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1.
公开(公告)号:US20240095673A1
公开(公告)日:2024-03-21
申请号:US18524860
申请日:2023-11-30
Applicant: Maplebear Inc.
Inventor: Joey Loi , Viswa Mani Kiran Peddinti
IPC: G06Q10/087
CPC classification number: G06Q10/087
Abstract: A warehouse from which shoppers fulfill orders for an online concierge system maintains an online concierge system-specific portion for which the online concierge system specifies placement of items in regions. To place items in the online concierge system-specific portion, the online concierge system accounts for co-occurrences of different items in orders and measures of similarity between different items. From the co-occurrences of items, the online concierge system generates an affinity graph. The online concierge system also generates a colocation graph based on distances between different regions in the online concierge system-specific portion. Using an optimization function with the affinity graph and the colocation graph, the online concierge system selects regions within the online concierge system-specific portion for different items to minimize an amount of time for shoppers to obtain items in the online concierge-system specific portion.
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2.
公开(公告)号:US20230342711A1
公开(公告)日:2023-10-26
申请号:US17726422
申请日:2022-04-21
Applicant: Maplebear Inc. (dba Instacart)
Inventor: Joey Loi , Viswa Mani Kiran Peddinti
IPC: G06Q10/08
CPC classification number: G06Q10/087
Abstract: A warehouse from which shoppers fulfill orders for an online concierge system maintains an online concierge system-specific portion for which the online concierge system specifies placement of items in regions. To place items in the online concierge system-specific portion, the online concierge system accounts for co-occurrences of different items in orders and measures of similarity between different items. From the co-occurrences of items, the online concierge system generates an affinity graph. The online concierge system also generates a colocation graph based on distances between different regions in the online concierge system-specific portion. Using an optimization function with the affinity graph and the colocation graph, the online concierge system selects regions within the online concierge system-specific portion for different items to minimize an amount of time for shoppers to obtain items in the online concierge-system specific portion.
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公开(公告)号:US20250124476A1
公开(公告)日:2025-04-17
申请号:US18485809
申请日:2023-10-12
Applicant: Maplebear Inc.
Inventor: Viswa Mani Kiran Peddinti
IPC: G06Q30/0282
Abstract: An online system receives user reviews for items and generates a review embedding for each review. The system receives a request for information describing an item from a client device associated with a user. Responsive to the request, the system identifies the item and contextual information associated with a current session of the user, and generates a user embedding based on the contextual information. The system compares the user embedding to a set of review embeddings for the item, identifies a set of reviews for the item based on the comparison, and generates a prompt including the identified set of reviews and a request to summarize, for the user, the identified set of reviews. The system provides the prompt to a large language model to obtain a summarized review for the item and sends a user interface including the item and summarized review for display to the client device.
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公开(公告)号:US20230186360A1
公开(公告)日:2023-06-15
申请号:US17549774
申请日:2021-12-13
Applicant: Maplebear Inc. (dba Instacart)
Inventor: Joey Loi , Viswa Mani Kiran Peddinti , Eugene Agronin , John Salaveria
CPC classification number: G06Q30/0613 , G06F16/3334 , G06Q30/0641
Abstract: An online concierge system allows users to add items to an order and provide instructions to a shopper specifying attributes for selecting an item in the order from a warehouse. To simplify entry of the instructions, the online concierge system converts previously received instructions comprising unstructured text into structured suggestions by extracting words from the previously received instructions. The suggestions are associated with items or generic item descriptions. When a user includes an item in an order, the online concierge system displays one or more suggestions associated with the item as selectable options in an interface to simplify specification of instructions for the item.
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公开(公告)号:US20250148418A1
公开(公告)日:2025-05-08
申请号:US19013722
申请日:2025-01-08
Applicant: Maplebear Inc.
Inventor: Joey Loi , Viswa Mani Kiran Peddinti
IPC: G06Q10/087
Abstract: A warehouse from which shoppers fulfill orders for an online concierge system maintains an online concierge system-specific portion for which the online concierge system specifies placement of items in regions. To place items in the online concierge system-specific portion, the online concierge system accounts for co-occurrences of different items in orders and measures of similarity between different items. From the co-occurrences of items, the online concierge system generates an affinity graph. The online concierge system also generates a colocation graph based on distances between different regions in the online concierge system-specific portion. Using an optimization function with the affinity graph and the colocation graph, the online concierge system selects regions within the online concierge system-specific portion for different items to minimize an amount of time for shoppers to obtain items in the online concierge-system specific portion.
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公开(公告)号:US12229720B2
公开(公告)日:2025-02-18
申请号:US18524860
申请日:2023-11-30
Applicant: Maplebear Inc.
Inventor: Joey Loi , Viswa Mani Kiran Peddinti
IPC: G06Q10/00 , G06Q10/087 , G06Q30/06
Abstract: A warehouse from which shoppers fulfill orders for an online concierge system maintains an online concierge system-specific portion for which the online concierge system specifies placement of items in regions. To place items in the online concierge system-specific portion, the online concierge system accounts for co-occurrences of different items in orders and measures of similarity between different items. From the co-occurrences of items, the online concierge system generates an affinity graph. The online concierge system also generates a colocation graph based on distances between different regions in the online concierge system-specific portion. Using an optimization function with the affinity graph and the colocation graph, the online concierge system selects regions within the online concierge system-specific portion for different items to minimize an amount of time for shoppers to obtain items in the online concierge-system specific portion.
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公开(公告)号:US11868961B2
公开(公告)日:2024-01-09
申请号:US17726422
申请日:2022-04-21
Applicant: Maplebear Inc.
Inventor: Joey Loi , Viswa Mani Kiran Peddinti
IPC: G06Q10/00 , G06Q30/06 , G06Q10/087
CPC classification number: G06Q10/087
Abstract: A warehouse from which shoppers fulfill orders for an online concierge system maintains an online concierge system-specific portion for which the online concierge system specifies placement of items in regions. To place items in the online concierge system-specific portion, the online concierge system accounts for co-occurrences of different items in orders and measures of similarity between different items. From the co-occurrences of items, the online concierge system generates an affinity graph. The online concierge system also generates a colocation graph based on distances between different regions in the online concierge system-specific portion. Using an optimization function with the affinity graph and the colocation graph, the online concierge system selects regions within the online concierge system-specific portion for different items to minimize an amount of time for shoppers to obtain items in the online concierge-system specific portion.
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公开(公告)号:US20250139137A1
公开(公告)日:2025-05-01
申请号:US18495581
申请日:2023-10-26
Applicant: Maplebear Inc.
Inventor: Brent Scheibelhut , Charles Wesley , Siby Alappatt , Benjamin Chevoor , Viswa Mani Kiran Peddinti
IPC: G06F16/332 , G06F16/335 , G06T7/00
Abstract: Use of a language model to automatically perform visual assessment of quality of an item being fulfilled by a picker. The online system receives an image of the item and identifies a set of potential problems associated with the item. The online system generates a plurality of prompts for input into the language model including the image and one or more questions each corresponding to a respective potential problem of the set potential problems. The online system requests the language model to generate, based on the plurality of prompts, a feedback response for each potential problem. The online system generates an aggregated output by aggregating the feedback response for each potential problem, and based on the aggregated output, a second message that identifies one or more relevant problems associated with the item. The online system causes a device of the picker to display the second message.
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公开(公告)号:US20240354824A1
公开(公告)日:2024-10-24
申请号:US18138002
申请日:2023-04-21
Applicant: Maplebear Inc. (dba Instacart)
IPC: G06Q30/0601 , G06N3/084
CPC classification number: G06Q30/0625 , G06N3/084
Abstract: An online concierge system presents items to a user in one or more interfaces and maintains various attributes for each item. To optimize information about items in an interface, when the online concierge system receives a request for an interface, the online concierge system determines a context for the interface and a set of items to display in the interface from the request. For an item displayed by the interface, the online concierge system applies a trained attribute selection to each combination of the item, an attribute of the item, and the context for the interface to determine an information gain to the user from displaying the attribute of the item along with the item in the interface with the context. Based on the information gains, the online concierge system selects an attribute to display in the interface in conjunction with the item.
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公开(公告)号:US20240070747A1
公开(公告)日:2024-02-29
申请号:US17900744
申请日:2022-08-31
Applicant: Maplebear Inc. (dba Instacart)
Inventor: Joey Loi , Eugene Agronin , Viswa Mani Kiran Peddinti
CPC classification number: G06Q30/0631 , G06Q10/087 , G06Q30/0208 , G06Q30/0281
Abstract: An item availability model produces item verification notifications, for example, by receiving data indicating a plurality of items associated with an online shopping concierge platform; determining based at least in part on the data indicating the plurality of items and one or more machine learning (ML) models, a subset of the plurality of items for which to have one or more shoppers associated with the online shopping concierge platform check current availability at one or more warehouse locations associated with the online shopping concierge platform; and generating and transmitting communications comprising at least one of dispatching, instructing, incentivizing, or encouraging the one or more shoppers to check the current availability of at least a portion of the subset of the plurality of items at the one or more warehouse locations.
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