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公开(公告)号:US12223538B2
公开(公告)日:2025-02-11
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: G06Q30/00 , G06Q30/0601
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.
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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.
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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
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.
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