USING A PREDICTIVE REQUEST MODEL TO OPTIMIZE PROVIDER RESOURCES

    公开(公告)号:US20240127697A1

    公开(公告)日:2024-04-18

    申请号:US18396134

    申请日:2023-12-26

    Applicant: Lyft, Inc.

    Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

    USING A PREDICTIVE REQUEST MODEL TO OPTIMIZE PROVIDER RESOURCES

    公开(公告)号:US20220358844A1

    公开(公告)日:2022-11-10

    申请号:US17808238

    申请日:2022-06-22

    Applicant: Lyft, Inc.

    Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

    Using a predictive request model to optimize provider resources

    公开(公告)号:US11386789B1

    公开(公告)日:2022-07-12

    申请号:US15809618

    申请日:2017-11-10

    Applicant: Lyft, Inc.

    Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

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