公开(公告)号：US20240054449A1

公开(公告)日：2024-02-15

申请号：US17936232

申请日：2022-09-28

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Lin Gao ,  Yilin Huang ,  Shiyuan Yang ,  Hao Wu ,  Ganglu Wu ,  Xiao Zhou

IPC: G06Q10/08 ,  G06V20/52

CPC classification number: G06Q10/087 ,  G06V20/52

Abstract: An online concierge system may use images received from shopping carts within retailers to determine the availability of items within those retailers. A shopping cart includes externally-facing cameras that automatically capture images of the area around the shopping cart as the shopping cart travels through a retailer. The online concierge system receives these images, which depict displays within the retailers from which a picker or a retailer patron can collect items. The online concierge system determines which items should be depicted in the images and which items are actually depicted in the images. The online concierge system identifies which items should be depicted, but are not depicted, and determines that these items are unavailable (e.g., out of stock) at that retailer. The online concierge system updates an availability database to indicate that these items are unavailable and may notify the retailer that the item is unavailable.

公开(公告)号：US20240034381A1

公开(公告)日：2024-02-01

申请号：US17936226

申请日：2022-09-28

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Lin Gao ,  Yilin Huang ,  Shiyuan Yang ,  Jianbo Meng ,  Yakun Li ,  Linhua Luo ,  Weiting Chen

IPC: B62B5/00 ,  B62B3/14 ,  G06Q30/06

CPC classification number: B62B5/0096 ,  B62B3/1424 ,  G06Q30/06

Abstract: An automated checkout system uses a shopping cart that is automatically charged when stacked into another shopping cart. Each shopping cart has a front charging connector and a rear charging connector. When a first shopping cart is stacked into a second shopping cart, the front charging connector of the first shopping cart connects with the rear charging connector of the second shopping cart. Electrical power can flow to the first shopping cart via the second shopping cart to charge a battery of the first shopping cart. The second shopping cart may be similarly stacked into a third shopping cart, wherein the second shopping cart receives electrical power from the third shopping cart. The second shopping cart may use this electrical power to charge its own battery or may provide some or all of the electrical power to the first shopping cart to charge the first shopping cart's battery.

公开(公告)号：US20240013185A1

公开(公告)日：2024-01-11

申请号：US17874987

申请日：2022-07-27

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Lin Gao ,  Yilin Huang ,  Shiyuan Yang ,  Ganglu Wu ,  Yang Wang ,  Wentao Pan

IPC: G06Q20/20 ,  G06V10/80 ,  G01G19/40 ,  G01G19/12

CPC classification number: G06Q20/208 ,  G06V10/803 ,  G01G19/40 ,  G01G19/12

Abstract: A smart shopping cart includes internally facing cameras and an integrated scale to identify objects that are placed in the cart. To avoid unnecessary processing of images that are irrelevant, and thereby save battery life, the cart uses the scale to detect when an object is placed in the cart. The cart obtains images from a cache and sends those to an object detection machine learning model. The cart captures and sends a load curve as input to the trained model for object detection. Labeled load data and labeled image data are used by a model training system to train the machine learning model to identify an item when it is added to the shopping cart. The shopping cart also uses weight data and the image data from a timeframe associated with the addition of the item to the cart as inputs.

公开(公告)号：US20240005381A1

公开(公告)日：2024-01-04

申请号：US17855788

申请日：2022-06-30

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Sonali Deepak Chhabria ,  Xiangyu Wang ,  Aman Jain ,  Ganesh Krishnan ,  Trace Levinson ,  Jian Wang

IPC: G06Q30/06 ,  G06Q10/06 ,  G06Q10/08 ,  G01C21/34

CPC classification number: G06Q30/0635 ,  G06Q10/06311 ,  G06Q10/087 ,  G01C21/3407

Abstract: An online concierge system includes a marketplace automation engine for setting various control parameters affecting marketplace operation. The marketplace automation engine applies a hyperparameter learning model to the marketplace state data to predict a set of hyperparameters affecting a set of respective parameterized control decision models. The hyperparameter learning model is trained on historical marketplace state data and a configured outcome objective for the online concierge system. The marketplace automation engine independently applies the set of parameterized control decision models to the marketplace state data using the hyperparameters to generate a respective set of control parameters affecting marketplace operation of the online concierge system. The marketplace automation engine applies the respective set of control parameters to operation of the online concierge system.

公开(公告)号：US20240001981A1

公开(公告)日：2024-01-04

申请号：US17873526

申请日：2022-07-26

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Lin Gao ,  Yilin Huang ,  Shiyuan Yang ,  Xiaofei Zhou ,  Kaiyang Chu ,  Sikun Zhu

IPC: B62B5/00 ,  B62B3/14 ,  H04W4/029

CPC classification number: B62B5/0096 ,  B62B3/1424 ,  H04W4/029

Abstract: A shopping cart's tracking system determines a first baseline location of the shopping cart at a first timestamp with a wireless device located on the shopping cart detecting one or more external wireless devices (e.g., RFID tags) in the indoor environment. The shopping cart's tracking system receives wheel motion data from one or more wheel sensors coupled to one or more wheels of the shopping cart, wherein the wheel motion data describes rotation of the one or more wheels. The shopping cart's tracking system calculates a translation traveled by the shopping cart from the first baseline location based on the wheel motion data. The shopping cart's tracking system determines an estimated location of the shopping cart at a second timestamp based on the first baseline location and the translation. With the estimated location, the shopping cart can update a map with the estimated location of the shopping cart.

公开(公告)号：US20230385875A1

公开(公告)日：2023-11-30

申请号：US17824696

申请日：2022-05-25

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Leho Nigul

IPC: G06Q30/02

CPC classification number: G06Q30/0255 ,  G06Q30/0261 ,  G06Q30/0242

Abstract: A shopping cart system detects the initiation of a shopping session within a physical retail store by a customer, in which the shopping cart system includes a shopping cart, a processor, a memory, and a set of sensors. Contextual information associated with the shopping cart received by the sensors during the shopping session is tracked, in which the contextual information describes one or more locations of the shopping cart within the store, a state of the shopping cart, and a set of items within the shopping cart. Responsive to identifying an opportunity to present content to the customer based on the contextual information, the system identifies a set of content items associated with one or more items within the store based on the contextual information. The system generates a user interface including the set of content items and sends the user interface to a display area associated with the customer.

公开(公告)号：US20230377020A1

公开(公告)日：2023-11-23

申请号：US17751521

申请日：2022-05-23

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Nathan Bauer

IPC: G06Q30/06 ,  G06Q20/20

CPC classification number: G06Q30/0631 ,  G06Q30/0641 ,  G06Q20/20

Abstract: An automated checkout system automatically establishes sessions between users and shopping carts by correlating action events with distances of the user's client device to the shopping cart. The automated checkout system determines the client device's distance from the shopping cart at timestamps when an action event occurs with respect to the shopping cart. If the distances and the action events are correlated, the system establishes a session between the user and the shopping cart. Additionally, the automated checkout system attributes target actions to recipe suggestions. The automated checkout system displays a recipe suggestion to a user on a display of a shopping cart, and identifies an item added to the shopping cart. If the added item matches an item in the set of recipes, the automated checkout system applies an attribution model that determines whether to attribute a target action that relates to the item with the recipe suggestion.

公开(公告)号：US20230351465A1

公开(公告)日：2023-11-02

申请号：US17731608

申请日：2022-04-28

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Konrad Gustav Miziolek ,  Bryan Daniel Bor

IPC: G06Q30/06 ,  G06N20/20 ,  G06Q30/02

CPC classification number: G06Q30/0617 ,  G06Q30/0625 ,  G06N20/20 ,  G06Q30/0206

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：US20230316350A1

公开(公告)日：2023-10-05

申请号：US17853619

申请日：2022-06-29

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Benjamin Knight ,  Benjamin Peyrot ,  Djordje Gluhovic ,  Rohit Turumella ,  Alice Han

IPC: G06Q30/04 ,  G06Q20/20 ,  G06Q40/00

CPC classification number: G06Q30/04 ,  G06Q20/207 ,  G06Q40/10

Abstract: An online concierge system requests an image of a receipt of an order from a picker after the picker fulfills the order at a store. The online concierge system performs image processing on the image of the receipt and uses machine learning and optical character recognition to determine a tax amount paid for the order and a confidence score associated with the tax amount. The online concierge system may use the machine learning model for segmenting extracted text in the image of the receipt into tokens. The online concierge system may then determine at least one token associated with a tax item and the tax amount associated with the tax item. The online concierge system communicates the tax amount to the store for reimbursement based on the tax amount and the confidence score.

公开(公告)号：US20230306023A1

公开(公告)日：2023-09-28

申请号：US17668358

申请日：2022-02-09

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Taesik Na ,  Yuqing Xie ,  Tejaswi Tenneti ,  Haixun Wang

IPC: G06F16/2453 ,  G06F16/2457 ,  G06F16/242 ,  G06F16/28 ,  G06N20/00 ,  G06K9/62

CPC classification number: G06F16/24534 ,  G06F16/2448 ,  G06F16/24578 ,  G06F16/283 ,  G06K9/6257 ,  G06N20/00

Abstract: An online concierge system maintains various items and an item embedding for each item. When the online concierge system receives a query for retrieving one or more items, the online concierge system generates an embedding for the query. The online concierge system trains a machine-learned model to determine a measure of relevance of an embedding for a query to item embeddings by generating training data of examples including queries and items with which users performed a specific interaction. The online concierge system generates a subset of the training data including examples satisfying one or more criteria and further trains the machine-learned model by application to the examples of the subset of the training data and stores parameters resulting from the further training as parameters of the machine-learned model.