PREDICTING CAUSES OF CHURN AND ALLOCATING FULFILLMENT RESOURCES BASED ON PREDICTION

    公开(公告)号:US20250156930A1

    公开(公告)日:2025-05-15

    申请号:US18510554

    申请日:2023-11-15

    Applicant: Maplebear Inc.

    Abstract: An online concierge system identifies churn of a customer, which occurs when the customer does not perform a specific action within a threshold time period. The online concierge system determines an event causing churn of the customer based on characteristics of the customer and attributes describing prior fulfillment of an order for the customer. To mitigate different events causing churn, the online concierge system maps areas of expertise of pickers for different aspects of order fulfillment to corresponding events. Through a trained picker scoring model, the online concierge system determines picker scores for different pickers fulfilling an order for a customer using characteristics of pickers, including an expertise, characteristics of the customer, and an event causing churn of the customer. Based on the picker scores, the online concierge system selects a specific picker for fulfilling a subsequent order from the customer.

    AUTOMATIC GENERATION OF PERSONALIZED COLLECTION OF ITEMS AROUND A THEME AT AN ONLINE SYSTEM

    公开(公告)号:US20250124484A1

    公开(公告)日:2025-04-17

    申请号:US18485581

    申请日:2023-10-12

    Applicant: Maplebear Inc.

    Abstract: An online system automatically generates a personalized collection of items around a theme. The online system generates a prompt for input into a language model, the prompt including information about a plurality of items and a text describing the theme around which the collection of items will be built. The online system requests the language model to generate, based on the prompt, a list of products eligible for building the collection of items. The online system accesses a computer model trained to identify a set of items personalized for a user of the online system. The computer model identifies, based on the list of eligible products and information about the user, the set of items for populating the collection of items. The online system causes a device of the user to display a user interface with the collection of items for inclusion into a cart of the user.

    RECOMMENDATION SYSTEM USING A RECIPE DATABASE AND CO-OCCURRENCES OF HISTORICAL ITEM SELECTIONS

    公开(公告)号:US20250069126A1

    公开(公告)日:2025-02-27

    申请号:US18236342

    申请日:2023-08-21

    Applicant: Maplebear Inc.

    Abstract: An online system identifies recipes that are most likely to be pertinent to particular users of the system. To do so, the online system uses an association table containing degrees of association between pairs of possible ingredients, identifying degrees of association between the constituent ingredients of various possible recipes and between ingredients from known user personalization data about the user to whom recipes are being recommended. These degrees of association are used to compute a score for each recipe as a whole, with the highest scores indicating the most pertinent recipes for the user in question. The most pertinent recipes, and/or the constituent ingredients of those recipes, are recommended to the user, and the system may additionally aid the user in obtaining the full complement of ingredients for a recommended recipe. The system may also build the association table as a co-occurrence graph of pairs of items that were previously purchased together by users of the system.

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