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Data lifting for exception processing

  • US 9,639,750 B2
  • Filed: 02/29/2016
  • Issued: 05/02/2017
  • Est. Priority Date: 10/29/2013
  • Status: Active Grant
First Claim
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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 one or more 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 metadata for the financial document 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 a user based on the metadata, wherein the financial accounts are identified by comparing the metadata that is not associated with the exception to the financial institution records to generate the known data;

    compare the exceptions identified in the metadata associated with 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;

    identify one or more resolutions associated with the identified exception, wherein identifying one or more resolutions further comprises comparing the extracted metadata with data associated with either financial institution records or financial accounts of the user andcorrecting, automatically, the identified exceptions in the financial documents based on the one or more resolutions.

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