公开(公告)号：US20240394720A1

公开(公告)日：2024-11-28

申请号：US18202876

申请日：2023-05-26

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Youdan Xu ,  Michael Chen ,  Marina Tanasyuk ,  Matthew Donghyun Kim ,  Ajay Pankaj Sampat ,  Caleb Grisell ,  Yuan Gao

IPC: G06Q10/08 ,  G08G1/14 ,  H04W4/02

Abstract: An online concierge system uses a machine-learned parking quality model to quantify the suitability of a particular parking location (e.g., a parking lot, or a street) for use when performing purchases at a retail location on behalf of customers. The parking quality model's output is determined according to input features related to parking at a candidate parking location, such as a current time, a current degree of demand for shoppers at the retail location, or a current average shopper wait time at the retail location before receiving an order. The online concierge system provides suggested alternate parking locations to a client device of the shopper, where they may be displayed, e.g., as part of an electronic map. Use of the suggested alternate parking locations helps to preserve parking availability in restricted areas such as retailer parking lots and to reduce traffic congestion in the area of the retailer.

公开(公告)号：US20250111303A1

公开(公告)日：2025-04-03

申请号：US18374457

申请日：2023-09-28

Applicant: Maplebear Inc.

Inventor： Rucheng Xiao ,  Aoshi Li ,  Youdan Xu ,  Mengyu Zhang ,  Chen Zhang ,  Ziwei Shi ,  Matthew Donghyun Kim

IPC: G06Q10/0631

Abstract: An online concierge system identifies a set of attributes of one or more future time periods and accesses a machine learning model trained to predict a set of working hours for a picker during a future time period, in which the set of working hours describes an availability of the picker to service orders placed with the online concierge system. The online concierge system then applies the machine learning model to the set of attributes to predict the set of working hours for the picker during the future time periods and stores the predicted set of working hours for the picker during the future time periods.

公开(公告)号：US20240289731A1

公开(公告)日：2024-08-29

申请号：US18113566

申请日：2023-02-23

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Youdan Xu ,  Matthew Donghyun Kim ,  Michael Chen ,  Marina Tanasyuk ,  Caleb Grisell ,  Adrian Mclean ,  Ajay Pankaj Sampat ,  Yuan Gao

IPC: G06Q10/0834 ,  G06Q10/083

CPC classification number: G06Q10/08345 ,  G06Q10/0631 ,  G06Q10/0838 ,  G06Q10/1053

Abstract: An online concierge system schedules pickers (shoppers) to fulfill orders from users. During periods of peak demand, the system increases compensation to shoppers to encourage more to participate, thereby reducing missed orders. The system determines an optimal multiplier to increase compensation based on predictive models of supply and demand and then applying an optimization algorithm to search different hyperparameters that affect how the models generate the multipliers. The system selects the optimal multipliers for different time periods and locations. The system may further present the multipliers being offered during future time periods and enable users to activate reminder alerts for select periods. The offers may be presented in a ranked list using a model trained to infer likelihoods of the user accepting participation and/or setting a reminder notification.