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.

Inventor： Shuai Wang ,  Zi Wang ,  Liang Chen ,  Aman Jain ,  Xiangyu Wang ,  Jian Wang

IPC: G06Q10/0834 ,  G06Q30/0601

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.

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.

Inventor： Shuai Wang ,  Zi Wang ,  Liang Chen ,  Houtao Deng ,  Xiangyu Wang ,  Aman Jain ,  Jian Wang

IPC: G06Q10/0835 ,  G06Q10/0833

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.

公开(公告)号：US20240403812A1

公开(公告)日：2024-12-05

申请号：US18203578

申请日：2023-05-30

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Liang Chen ,  Xiangyu Wang ,  Houtao Deng ,  Ganesh Krishnan ,  Kevin Charles Ryan ,  Aman Jain ,  Jian Wang

IPC: G06Q10/0834 ,  G06Q10/083 ,  G06Q10/0833 ,  G06Q30/0601

Abstract: An online concierge system generates a set of candidate estimated times of arrival (ETAs) for delivery of a set of items being purchased by a user. Each candidate ETA is scored by using a machine-learned model to estimate values for different criteria of interest, such as likelihood of acceptance of the ETA, cost of delivery of the items to the user, and the like. The values for the different criteria may be combined to generate the overall score for a candidate ETA. One or more of the highest-scoring ETAs are selected and provided to the user, who may then approve one of the ETAs for use with delivery of the user's set of items.

公开(公告)号：US20240144355A1

公开(公告)日：2024-05-02

申请号：US17977712

申请日：2022-10-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Liang Chen ,  Aman Jain ,  Xiangyu Wang ,  Houtao Deng ,  Jae Cho

IPC: G06Q30/06 ,  G06Q30/02

CPC classification number: G06Q30/0641 ,  G06Q30/0201 ,  G06Q30/0607

Abstract: The present disclosure is directed to selecting order checkout options. In particular, the methods and systems of the present disclosure may, responsive to receiving data describing a potential order for an online shopping concierge platform: generate, based at least in part on the data describing the potential order, a plurality of different and distinct checkout options for the potential order; determine, for each checkout option of the plurality of different and distinct checkout options and based at least in part on one or more machine learning (ML) models, a probability that a customer associated with the potential order will proceed with the potential order if presented with the checkout option; and select a subset of checkout options for presentation to the customer based on their respective determined probabilities that the customer will proceed with the potential order if presented with the subset of checkout options.