公开(公告)号：US20240144191A1

公开(公告)日：2024-05-02

申请号：US17977759

申请日：2022-10-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Ganesh Krishnan ,  Xiaofan Xu ,  Kevin Ryan

IPC: G06Q10/10

CPC classification number: G06Q10/1093

Abstract: An online concierge system receives a goal and availability information for a picker, in which the availability information describes time slot-location pairs for which the picker is available. The system accesses and applies a first and a second machine learning model to predict a likelihood that an order will be available for service and an amount of earnings for servicing the order, respectively, for each time slot-location pair. The system computes an estimated amount of earnings for each time slot-location pair based on the predictions and generates suggested schedules that each includes one or more time slot-location pairs. For each suggested schedule, the system computes a total estimated amount of earnings based on the estimated amount of earnings and one or more costs. The system identifies a suggested schedule for achieving the goal based on the total estimated amount of earnings or an estimated amount of time included in the suggested schedule.

公开(公告)号：US11854065B2

公开(公告)日：2023-12-26

申请号：US17238217

申请日：2021-04-23

Applicant: Maplebear, Inc.

Inventor： Amy Luong ,  Michael Righi ,  Graham Adeson ,  Ross Stuart Williams ,  Aman Jain ,  Radhika Anand ,  Ganesh Krishnan

IPC: G06Q30/00 ,  G06Q30/0601

CPC classification number: G06Q30/0635 ,  G06Q30/0639 ,  G06Q30/0641

Abstract: For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.

公开(公告)号：US11830018B2

公开(公告)日：2023-11-28

申请号：US17389281

申请日：2021-07-29

Applicant: Maplebear Inc.

Inventor： Houtao Deng ,  Ji Chen ,  Zi Wang ,  Soren Zeliger ,  Ganesh Krishnan ,  Wa Yuan ,  Michael Scheibe

IPC: G06Q10/00 ,  G06Q30/0201 ,  G06Q30/0601 ,  G06Q10/0631 ,  G06N5/04 ,  G06Q30/0204 ,  G06N20/00

CPC classification number: G06Q30/0206 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/06312 ,  G06Q10/06313 ,  G06Q10/06315 ,  G06Q30/0205 ,  G06Q30/0635 ,  G06Q30/0641

Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.

公开(公告)号：US12175487B2

公开(公告)日：2024-12-24

申请号：US18503078

申请日：2023-11-06

Applicant: Maplebear Inc.

Inventor： Houtao Deng ,  Ji Chen ,  Zi Wang ,  Soren Zeliger ,  Ganesh Krishnan ,  Wa Yuan ,  Michael Scheibe

IPC: G06Q10/00 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/0631 ,  G06Q30/0201 ,  G06Q30/0204 ,  G06Q30/0601

Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.

公开(公告)号：US20240420037A1

公开(公告)日：2024-12-19

申请号：US18210976

申请日：2023-06-16

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Zi Wang ,  Houtao Deng ,  Xiangyu Wang ,  Ganesh Krishnan ,  Aman Jain

IPC: G06Q10/04 ,  G06Q10/083 ,  G06Q30/0601

Abstract: Embodiments relate to determining an availability of a service option for delivery of an order placed with an online system. The online system receives an order placed with the online system. The online system accesses a computer model trained to predict a value of metric for an order placed with the online system. The online system applies the computer model to predict the value of the metric for the order. The online system determines which service option of a plurality of service options of the online system is available for delivery of the order, based at least in part on the predicted value of the metric and a threshold. The online system causes the device of the user to display an availability of the determined service option for delivery of the order.

公开(公告)号：US20240070757A1

公开(公告)日：2024-02-29

申请号：US18503055

申请日：2023-11-06

Applicant: Maplebear Inc.

Inventor： Amy Luong ,  Michael Righi ,  Graham Adeson ,  Ross Stuart Williams ,  Aman Jain ,  Radhika Anand ,  Ganesh Krishnan

IPC: G06Q30/0601

CPC classification number: G06Q30/0635 ,  G06Q30/0639 ,  G06Q30/0641

Abstract: For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.

公开(公告)号：US20240070605A1

公开(公告)日：2024-02-29

申请号：US17897045

申请日：2022-08-26

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Shuai Wang ,  Zi Wang ,  Ganesh Krishnan ,  Houtao Deng ,  Aman Jain ,  Jian Wang

IPC: G06Q10/08 ,  G06N5/02 ,  G06Q10/06 ,  G06Q30/06

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.

公开(公告)号：US20220343395A1

公开(公告)日：2022-10-27

申请号：US17238217

申请日：2021-04-23

Applicant: Maplebear, Inc.(dba Instacart)

Inventor： Amy Luong ,  Michael Righi ,  Graham Adeson ,  Ross Stuart Williams ,  Aman Jain ,  Radhika Anand ,  Ganesh Krishnan

IPC: G06Q30/06

Abstract: For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.

公开(公告)号：US12271939B2

公开(公告)日：2025-04-08

申请号：US17855788

申请日：2022-06-30

Applicant: Maplebear Inc.

Inventor： Sonali Deepak Chhabria ,  Xiangyu Wang ,  Aman Jain ,  Ganesh Krishnan ,  Trace Levinson ,  Jian Wang

IPC: G06Q30/0601 ,  G01C21/34 ,  G06Q10/0631 ,  G06Q10/0637 ,  G06Q10/087

Abstract: An online concierge system includes a marketplace automation engine for setting various control parameters affecting marketplace operation. The marketplace automation engine applies a hyperparameter learning model to the marketplace state data to predict a set of hyperparameters affecting a set of respective parameterized control decision models. The hyperparameter learning model is trained on historical marketplace state data and a configured outcome objective for the online concierge system. The marketplace automation engine independently applies the set of parameterized control decision models to the marketplace state data using the hyperparameters to generate a respective set of control parameters affecting marketplace operation of the online concierge system. The marketplace automation engine applies the respective set of control parameters to operation of the online concierge system.

公开(公告)号：US20240005381A1

公开(公告)日：2024-01-04

申请号：US17855788

申请日：2022-06-30

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Sonali Deepak Chhabria ,  Xiangyu Wang ,  Aman Jain ,  Ganesh Krishnan ,  Trace Levinson ,  Jian Wang

IPC: G06Q30/06 ,  G06Q10/06 ,  G06Q10/08 ,  G01C21/34

CPC classification number: G06Q30/0635 ,  G06Q10/06311 ,  G06Q10/087 ,  G01C21/3407

Abstract: An online concierge system includes a marketplace automation engine for setting various control parameters affecting marketplace operation. The marketplace automation engine applies a hyperparameter learning model to the marketplace state data to predict a set of hyperparameters affecting a set of respective parameterized control decision models. The hyperparameter learning model is trained on historical marketplace state data and a configured outcome objective for the online concierge system. The marketplace automation engine independently applies the set of parameterized control decision models to the marketplace state data using the hyperparameters to generate a respective set of control parameters affecting marketplace operation of the online concierge system. The marketplace automation engine applies the respective set of control parameters to operation of the online concierge system.