computer.