-
公开(公告)号：US11763224B2
公开(公告)日：2023-09-19
申请号：US17140518
申请日：2021-01-04
Applicant: BANK OF AMERICA CORPORATION
Inventor： Joseph Benjamin Castinado , Kapil Chhibber
IPC: G06Q10/0631 , G06N20/00
CPC classification number: G06Q10/06315 , G06N20/00
Abstract: 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.
-
公开(公告)号：US11321127B2
公开(公告)日：2022-05-03
申请号：US16414161
申请日：2019-05-16
Applicant: Bank of America Corporation
IPC: G06F9/46 , G06F9/50 , G06N20/00 , G06F16/909 , G06F16/9035
Abstract: 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.
-
Patent Agency Ranking
公开(公告)号：US12271831B2
公开(公告)日：2025-04-08
申请号：US17339686
申请日：2021-06-04
Applicant: Bank of America Corporation
Inventor： Pratap Dande , Vijaya L Vemireddy , Brandon Sloane , Jinna Z Kim , Kapil Chhibber , Robert Nyeland Huggins
Abstract: 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.
-
公开(公告)号：US20220391720A1
公开(公告)日：2022-12-08
申请号：US17339686
申请日：2021-06-04
Applicant: Bank of America Corporation
Inventor： Pratap Dande , Vijaya L. Vemireddy , Brandon Sloane , Jinna Z. Kim , Kapil Chhibber , Robert Nyeland Huggins
Abstract: 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.
-
公开(公告)号：US20220245606A1
公开(公告)日：2022-08-04
申请号：US17163262
申请日：2021-01-29
Applicant: BANK OF AMERICA CORPORATION
Inventor： Sandeep Kumar Chauhan , Joseph Benjamin Castinado , Kapil Chhibber , Naoll Addisu Merdassa , Ann Ta , Kathleen Hanko Trombley
Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for adaptive dynamic multi-directional resource transmissions. The invention is structured for dynamically authenticating an activity between network devices, identifying resource deficiencies associated with network devices, and deploying adapted mitigation resources at one or more network devices in real-time, and without requiring discontinuation of the activity. Specifically, the invention is structured to determine a first resource deficiency associated with the first resource. In response, the system is structured to transmit a first adapted mitigation resource of the one or more adapted mitigation resources to the first resource in a transmission direction, triggering transmission of a first resource quantity from the first resource to an entity resource on another transmission direction.
-
公开(公告)号：US20220215313A1
公开(公告)日：2022-07-07
申请号：US17140518
申请日：2021-01-04
Applicant: BANK OF AMERICA CORPORATION
Inventor： Joseph Benjamin Castinado , Kapil Chhibber
Abstract: 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.
-
公开(公告)号：US10802886B1
公开(公告)日：2020-10-13
申请号：US16414141
申请日：2019-05-16
Applicant: Bank of America Corporation
IPC: G06F15/16 , G06F9/50 , G06N20/00 , G06F16/9035
Abstract: 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.
-
-
-
-
-
-
Search Results
7
records
(took 0.013 seconds)
