USER INTERFACE STATE MACHINE FOR TASK UNITS
    6.
    发明公开

    公开(公告)号:US20240070577A1

    公开(公告)日:2024-02-29

    申请号:US17823850

    申请日:2022-08-31

    CPC classification number: G06Q10/063114 G06Q10/06316

    Abstract: The online concierge system generates task units based on orders and assigns batches of task units to pickers. The online concierge system generates task units based on received orders. The online concierge system generates permutations of these task units to generate candidate sets of task batches. The online concierge system scores each of these candidate sets, and selects a set of task batches to assign to pickers based on the scores. Additionally, to determine which task UI to display to the picker, the picker client device uses a UI state machine. The UI state machine is a state machine where each state corresponds to a task UI to display on the picker client device. The state transitions between the UI states of the UI state machine indicate which UI state to transition to from a current UI state based on the next task unit in the received task batch.

    REPLACING AN UNAVAILABLE ITEM IN AN ORDER USING A TRAINED OUTCOME PREDICTION MODEL

    公开(公告)号:US20250124485A1

    公开(公告)日:2025-04-17

    申请号:US18485797

    申请日:2023-10-12

    Applicant: Maplebear Inc.

    Abstract: An online system receives orders from users and dispatches pickers to fulfill the orders by obtaining ordered items at a retailer. If an ordered item cannot be found by a picker, the picker may refund the item or attempt to find a replacement item. While obtaining a replacement item may increase revenue to the online system, it can also cause a bad outcome for user experience (e.g., an unacceptable replacement item, a refund request of the replacement item, etc.). To balance these interests, the online system trains a model to predict an outcome metric comprising a likelihood of a bad outcome from replacing an item or an expected amount of profit to the online system from a replacement item. The online system compares the outcome metric to a threshold to determine whether to promote or dissuade the picker from replacing a not-found item.

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