Bank of America Corporation

James F Barrett, Ii

Joshua Allen Beaudry

Eric Dryer

Michael Gerald Smith

Shawn Cart Gunsolley

Michael Matthew Wisser

Marshall Bright Thompson

Andrew Patrick Bastnagel

Kerry Michelle Cantley

Geoffrey Reed Williams

Timmy Leo Gauvin

Deborah N Bennett

James Gregory Ronca

Eric Scott Sandoz

Leslie LaRock

Eric S Sandoz, Ii

Embodiments of the invention include systems, methods, and computer-program products for dynamic resource management for managing payment exception processing and maximize work flow. In this way, the system may lift data from financial documents received from sources to allow for exception processing. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stock, or misrepresentative checks that may result in a failure to match the check to an associated account for processing.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 exception is directed to an appropriate resource for processing. The system monitors work flow nodes and resource experience to prevent bottlenecks or underutilization. Furthermore, the system employs awards and gamification models for exception processing.

Dynamic resource management associated with payment instrument exceptions processing

Embodiments of the invention include systems, methods, and computer-program products for predictive determination and resolution of an exception located on a negotiable instrument. The exception may be an indicia that includes data related to the payor, payment accounts, or payee. An indicia may not be identified successfully and thus be queued for exception processing. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stock, or misrepresentative indicia points on a negotiable instrument that may result in a failure to match the check to an account for processing. Upon identifying an exception, the system retrieves historical transaction data associated with the resolved indicia. Subsequently, utilizing the resolved indicia, the system may determine a value for the exception identified based on the retrieved historical transaction data. Finally, the determined value may be stored with the negotiable instrument to complete the payment reconciliation process.

Predictive determination and resolution of a value of indicia located in a negotiable instrument electronic image

Embodiments of the invention monitor node usage in a transaction processing system. Embodiments include accessing a dynamic mapping of transaction flow in the transaction processing system, the dynamic mapping including a plurality of transaction pathways interconnected by transaction nodes, wherein the transaction nodes represent an automated processing step or action taken by a manual station of the transaction processing system on transactions files that are received at the transaction nodes; wherein the transaction processing system processes a transaction file at a first node and stores information corresponding to the first node and the type of processing that occurred at the first node with the transaction file; determining that the transaction file was processed at the first node; accessing the transaction file to determine the type of processing that occurred at the first node; and performing an action related to the type of processing that occurred at the first node.

Monitoring module usage in a data processing system

Disclosed are systems, methods, and computer program products that provide for element level presentation of elements of a payment instrument for exceptions processing. More specifically, the invention involves identifying an exception element from an image of a financial document, determining the location of the exception element based on its coordinates within the image of the financial document, and providing a zoomed-in view of the exception element to the user along with information and resources to allow a user to conveniently conduct accurate analysis of the exception element. The system then receives a correct element from the user to replace the exception element, and then processes the financial document using the replaced correct element instead of the exception element.

Element level presentation of elements of a payment instrument for exceptions processing

Apparatus, methods and media for deriving a transaction record based on handwritten check content. The apparatus may include, and the methods and media may involve, a receiver device that is configured to receive a check image. The apparatus may include, and the methods and media may involve, a processor device. The processor device may be configured to define a check segment within the check image; translate content from the segment from handwriting to estimated block text; and store the block text in a transaction record in machine readable memory. The apparatus may include, and the methods and media may involve, a transmitter that is configured to transmit the block text to a financial institution product engine.

Image check content estimation and use

Apparatus, methods and media for correcting a defective check processing datum. The apparatus may include, and the methods and media may involve, a receiver that is configured to receive from memory a first transaction record. The transaction record may include Magnetic Ink Character Recognition (MICR) line data. The MICR line data may be electronically read from a check. The transaction record may include non-MICR data. The non-MICR data may be electronically read from the check. The apparatus may include, and the methods and media may involve, a processor that is configured to identify a defective datum among the MICR line data. The processor may identify a portion of the non-MICR data that corresponds to the defective datum. The processor may store in memory a second transaction record. The second transaction record may include corrected data that includes an element that is derived from the identified portion of the non-MICR data.

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Morristown, NJ, United States of America

James F Barrett, Ii