18380780. Real Time Channel Affinity Derivation (BANK OF AMERICA CORPORATION)
Real Time Channel Affinity Derivation
Organization Name
Inventor(s)
Nipun Mahajan of Lawrenceville NJ US
Yogesh Raghuvanshi of Princeton NJ US
Ayela Chughtai of New York NY US
Real Time Channel Affinity Derivation
This abstract first appeared for US patent application 18380780 titled 'Real Time Channel Affinity Derivation
Original Abstract Submitted
Systems and methods are disclosed for real time, frictionless channel switching to map and transpose a transaction on a preferred channel from an incoming channel. The systems and methods may use a machine learning model that processes features from a plurality of channels to determine the preferred channel. An omni channel processor is used to determine intended functionality data of the transaction for the preferred channel. The systems and methods may generate transposed intent data based on the intended functionality data of the transaction for the preferred channel. A deep link is generated and embedded with the transposed intent data and a channel access token for the transaction on the preferred channel. The deep link is configured to access and complete the requested transaction on the preferred channel.