CREATION AND ARRANGEMENT OF ITEMS IN AN ONLINE CONCIERGE SYSTEM-SPECIFIC PORTION OF A WAREHOUSE FOR ORDER FULFILLMENT

    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.

    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.

    CREATION AND ARRANGEMENT OF ITEMS IN AN ONLINE CONCIERGE SYSTEM-SPECIFIC PORTION OF A WAREHOUSE FOR ORDER FULFILLMENT

    公开(公告)号:US20230342711A1

    公开(公告)日:2023-10-26

    申请号:US17726422

    申请日:2022-04-21

    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.

    Context-Based Generation of Summarized Reviews Using a Large Language Model

    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.

    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.

    CREATION AND ARRANGEMENT OF ITEMS IN AN ONLINE CONCIERGE SYSTEM-SPECIFIC PORTION OF A WAREHOUSE FOR ORDER FULFILLMENT

    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.

    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.

    Creation and arrangement of items in an online concierge system-specific portion of a warehouse for order fulfillment

    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.

    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.

    Creation and arrangement of items in an online concierge system-specific portion of a warehouse for order fulfillment

    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.

    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.

    AUTOMATIC QUALITY ASSESSMENT OF AN ITEM DURING ORDER FULFILLMENT

    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.

    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.

    ITEM AVAILABILITY MODEL PRODUCING ITEM VERIFICATION NOTIFICATIONS

    公开(公告)号:US20240070747A1

    公开(公告)日:2024-02-29

    申请号:US17900744

    申请日:2022-08-31

    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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