ADAPTIVE REMITTANCE LEARNING
    1.
    发明申请

    公开(公告)号:US20200097955A1

    公开(公告)日:2020-03-26

    申请号:US16142825

    申请日:2018-09-26

    IPC分类号: G06Q20/38 G06N99/00

    摘要: 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
    9.
    发明申请

    公开(公告)号:US20210326860A1

    公开(公告)日:2021-10-21

    申请号:US17365753

    申请日:2021-07-01

    IPC分类号: G06Q20/38 G06N20/00

    摘要: 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
    10.
    发明授权

    公开(公告)号:US11087314B2

    公开(公告)日:2021-08-10

    申请号:US16142825

    申请日:2018-09-26

    IPC分类号: G06Q40/00 G06Q20/38 G06N20/00

    摘要: 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.