Dynamic resource management associated with payment instrument exceptions processing

A computer program product for document exception processing, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising:

• an executable portion configured for receiving an indication of a user transaction, wherein receiving an indication of the user transaction comprises extraction of a copy of documents associated with the user transaction via a mobile device, wherein the copy of documents comprises at least one image captured by the mobile device;
• an executable portion configured for identifying data from the documents, wherein the data from the documents is extracted from the documents using optical character recognition and the data is stored, wherein identifying data from the documents associated with the user transaction further comprises capturing via optical character recognition, images of various elements of the documents, wherein the various elements are unique to the documents, wherein the identified data is stored as metadata;
• an executable portion configured for identifying and categorizing exceptions in the documents that are being processed, wherein identifying and categorizing exceptions in the documents comprise sending the document to work flow node for exception processing;
• an executable portion configured for searching, based on the data from the documents, accounts to determine an amount and a record associated with the documents for exception processing for correction of the exception;
• an executable portion configured for matching, systematically, an appropriate account from the searched accounts to the documents comprising exceptions, wherein the match is based on a comparison between extracted data from the document comprising exceptions to known data associated with accounts, wherein the documents are financial documents, wherein the match is based on the comparison between extracted data from the financial document comprising exceptions to known data associated with financial accounts;
• determine a confidence of correction for the systematic matching;
• an executable portion configured for identifying bottlenecks in the exception processing via monitor work flow of resources for exception processing;
• an executable portion configured for determining resource experience and error rate for each of one or more different exception types;
• an executable portion configured for matching an appropriate resource with the identified and categorized exception based on the resource experience, resource scarcity, and resource error rate for the category of exception;
• an executable portion configured for replacing the exception, upon resource correction of exception, and allow the documents comprising the exception to be processed;
• and
• superimpose gamification and reward data on a display for the resource such that exception processing is performed by the resource via the display, wherein gamification comprises superimposing performance based race system for comparison of productivity of resource relative to exemplary resource in real-time.

A computer-implemented method for document exception processing, the method comprising:

• providing a computing system comprising a computer processing device and a non-transitory computer readable medium, where the computer readable medium comprises configured computer program instruction code, such that when said instruction code is operated by said computer processing device, said computer processing device performs the following operations:
• receiving an indication of a user transaction, wherein receiving an indication of the user transaction comprises extraction of a copy of documents associated with the user transaction via a mobile device, wherein the copy of documents comprises at least one image captured by the mobile device;
• identifying data from the documents, wherein the data from the documents is extracted from the documents using optical character recognition and the data is stored, wherein identifying data from the documents associated with the user transaction further comprises capturing via optical character recognition, images of various elements of the documents, wherein the various elements are unique to the documents, wherein the identified data is stored as metadata;
• identifying and categorizing exceptions in the documents that are being processed, wherein identifying and categorizing exceptions in the documents comprise sending the document to work flow node for exception processing;
• searching, based on the data from the documents, accounts to determine an amount and a record associated with the documents for exception processing for correction of the exception;
• matching, systematically, an appropriate account from the searched accounts to the documents comprising exceptions, wherein the match is based on a comparison between extracted data from the document comprising exceptions to known data associated with accounts, wherein the documents are financial documents, wherein the matching is based on the comparison between extracted data from the financial document comprising exceptions to known data associated with financial accounts;
• determining a confidence of correction for the systematic matching;
• identifying bottlenecks in the exception processing via monitor work flow of resources for exception processing;
• determining resource experience and error rate for each of one or more different exception types;
• matching an appropriate resource with the identified and categorized exception based on the resource experience, resource scarcity, and resource error rate for the category of exception;
• replacing the exception, upon resource correction of exception, and allow the documents comprising the exception to be processed;
• and
• superimposing gamification and reward data on a display for the resource such that exception processing is performed by the resource via the display, wherein gamification comprises superimposing performance based race system for comparison of productivity of resource relative to exemplary resource in real-time.