SELECTIVELY PROVIDING MACHINE LEARNING MODEL-BASED SERVICES

    公开(公告)号:US20240070605A1

    公开(公告)日:2024-02-29

    申请号:US17897045

    申请日:2022-08-26

    CPC classification number: G06Q10/0838 G06N5/022 G06Q10/06393 G06Q30/0617

    Abstract: An online concierge system provides arrival prediction services for a user placing an order to be retrieved by a shopper. An order may have a predicted arrival time predicted by a model that may err under some conditions. To reduce the likelihood of providing the predicted arrival time (and related services) when the arrival time may be incorrect, the prediction model and related services are throttled (e.g., selectively provided) based on one or more predicted delivery metrics, which may include a time to accept the order by a shopper and a predicted portion of late orders that will be delivered past the respective predicted arrival times. The predicted delivery metrics are compared with thresholds and the result of the comparison used to selectively provide, or not provide, the predicted delivery services.

    Using Computer Models to Predict Delivery Times for an Order During Creation of the Order

    公开(公告)号:US20250104003A1

    公开(公告)日:2025-03-27

    申请号:US18475766

    申请日:2023-09-27

    Applicant: Maplebear Inc.

    Abstract: One or more trained computer models are used to determine, at different stages of an order, an estimated time range for delivery of the order at an online system. The online system retrieves a set of candidate ranges of delivery times for the order. The online system applies the one or more computer models trained to predict a value of a metric for each candidate range in the set of candidate ranges, based on one or more features associated with the order. The online system selects a range of delivery times for the order from the set of candidate ranges, based on the predicted value of the metric for each candidate range. The online system causes a device of the user to display a user interface with the selected range of delivery times for the order.

    Generating a range of estimated fulfillment times for an order based on characteristics of an order

    公开(公告)号:US12033109B1

    公开(公告)日:2024-07-09

    申请号:US18114858

    申请日:2023-02-27

    Applicant: Maplebear Inc.

    CPC classification number: G06Q10/0835 G06Q10/0833

    Abstract: An online concierge system delivers items from retailers to customers. The online concierge predicts a range of times during which an order may be fulfilled for presentation to a user. The online concierge system uses a trained maximum time prediction model to determine a maximum time for order fulfillment based on an order. A trained minimum time prediction model determines a minimum time for order fulfillment from the order and the maximum time. The minimum time may account for one or more rules (e.g., a percentage of orders fulfilled before the minimum time, a desired rate of selection of a range including the minimum time). A range bounded by the maximum time and the minimum time is transmitted to a customer to enable the customer to select a time interval for order fulfillment.

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