公开(公告)号：US20240144191A1

公开(公告)日：2024-05-02

申请号：US17977759

申请日：2022-10-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Ganesh Krishnan ,  Xiaofan Xu ,  Kevin Ryan

IPC: G06Q10/10

CPC classification number: G06Q10/1093

Abstract: An online concierge system receives a goal and availability information for a picker, in which the availability information describes time slot-location pairs for which the picker is available. The system accesses and applies a first and a second machine learning model to predict a likelihood that an order will be available for service and an amount of earnings for servicing the order, respectively, for each time slot-location pair. The system computes an estimated amount of earnings for each time slot-location pair based on the predictions and generates suggested schedules that each includes one or more time slot-location pairs. For each suggested schedule, the system computes a total estimated amount of earnings based on the estimated amount of earnings and one or more costs. The system identifies a suggested schedule for achieving the goal based on the total estimated amount of earnings or an estimated amount of time included in the suggested schedule.

公开(公告)号：US20240144172A1

公开(公告)日：2024-05-02

申请号：US17977724

申请日：2022-10-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Apurvaa Subramanian ,  Girija Narlikar ,  Chakshu Ahuja ,  Karuna Ahuja ,  Radhika Goel ,  Sneha Chandrababu

IPC: G06Q10/08 ,  G06Q30/02 ,  G06Q30/06

CPC classification number: G06Q10/087 ,  G06Q10/083 ,  G06Q30/0206 ,  G06Q30/0635

Abstract: An online concierge system facilitates a concierge service for ordering, procurement, and delivery of food items from physical retailers. The order fulfillment is based in part on automatically inferring one or more quality metrics, such as remaining shelf-life, associated with perishable food items. A picker shopping on behalf of a customer may capture images of available food items for the order using a picker client device. The images are processed through a machine learning model to infer the one or more quality metrics, and a price is then determined based in part on a dynamic pricing model. The online concierge system communicates with a customer client device to meet quality characteristics and pricing preferences set by the customer. The online concierge system may further facilitate a checkout process for the items obtained by the picker and may facilitate delivery of the items by the picker to the customer.

公开(公告)号：US20240135423A1

公开(公告)日：2024-04-25

申请号：US18047990

申请日：2022-10-18

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Shitao Wang ,  Apurvaa Subramaniam ,  Nicholas George Gordenier

IPC: G06Q30/06

CPC classification number: G06Q30/0631

Abstract: An online concierge system generates an aggregated lift score for a test feature for the online concierge system. The online concierge presents prioritized items from a set of item groups to two sets of users: a test set and a control set. The online concierge system uses the test feature to present prioritized items to users in the test set, and the online concierge system uses existing functionality to present prioritized items to users in the control set. For each test group, the online concierge system creates holdout subsets out of the test set and the control set. The online concierge system tracks user interactions with items in an item group and computes a group lift score for the item group. The online concierge system generates an aggregated lift score for the test feature based on the group lift scores and presents items to users based on the aggregated lift score.

公开(公告)号：US20240112238A1

公开(公告)日：2024-04-04

申请号：US17956217

申请日：2022-09-29

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Girija Narlikar ,  Karuna Ahuja ,  Radhika Goel ,  Chakshu Ahuja ,  Xiaoming Zhang ,  Devlina Das

IPC: G06Q30/06 ,  G06Q30/02 ,  G06Q30/08 ,  G06Q50/00

CPC classification number: G06Q30/0631 ,  G06Q30/0203 ,  G06Q30/0603 ,  G06Q30/08 ,  G06Q50/01

Abstract: An online concierge system receives a request to purchase a gift for a user of the system and retrieves a profile associated with the user. Based on the profile and attributes of items included among inventories of one or more retailer locations, the system identifies a set of candidate items for which the user is likely to have an affinity. The system accesses a machine learning model trained to predict a giftability score for an item and applies the model to attributes of each candidate item to predict its giftability score. Based on its giftability score and the profile, the system computes a composite score for each candidate item indicating an appropriateness of gifting the candidate item to the user. The system ranks the set of candidate items based on the composite scores and selects one or more suggested items for gifting to the user based on the ranking.

公开(公告)号：US20240104622A1

公开(公告)日：2024-03-28

申请号：US17955250

申请日：2022-09-28

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Vinesh Reddy Gudla ,  Tyler Russell Tate ,  Tejaswi Tenneti ,  Akshay Nair

IPC: G06Q30/06 ,  G06Q30/02

CPC classification number: G06Q30/0629 ,  G06Q30/0201 ,  G06Q30/0204

Abstract: An online system receives a search query from a client device associated with a user and queries a database including item data for a set of items matching the query, in which the set of items is at a retailer location associated with a retailer type and each item is associated with an item category. For each item of the set, a machine learning model is applied to predict a probability of conversion for the user and item and a score is computed based on an expected value, in which the expected value is based on a value associated with the item and the probability. The score for each item is boosted based on the item category, retailer type, or a user segment that is based on the user's historical order data. The items are ranked based on the boosted scores and the ranking is sent to the client device.

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

IPC: G06Q30/06 ,  G06Q10/08 ,  G06Q30/02

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.

公开(公告)号：US20240046313A1

公开(公告)日：2024-02-08

申请号：US17877748

申请日：2022-07-29

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Luis Manrique ,  Aamir Poonawalla ,  Amin Akbari ,  Shesh Nath Mishra ,  Eitan Pinhas Teruzzi Katznelson

IPC: G06Q30/02 ,  G06Q10/08 ,  G06Q30/08

CPC classification number: G06Q30/0272 ,  G06Q10/087 ,  G06Q30/08

Abstract: An online concierge system facilitates procurement and delivery of items for customers using a network of shoppers. The online concierge system includes a promotion management engine that paces delivery of promotions for content campaigns based in part on predicted item availability and a paced spending model that operates to pace spending of a content campaign over a budget period. The system paces the delivery by determining whether to enter a bid for the impression opportunity by comparing an observed cumulative spend for the content campaign during a portion of the budget period prior to the impression time and a desired cumulative spend for the content campaign during the portion of the budget period prior to the impression time based on the distribution of impression opportunities and a budget for the content campaign during the budget period.

公开(公告)号：US20240037863A1

公开(公告)日：2024-02-01

申请号：US17877676

申请日：2022-07-29

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Dominic Cocchiarella ,  Aditya Godbole ,  Andrew Peters ,  Spencer Schack ,  Brandon Leonardo

IPC: G06T19/00 ,  G06Q30/06

CPC classification number: G06T19/006 ,  G06Q30/0643 ,  G06Q30/0627 ,  G06Q30/0629 ,  G06Q30/0631

Abstract: An augmented reality application executing on a client device receives video data captured by a camera of the device, in which the video data includes a display area of the device. The application detects a set of items within the display area based on the video data, wherein the set of items is included among an inventory of a warehouse associated with a retailer, and accesses a set of attributes of each item. The application retrieves profile information including a set of preferences associated with a customer of the retailer, matches one or more of the set of preferences with one or more attributes of each item, and generates an augmented reality element based on the matches. The augmented reality element is then displayed, such that it is overlaid onto a portion of the display area based on a location within the display area at which the items are detected.

公开(公告)号：US20240029132A1

公开(公告)日：2024-01-25

申请号：US17868572

申请日：2022-07-19

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Shih-Ting Lin ,  Amirali Darvishzadeh ,  Min Xie ,  Haixun Wang

IPC: G06Q30/06 ,  G06F40/20

CPC classification number: G06Q30/0627 ,  G06F40/20 ,  G06N20/00

Abstract: To improve attribute prediction for items, item categories are associated with a schema that is augmented with additional attributes and/or attribute labels. Items may be organized into categories and similar categories may be related to one another, for example in a taxonomy or other organizational structure. An attribute extraction model may be trained for each category based on an initial attribute schema for the respective category and the items of that category. The extraction model trained for one category may be used to identify additional attributes and/or attribute labels for the same or another, related category.

公开(公告)号：US20230385911A1

公开(公告)日：2023-11-30

申请号：US17752061

申请日：2022-05-24

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Danna Weintraub ,  Erik Wolfe

IPC: G06Q30/06

CPC classification number: G06Q30/0639 ,  G06Q30/0643 ,  G06Q30/0633

Abstract: An online system may receive, from a user device, a request to view, at a graphical user interface, available entries of a third-party system. The third-party system may operate multiple physical locations. The operation of each physical location is documented by a time-sensitive dataset which includes multiple dynamic item entries. The online system may retrieve a geographical location associated with the user device and determine a subset of physical locations operated by the third-party system that are eligible for further selection based on distances of the physical locations from the geographical location associated with the user device. The online system may determine a metric measuring a size of the dynamic item entries available in the time-sensitive dataset and select one of the physical locations based on the metric. The online system may cause for display the dynamic item entries in the time-sensitive dataset associated with the selected physical location.