公开(公告)号：US20250029053A1

公开(公告)日：2025-01-23

申请号：US18224795

申请日：2023-07-21

Applicant: Maplebear Inc.

Inventor： Kevin Charles Ryan ,  Krishna Kumar Selvam ,  Tahmid Shahriar ,  Ajay Pankaj Sampat ,  Shouvik Dutta ,  Sawyer Bowman ,  Nicholas Rose ,  Ziwei Shi

IPC: G06Q10/0834 ,  G06Q10/083

Abstract: An online concierge system receives information describing the progress of a picker servicing a batch of existing orders and a service request for an order. The system identifies picker attributes of the picker and order attributes of the order and each existing order of the set and accesses a machine learning model trained to predict a likelihood the picker will accept an add-on request to add the order to the batch of existing orders. To predict the likelihood, the system applies the model to the picker attributes, the progress of the picker, and the order attributes. The system determines a cost associated with sending the add-on request to the picker based on the likelihood and assigns the order to a set of orders based on the cost. The system sends the add-on request to the picker responsive to determining the order is assigned to the batch of existing orders.

公开(公告)号：US20250022003A1

公开(公告)日：2025-01-16

申请号：US18350202

申请日：2023-07-11

Applicant: Maplebear Inc.

Inventor： Leho Nigul

IPC: G06Q30/0204

Abstract: An automated checkout system applies environmental effects to physical regions within a store. The automated checkout system logs the environmental effect, a time the environmental effect was applied, and the physical region to which the environmental effect was applied. The automated checkout system detects an interaction event and logs a time associated with the interaction event. The automated checkout system identifies a location of the automated shopping cart and identifies a physical region within the store that contains the automated shopping cart's location. The automated checkout system identifies the environmental effect that was applied to the physical region at the time of the interaction event and generates a data point. For each environmental effect, the automated checkout system computes a success metric based on the generated data points. The automated checkout system applies environmental effects to physical regions based on the success metrics.

公开(公告)号：US12198173B2

公开(公告)日：2025-01-14

申请号：US17731608

申请日：2022-04-28

Applicant: Maplebear Inc.

Inventor： Konrad Gustav Miziolek ,  Bryan Daniel Bor

IPC: G06Q30/00 ,  G06N20/20 ,  G06Q30/0201 ,  G06Q30/0601

Abstract: A user treatment engine uses user data describing characteristics of a user to evaluate a set of treatments that the user treatment engine may apply to the user. The user treatment engine generates treatment cost predictions for the treatments and generates treatment scores for the set of treatments based on the treatment cost predictions for the treatments and the user data for the user. The user treatment engine selects and applies a treatment from the set of treatments based on the generated treatment scores. The user treatment engine determines a reward to the online concierge system for the application of the treatment to the user and updates treatment selection parameters for the applied treatment based on the determined reward.

公开(公告)号：US20250005650A1

公开(公告)日：2025-01-02

申请号：US18217337

申请日：2023-06-30

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Muhammad Iftekher Chowdhury

IPC: G06Q30/0601 ,  H04L51/046 ,  H04W12/033

Abstract: An online concierge system provides a client application executed on a client device for customers to generate orders for fulfillment by the online concierge system. If the client device is unable to establish a data connection to a network, the client application locally caches data on the client device for one or more retailers that includes items that have been previously purchased by the customer or that are popular among customers. The customer generates an order through the client application for a retailer based on the locally cached items for the retailer. The online concierge system application generates an encrypted text message based on the order that is transmitted to the online concierge system via short message service (SMS). The online concierge system may also return messages via SMS, which may be presented by the client application.

公开(公告)号：US20250005629A1

公开(公告)日：2025-01-02

申请号：US18498967

申请日：2023-10-31

Applicant: Maplebear Inc.

Inventor： Li Tan ,  Haixun Wang ,  Jian Li

IPC: G06Q30/0251 ,  G06N20/00 ,  G06Q50/12

Abstract: A computer system finetunes a machine-learned language model to generate a personalized response to a user request. The system may generate a user representation for each of a plurality of users by applying a transformer model to a sequence of tokens representing a sequence of activities of the user. The system may train an evaluation model coupled to receive a user representation and a response to a user request and generate an estimated evaluation score indicating a level of personalization of the response to the user. The system may finetune a first machine-learned language model to generate a second machine-learned language model. The finetuned machine-learned language model is configured to provide personalized responses for customer services at an online concierge system.

公开(公告)号：US20250005279A1

公开(公告)日：2025-01-02

申请号：US18215505

申请日：2023-06-28

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Shih-Ting Lin ,  Prithvishankar Srinivasan ,  Saurav Manchanda ,  Shishir Kumar Prasad ,  Min Xie

IPC: G06F40/247 ,  G06F16/21 ,  G06F16/215 ,  G06F16/28

Abstract: A computer system uses clustering and a large language model (LLM) to normalize attribute tuples for items stored in a database of an online system. The online system collects attribute tuples, each attribute tuple comprising an attribute type and an attribute value for an item. The online system initially clusters the attribute tuples into a first plurality of clusters. The online system generates prompts for input into the LLM, each prompt including a subset of attribute tuples grouped into a respective cluster of the first plurality. Based on the prompts, the LLM generates a second plurality of clusters, each cluster including one or more attribute tuples that have a common attribute type and a common attribute value. The online system maps each attribute tuple to a respective normalized attribute tuple associated with each cluster. The online system rewrites each attribute tuple in the database to a corresponding normalized attribute tuple.

公开(公告)号：US20240428304A1

公开(公告)日：2024-12-26

申请号：US18212633

申请日：2023-06-21

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Christopher Hans Nietes Rudnick ,  Imaan Munir ,  Eduardo Martin Alarcon Villaran ,  Miranda Bouck ,  Uladzimir Bahatyrevich

IPC: G06Q30/0601

Abstract: A scrollable listing of icons associated with catalogs is displayed, in which the scrollable listing of icons is overlaid onto a page and remains fixed when the page is scrolled, each icon is associated with a catalog, and each icon is displayed with an indication of a set of items selected from a corresponding catalog. In response to a user selection of an icon from the scrollable listing of icons, the page is updated to include items included in a catalog associated with the selected icon. In response to a user selection to add an item from the page including the items, the indication displayed with the selected icon in the scrollable listing of icons is updated to indicate the added item.

公开(公告)号：US12175525B2

公开(公告)日：2024-12-24

申请号：US17493150

申请日：2021-10-04

Applicant: Maplebear Inc.

Inventor： Jeffrey Bernard Arnold ,  Rob Donnelly ,  Sumit Garg ,  Jonathan Gu ,  Bill Lundberg ,  David Pal ,  Sharath Rao Karikurve ,  Peng Qi

IPC: G06Q30/0601 ,  G06F9/451 ,  G06Q30/02

Abstract: An online concierge system includes sponsored content items in an interface including different slots for displaying content items. A sponsored content item may be displayed in a single slot or in multiple adjacent slots. The online concierge system determines a content score for various sponsored content items indicating a likelihood of a user interacting with a sponsored content item and a position bias for slots in the interface indicating a likelihood of the user interacting with a slot independent of content in the slot. Position biases are different dependent on a number of slots in which a content item is displayed. The online concierge system generates a graph identifying potential placements of sponsored content items in slots by selecting content items in an order according to their content scores. Sponsored content items are positioned in slots according to a path through the graph that has the highest overall expected value.

公开(公告)号：US20240420209A1

公开(公告)日：2024-12-19

申请号：US18209178

申请日：2023-06-13

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Amalia Rothschild-Keita

IPC: G06Q30/0601

Abstract: Automatic creation of lists of items at an online system organized around co-occurrences of items. The online system provides inputs into a computer model, the inputs including information about items purchased by a user of the online system over a defined time period, information about a catalog of items stored at one or more computer-readable media of the online system, and a plurality of recipes each including a set of co-occurring items. The online system applies the computer model to generate an indication of co-occurrence of each pair of items in each recipe. The online system generates one or more lists of items based on the indication of co-occurrence, each of the one or more lists of items associated with a respective recipe. The online system causes a device of the user to display a user interface with the one or more lists of items for presentation to the user.

公开(公告)号：US20240394771A1

公开(公告)日：2024-11-28

申请号：US18202768

申请日：2023-05-26

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Shrikar Archak ,  Shishir Kumar Prasad

IPC: G06Q30/0601 ,  G06Q30/08

Abstract: Embodiments relate to automatically generating a basket of items to be recommended to a user of an online system. The online system communicates a basket opportunity to a group of retailers, wherein the basket opportunity defines a plurality of item categories each associated with a respective item to be included in a basket. The online system receives, from each retailer in response to the basket opportunity, a respective bid of a plurality of bids for the basket opportunity. The online system applies a computer model to each bid to determine a score for each bid and selects a winning bid for the user based on determined scores for the bids. For each item category, the online system populates the basket with a respective item from a catalog of a retailer that is associated with the winning bid. The online system then presents the basket with items to the user.