CPC G06Q 20/40 (2013.01) [G06Q 20/0425 (2013.01)] | 15 Claims |
1. A system for providing alert management and real-time remediation, the system comprising:
one or more hardware processors; and
a non-transitory machine-readable storage medium encoded with instructions executable by the one or more hardware processors to perform operations comprising:
obtaining an electronic file, wherein the electronic file includes a cashier's check data structure comprising cashier's check information for one or more cashier's checks presented at a first institution and one or more images of the one or more cashier's checks;
responsive to obtaining the cashier's check information, automatically parsing the cashier's check information into one or more cashier's check events according to routing numbers in the cashier's check information;
obtaining, from the one or more images of the one or more cashier's checks, the routing number, the account number, and the amounts of the one or more cashier's checks using a trained machine learning model that has been trained with a first training set comprising first historical correspondences between first images of historical cashier's checks and first historical routing numbers, account numbers, and amounts using at least one of supervised and unsupervised training;
for at least one second institution identified by one of the routing numbers:
sending an electronic verification request message to the at least one second institution wherein the electronic verification request message includes an account number and an amount of the corresponding cashier's check,
receiving an electronic verification response message responsive to the electronic verification request message,
determining based on the electronic verification response message, whether the cashier's check has been verified, and
sending an electronic response message to the first institution to cause a computer at the first institution to provide a first user interface comprising a first display element that indicates whether the cashier's check has been verified; and
causing the trained machine learning model to be retrained with a second training set comprising first historical correspondences between second images of historical cashier's checks and second historical routing numbers, account numbers, and amounts using at least one of supervised and unsupervised training methods.
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