The Toronto-Dominion Bank

Kamana Tripathi

John Jong-Suk Lee

Milos Dunjic

Arun Victor Jagga

David Samuel Tax

Arthur Carroll Chow

Kushank Rastogi

Robert Kyle Miller

Armon Rouhani

Rajeev Kumar Gandhi

Maryam Karbasi

The present disclosure involves systems, software, and computer implemented methods for a remittance system that pre-populates remittance data based on historical usage of remittance transactions. One example system includes operations to generate, using a predictive model, data indicating a predicted likelihood of a user selecting at least one data exchange transaction, wherein the data indicates the predicted likelihood of the user performing the at least one data exchange transaction. A request is received to access a remittance page. In response, the at least one data exchange transaction that was previously generated is selected from a repository of predicted likelihoods. Remittance data associated with a UI element is generated that includes the at least one data exchange transaction. The remittance data is transmitted to the device. An indication from the device is received for interacting with the UI element. The data exchange transaction is executed in response to receiving the indication.

Adaptive remittance learning

Growing community of inventors

Toronto, Canada

Kamana Tripathi