Truist Bank

Branch Banking and Trust Company

Jason Pedone

Sudhakar Swaminathan

Raghavendra P Narasimhan

Satya Acharya

Sathiyasuresh Pandian

Brandon Stone

Ejaz Ahmed Syed

Chris Bishop

Randy Lee Cramp

Venkat Praveen Reddy Muthannagari

A system can receive a request to access objects of an entity. The system can access historical data relating to the entity. The system can determine weights corresponding to the objects. The system can determine weights corresponding to the objects based on a number of times a corresponding object has been used by the entity over a predetermined time period, a most recent use of the corresponding object, and an interaction type for which the corresponding object has been most used over the predetermined time period. The system can generate a sorted list by applying the weights. The system can provide a user interface to the user device that presents a first object in a first location and a second object in a second location that is different than the first location based on respective weights of the first object and the second object.

Object sorted list based on historical entity interactions

A system and a method for remotely controlling a user device function include: a computing system having a processor executing computer-readable instructions stored in a storage device; a network connection operatively connecting multiple user devices to the computing system; and wherein the computing system executes the instructions to perform, for each of the user devices, steps comprising: sending an application code to the user device, the code including multiple code portions each associated with a function performed by the user device upon execution of the associated code portion; sending a data set to the user device including multiple settings stored by the user device, each of the settings associated with one of the code portions; and sending a toggle signal to the user device remotely causing the user device to update one of the stored settings thereby enabling or disabling the function associated with the one stored setting.

Remotely controlling a user device function

A server can be configured for facilitating notifications about interaction opportunities for users using database relationships of separate types of data from different systems. The server can determine a location of a mobile computing device using geolocation data associated with an application executable on the mobile computing device. The server can determine interaction opportunities (i) for which a user of the mobile computing device qualifies based on financial account interaction data associated with user and criteria associated with the interaction opportunities and (ii) that are associated with locations within a pre-selected distance of the location. Determining the interaction opportunities can include mapping information from an interaction history of a user of the mobile computing device to available interaction opportunities. The server can transmit the interaction opportunities to the mobile computing device for output by the application.

Geolocation-based notifications using relationships in separate systems

A system can determine that an entity is proximate to an interaction location based on a first location of an entity device associated with the entity. The system can cache historical interaction data related to the entity and the interaction location in a processor device. The system can generate an interaction recommendation for the entity relating to the interaction location based on the historical interaction data and predetermined interaction instructions. The system can control a pending interaction related to the entity and the interaction location on the entity device based on the interaction recommendation.

Cache optimization and interaction control based on location and historical interactions

A system can include a first financial account data system that may include first account data. The first financial account data system can perform a function according to a first process using the first account data. The system can include a second financial account data system that can include second account data that is unintegrated with the first account data. The second financial account data system can perform a function according to a second process, which can be different than the first process, using the second account data. The system can include a server with an application programming interface. The server can determine a data system among the first and second financial account data systems with which to execute a requested function received via a common user interface. The server can execute the requested function. The server can provide a result of the execution via the common user interface.

Application programming interface for providing common user interface access to data from separate systems

A system can determine that an entity is proximate to an interaction location based on a first location of an entity device associated with the entity. The system can cache historical interaction data in a processor device selected dynamically from the one or more processor devices. The historical interaction data can include data related to previously executed interactions that involve the entity and the interaction location during a predetermined period. The system can execute interaction instructions to generate an interaction recommendation relating to the interaction location by using the historical interaction data. The interaction instructions can be predetermined by the entity. The system can transmit the interaction recommendation to the entity device. The system can clear the cached historical interaction data from the processor device in response to determining that the entity is not proximate to the interaction location based on a second location of the entity device.

A server can include an application programming interface that can determine a data system, among a first financial account data system and a second financial account data system, with which to execute a requested function received via a common user interface. The requested function can be caused to be executed using the data system and the first process or the second process. The operations also include providing a result from execution of the requested function to be outputted for display via the common user interface. The common user interface can provide integrated labeling for receiving data to allow requested functions to be executed using different processes associated with the first financial account data system and the second financial account data system using the integrated labeling.

A server can be configured for facilitating notifications about interaction opportunities for users using database relationships of separate types of data from different systems. The server can receive token data from an application executing on a mobile computing device. The token data can include geolocation data of the mobile computing device and identification data of the user. The server can determine a location of the mobile computing device using the geolocation data. The server can use the identification data of the user to receive interaction opportunities based on the identification data and criteria associated with the interaction opportunities. The server can use the identification data to receive interaction opportunities that are associated with locations within a pre-selected distance of the location of the mobile computing device. The server can transmit the interaction opportunities to the mobile computing device for output by the application.

A system can receive a predetermined entity preference from an entity device. The entity device can be associated with the entity. The system can receive a first location indicating that the entity is proximate to an interaction location from the entity device. The system can access historical interaction data of the entity related to an interaction location during a predetermined period. The system can cache the historical interaction data in a processor device dynamically selected based on computing capacity. The system can generate an interaction recommendation by executing the interaction instructions and by using the historical interaction data. The system can receive a second location indicating that the entity is not proximate to the interaction location. The system can clear the cached historical interaction data from the processor device, in response to determining that the entity is not proximate to the interaction location.

The present disclosure describes systems and methods for managing and implementing an asset license reclamation program across a network. The status of an asset, such as computer software, is automatically determined and if the asset does not meet particular use criteria, the asset may be flagged for reclamation and/or redeployment, either within the same network segment or in a separate network segment.

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Raleigh, NC, United States of America

Jason Pedone