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.

Inventor： Brent Scheibelhut ,  Shaun Navin Maharaj ,  Madeline Mesard

IPC: G06Q30/0601

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.

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.

Inventor： Madeline Mesard ,  Brent Scheibelhut ,  Shaun Navin Maharaj

IPC: G06Q30/0601 ,  G06F40/40 ,  G06Q30/0204

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.

公开(公告)号：US20240320523A1

公开(公告)日：2024-09-26

申请号：US18605580

申请日：2024-03-14

Applicant: Maplebear Inc.

Inventor： Ryan McColeman ,  Ryan Martin ,  Brent Scheibelhut ,  Shaun Navin Maharaj ,  Mark Oberemk

IPC: G06N5/022 ,  G06N5/04

CPC classification number: G06N5/022 ,  G06N5/04

Abstract: An online system performs an inference task in conjunction with the model serving system or the interface system to continuously monitor conversations between requesting users and fulfillment users to determine whether the online system can intervene to automatically respond to a message sent by a sending party, rather than prompting the receiving party for a manual reply. Upon inferring that a message can be automatically responded to, the online system automatically provides a response to the message without the receiving party's manual involvement. The online system can further be augmented to classify and reroute certain requesting user or fulfillment user queries that impact an order's end state by intercepting the conversation on behalf of either party and performing one or more automated actions. If the message is action-oriented, the online system may perform one or more automated actions in response to the message.

公开(公告)号：US20240177219A1

公开(公告)日：2024-05-30

申请号：US18070382

申请日：2022-11-28

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Shaun Navin Maharaj ,  Brent Scheibelhut ,  Bradley Colthurst ,  Ryan McColeman

IPC: G06Q30/0601 ,  G06Q10/087

CPC classification number: G06Q30/0633 ,  G06Q10/087 ,  G06Q30/0631

Abstract: An online concierge system facilitates ordering, procurement, and delivery of items to a customer from physical retailers based on shared cart recommendations. Based on customer identifying information and other data sources, the online concierge system may recommend prepopulated shared carts that may be of interest to a customer. The prepopulated carts may be associated with other users of the online concierge system or may be associated with specific events, locations, or other metadata. Prepopulated carts may be created by other users that select to share their carts. Additionally, prepopulated carts may be created and shared by retailers, manufacturers, wholesalers, or other stakeholders in the selling of items through the online concierge system. Furthermore, recommended carts may be automatically generated based on machine learning techniques.

公开(公告)号：US20250140403A1

公开(公告)日：2025-05-01

申请号：US18495651

申请日：2023-10-26

Applicant: Maplebear Inc.

Inventor： Shaun Navin Maharaj ,  Brent Scheibelhut ,  Mark Oberemk ,  Ryan McColeman ,  Ryan Martin

IPC: G16H50/20 ,  G06Q30/0601 ,  G06Q40/08 ,  G16H10/20

Abstract: A trained computer model for generating an aggregated health score for a business user of an online system. The online system obtains a set of health scores for a set of individual employees of a business user of an online system. The online system accesses a computer model of the online system trained to determine an aggregated health score for the business user. The online system applies the computer model to generate, based at least in part on the set of health scores and content of a set of orders placed by the business user, the aggregated health score for the business user. The online system causes a device of the business user to display a user interface with the aggregated health score.

公开(公告)号：US20240428314A1

公开(公告)日：2024-12-26

申请号：US18212122

申请日：2023-06-20

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Ryan McColeman ,  Brent Scheibelhut ,  Mark Oberemk ,  Shaun Navin Maharaj

IPC: G06Q30/0601 ,  G06Q30/0201

Abstract: The present disclosure is directed to determining purchase suggestions for an online shopping concierge platform. In particular, the methods and systems of the present disclosure may receive, from a computing device associated with a customer of an online shopping concierge platform, data indicating one or more interactions of the customer with the online shopping concierge platform; determine, based at least in part on one or more machine learning (ML) models and the data indicating the interaction(s), a likelihood that the customer will purchase a particular item if presented, at a specific time, with a suggestion to purchase the particular item; and generate and communicate data describing a graphical user interface (GUI) comprising at least a portion of a listing of one or more purchase suggestions including the suggestion to purchase the particular item.

公开(公告)号：US20240403923A1

公开(公告)日：2024-12-05

申请号：US18677640

申请日：2024-05-29

Applicant: Maplebear Inc.

Inventor： Bryan Pham ,  Shaun Navin Maharaj ,  Brent Scheibelhut ,  Mark Oberemk ,  Fabien Mouvet

IPC: G06Q30/0241

Abstract: An online system generates digital flyers using a generative model. The online system receives, from a client device, a request to generate a digital flyer. The request includes one or more design conditions for the digital flyer. For example, the design conditions may specify one or more cornerstone items, a theme, a template flyer, other target characteristics, etc. The online system further accesses an item catalog storing item data. The online system generates a query for a generative model including a prompt to generate the digital flyer, the one or more design conditions, and item data accessed from the item catalog. The online system provides the query to a model serving system, which executes the generative model with the query to return a batch of one or more digital flyers. The online system provides a first digital flyer in the batch of one or more digital flyers for presentation.

公开(公告)号：US20240346441A1

公开(公告)日：2024-10-17

申请号：US18632540

申请日：2024-04-11

Applicant: Maplebear Inc.

Inventor： Ryan McColeman ,  Ryan Martin ,  Brent Scheibelhut ,  Shaun Navin Maharaj ,  Mark Oberemk

IPC: G06Q10/087 ,  G06N5/04

CPC classification number: G06Q10/087 ,  G06N5/04

Abstract: An online system performs an inference task in conjunction with the model serving system or the interface system to continuously monitor conversations between users and shoppers to determine whether a message sent by a sending party can be automatically responded to rather than prompting the receiving party for a manual response. The online system automatically provides a response to the message without the receiving party's manual involvement. In one or more embodiments, the online system can infer whether a question can be intercepted and/or suggests one or more available answers the sender can consider as feedback without a manual response from the receiver.

公开(公告)号：US20240289857A1

公开(公告)日：2024-08-29

申请号：US18113874

申请日：2023-02-24

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Shaun Navin Maharaj ,  Brent Scheibelhut ,  Mark Oberemk

IPC: G06Q30/0601

CPC classification number: G06Q30/0623 ,  G06Q30/0603

Abstract: An online concierge system delivers items from multiple retailers to customers. To avoid delivery of expired or near-expired items, the online concierge system obtains attributes of items offered by a retailer, such as from images of items at the retailer from client devices and uses a trained desirability model to predict a desirability score of an item based on the item's attributes. The desirability model is trained using training examples with labels indicating whether an item was suitable for inclusion in an order. The desirability model may be used to determine if an item is suitable for inclusion in an order, to provide suggestions for a retailer for using the item, or to select a retailer for fulfilling an order.

公开(公告)号：US20230419381A1

公开(公告)日：2023-12-28

申请号：US17846887

申请日：2022-06-22

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Leho Nigul ,  Shaun Navin Maharaj ,  Brent Scheibelhut

IPC: G06Q30/06

CPC classification number: G06Q30/0613

Abstract: An online concierge system receives, from a client device comprising a customer mobile application, an order comprising a list of one or more items for delivery to a destination location from a warehouse. The customer mobile application comprises a user interface. The online concierge system identifies a set of item groupings from a database that match the list of one or more items. The online concierge system applies the order and the set of item groupings to a machine learning model to produce a set of foundational items. The online concierge system sends for display, to the client device, an updated user interface comprising a foundational items graphical element that visually distinguishes the set of foundational items from other items in the list of one or more items.