Bank of America Corporation

Bank of America Cororation

Kapil Chhibber

Joseph Benjamin Castinado

John Allen Sellers

Catherine Ann Crepps

Brandon Sloane

Pratap Dande

Jinna Zevulun Kim

Vijaya L Vemireddy

Robert Nyeland Huggins

According to certain embodiments, a routing system comprises a memory operable to store historical data associated with a plurality of previous data processing transactions and a processor operably coupled to a network interface and the memory. The processor is configured to obtain the historical data associated with the plurality of previous data processing transactions transacted using a first routing between a first computing system and a second computing system and determine a pattern based on the historical data, the pattern determined based on machine learning. The processor is further configured to associate the pattern with a second routing between the first computing system and the second computing system, determine an upcoming data processing transaction corresponding to the pattern, and use the second routing to transact the upcoming data processing transaction.

Routing a data processing transaction based on machine learning

Embodiments of the invention are directed to systems, methods, and computer program products for utilizing machine learning to calculate product replacement cycle times and predict resource transfers associated with said product replacements. As such, the system allows for receipt of resource transfer datasets which are processed along with historical datasets via a machine learning engine. The system may then identify data trends and generate predictions of future resource transfers associated with product or service lifecycles. Furthermore, the system may also identify potential merchants or other third-party systems which may be associated with the predicted future transfers.

System for predictive product replacement cycling

A system for multi-faceted resource aggregation and deployment is provided, the system comprising: a memory device with computer-readable program code stored thereon; a communication device connected to a network; and a processing device, wherein the processing device is configured to execute the computer-readable program code to: generate a user profile comprising historical user interaction data associated with a user; establish a connection to a resource location associated with the user; identify an existing resource associated with the resource location; determine an additional resource based on identifying the existing resource, wherein the additional resource is complementary to the existing resource; aggregate the existing resource and the additional resource into a multivariable resource collection; and configure a resource deployment based on the multivariable resource collection and the user profile, wherein the resource deployment is configured to complete a multi-faceted interaction using a combination of the multivariable resource collection.

Network engine for intelligent multi-faceted resource analysis

A system for resource aggregation and deployment is provided. The system comprises: a memory device with computer-readable program code stored thereon; a communication device connected to a network; and a processing device, wherein the processing device is configured to execute the computer-readable program code to: generate a user profile comprising historical user interaction data associated with a user; establish a connection to a resource location associated with the user; identify an existing resource associated with the resource location; determine an additional resource based on identifying the existing resource, wherein the additional resource is complementary to the existing resource; aggregate the existing resource and the additional resource; and configure a resource deployment based on the existing resource, the additional resource, and the user profile, wherein the resource deployment is configured to complete an interaction.

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Davis, CA, United States of America

Kapil Chhibber