Data lifting for exception processing

摘要

Embodiments of the invention include systems, methods, and computer-program products for lifting metadata from financial documents to allow for automated exception processing. As such, allowing for automated decisions for exception processing to systematically be resolved base on matches between lifted metadata. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stork, or misrepresentative checks that may result in a failure to match the check to an associated account for processing. As such, once an exception is identified during the processing the metadata lifted from the document with the exception may be utilized to search financial records at the financial institution to attempt to identify the correct version of the document. Subsequently, the system may correct the irregularity systematically and automatically.

主权项

1. A system for exception processing of financial documents, the system comprising:
a memory device with computer-readable program code stored thereon; a communication device; a processing device operatively coupled to the memory device and the communication device, wherein the processing device is configured to execute the computer-readable program code to:
receive an indication of a user transaction, wherein receiving an indication of the user transaction comprises receiving a copy of the financial documents associated with the user transaction for processing;identify data from the financial document, wherein the data from the financial document is extracted from the financial document using optical character recognition and the data is stored as metadata;process the financial document by identifying exceptions in the financial documents being processed, wherein identifying exceptions further comprises identifying a type of financial document as a credit document or a debit document;determine known data associated with financial accounts of user based on the metadata, wherein the financial accounts are identified by comparing the metadata not associated with the exception to financial institution records to generate the known data;compare the exceptions identified from the extracted metadata from the financial document to the known data associated with the financial accounts of the user;match an appropriate financial account to the financial document comprising exceptions, wherein the match is based on the comparison between the extracted metadata from the financial document comprising exceptions to the known data associated with financial accounts;replace the exception by identifying one or more resolutions associated with the identified exceptions in the financial documents, wherein identifying one or more resolutions further comprises comparing the extracted metadata with data associated with financial institution records and correcting, automatically, the identified exceptions in the financial documents based on the one or more resolutions.