Abstract: Aspects of the disclosure relate to performing enhanced exception processing using cognitive automation tools. In some embodiments, a computing platform may receive interaction data identifying one or more actions performed by one or more users in resolving a plurality of exception items associated with an exception queue. Subsequently, the computing platform may train, using a learning engine, a machine learning model to resolve a first exception and a second exception of one or more exceptions based on the interaction data. Based on training the machine learning model, the computing platform may generate one or more configuration commands directing a processing module to implement the machine learning model to process additional exception items associated with the exception queue. The computing platform then may send the one or more configuration commands to the processing module.

Abstract: Aspects of the disclosure relate to performing enhanced exception processing using cognitive automation tools. In some embodiments, a computing platform may receive interaction data identifying one or more actions performed by one or more users in resolving a plurality of exception items associated with an exception queue. Subsequently, the computing platform may train, using a learning engine, a machine learning model to resolve a first exception and a second exception of one or more exceptions based on the interaction data. Based on training the machine learning model, the computing platform may generate one or more configuration commands directing a processing module to implement the machine learning model to process additional exception items associated with the exception queue. The computing platform then may send the one or more configuration commands to the processing module.

Abstract: An image item processing engine for image item exchange may receive an image item data packet including two image items, each including a digital image documenting an action for a recipient institution and associated metadata. The metadata may identify the image item sender and a country associated with an image item, the packet originator, or the recipient institution, at least one country associated with the second image item being different than a country associated with the first image item. The engine may apply sorting rules to determine item types for the first and second image items based on their metadata, determine a recipient institution for the packet based on the item types, assemble a data transfer packet including the digital images and metadata included in the first and second image items, and provide the data transfer packet to a transfer packet routing service for routing to the selected recipient institution.

Abstract: An image item processing engine for image item exchange may receive an image item data packet including two image items, each including a digital image documenting an action for a recipient institution and associated metadata. The metadata may identify the image item sender and a country associated with an image item, the packet originator, or the recipient institution, at least one country associated with the second image item being different than a country associated with the first image item. The engine may apply sorting rules to determine item types for the first and second image items based on their metadata, determine a recipient institution for the packet based on the item types, assemble a data transfer packet including the digital images and metadata included in the first and second image items, and provide the data transfer packet to a transfer packet routing service for routing to the selected recipient institution.

Abstract: Data associated with a payment may be perfected before additional processing. An image file is received during a first time period, and a processor determines, during the first time period, data associated with the image file. The processor automatically determines, during the first time period, one or more exceptions associated with the data by evaluating if the data meets one or more exception rules. The processor performs, during the first time period, one or more data perfection procedures triggered by the one or more exceptions to obtain perfected data. The processor sends, during the first time period, the perfected data to a posting application.

Abstract: A system and method for efficient image cashletter processing where an image cashletter including a plurality of monetary records is received. Failed monetary records in the image cashletter are separated out from good monetary records in the image cashletter. The good monetary records are processed independently of processing the failed monetary records, therefore, allowing the good monetary records to continue to be processed without having to wait for the failed monetary records to be repaired.

Abstract: Data associated with a payment may be perfected before additional processing. An image file is received during a first time period, and a processor determines, during the first time period, data associated with the image file. The processor automatically determines, during the first time period, one or more exceptions associated with the data by evaluating if the data meets one or more exception rules. The processor performs, during the first time period, one or more data perfection procedures triggered by the one or more exceptions to obtain perfected data. The processor sends, during the first time period, the perfected data to a posting application.

Abstract: The present invention provides systems, methods, and computer program products for performing validation and clearance at a transaction item level for transaction received in a batch format. Each transaction of the batch is stored separately in a storage system, such as a logical database. Typically, image data and electronic data for a transaction are stored separately in the storage system and may be linked to each other. Each transaction is separately accessible and/or updateable. Each transaction stored in the storage system is separately analyzed to validate that the transaction is at least balanced. Transactions that determined to be balanced are cleared irrespective of a balance status associated with other transactions associated with the batch of transactions, such that transactions are individually cleared as opposed to being cleared in a batch format.

Abstract: An automated system can be provided for continuously and accurately assigning float to deposit credits within a financial institution. A normalized market segment is continuously assigned to each account by extracting information from a plurality of disparate demand deposit account systems. Deposit credits are gathered from disparate known capture sites and the normalized market segment is assigned to a deposit credit for a corresponding account. A float assignment can then be made for a deposit credit so that the float reflects both a deposit location and current domestic information for the corresponding account. A system for implementing the invention can include a float system connected to a transaction exchange system.

Abstract: A method and system for enhanced check image privacy are disclosed. Embodiments of the present invention provide a way to automatically link the results from quality assurance software to a check image archive to appropriately mark images as unretrievable by customers. Images are interrogated with a data matching algorithm to determine whether a confidence score expressing a likelihood that the image matches associated, stored magnetic ink character recognition (MICR) data is below a pre-set threshold. The image can be then automatically designated in the financial document archive. The image can be displayed to an operator for analysis when the confidence score is above the pre-set threshold and below a pre-set limit, or in cases where the confidence score cannot be determined by the data matching algorithm.

Abstract: Embodiments of the invention relate to apparatuses and methods for providing targeted product offers to customers. For example, in one embodiment, a first entity sends a targeted offer to certain customers. The first entity uses a second entity to perform a service related to the offer, such as an enrollment service. The first entity sends a candidate file to the second entity, where the candidate file includes a list of customers that qualify for the offer. The first entity authenticates the customer and, when the customer expresses interest in the targeted offer, the first entity forwards the customer to the second entity along with customer identifying information so that the second entity can perform the related service. The second entity then verifies whether the transferred customer qualifies for the offer by comparing the customer information to the candidate file. If verified, the second entity can perform the service related to the offer for the customer.

Abstract: The present invention provides systems, methods, and computer program products for performing validation and clearance at a transaction item level for transaction received in a batch format. Each transaction of the batch is stored separately in a storage system, such as a logical database. Typically, image data and electronic data for a transaction are stored separately in the storage system and may be linked to each other. Each transaction is separately accessible and/or updateable. Each transaction stored in the storage system is separately analyzed to validate that the transaction is at least balanced. Transactions that determined to be balanced are cleared irrespective of a balance status associated with other transactions associated with the batch of transactions, such that transactions are individually cleared as opposed to being cleared in a batch format.

Abstract: An automated system can be provided for continuously and accurately assigning float to deposit credits within a financial institution. A normalized market segment is continuously assigned to each account by extracting information from a plurality of disparate demand deposit account systems. Deposit credits are gathered from disparate known capture sites and the normalized market segment is assigned to a deposit credit for a corresponding account. A float assignment can then be made for a deposit credit so that the float reflects both a deposit location and current domestic information for the corresponding account. A system for implementing the invention can include a float system connected to a transaction exchange system.

Abstract: A method and system for enhanced check image privacy are disclosed. Embodiments of the present invention provide a way to automatically link the results from quality assurance software to a check image archive to appropriately mark images as unretrievable by customers. Images are interrogated with a data matching algorithm to determine whether a confidence score expressing a likelihood that the image matches associated, stored magnetic ink character recognition (MICR) data is below a pre-set threshold. The image can be then automatically designated in the financial document archive. The image can be displayed to an operator for analysis when the confidence score is above the pre-set threshold and below a pre-set limit, or in cases where the confidence score cannot be determined by the data matching algorithm.