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公开(公告)号：US20240112247A1
公开(公告)日：2024-04-04
申请号：US18528738
申请日：2023-12-04
Applicant: Maplebear Inc.
Inventor： Reza Faturechi , Site Wang , Jagannath Putrevu
IPC: G06Q30/0601 , G06N3/084 , G06Q10/0633
CPC classification number: G06Q30/0635 , G06N3/084 , G06Q10/0633
Abstract: An online concierge identifies orders to shoppers, allowing shoppers to select orders for fulfillment. The online concierge system may generate batches that include multiple orders, allowing a shopper to select a batch to fulfill multiple orders. As orders are continuously being received, delaying identification of orders to shoppers may allow greater batching of orders. To allow greater opportunities for batching, the online concierge system estimates a benefit for delaying identification of an order by different time intervals and predicts an amount of time to fulfill the order. The online concierge system then delays assigning orders for which there is a threshold benefit for delaying and selects a time interval for delaying identification of the order that does not result in greater than a threshold likelihood of a late fulfillment of the order.
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公开(公告)号：US20240104569A1
公开(公告)日：2024-03-28
申请号：US17955228
申请日：2022-09-28
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Rohit Turumella , Yehonatah Afek , Chun-Che Wang , Leslie McFadden , Thomas Doan
CPC classification number: G06Q20/4016 , G06Q30/0617 , G06Q30/0635
Abstract: An online concierge system facilitates a checkout bypass process for shoppers. The online concierge system detects when the shopper procuring an order for a customer is ready to exit the warehouse after obtaining the items in the order. The online concierge system applies a trained risk model to automatically determining whether to initiate an audit of the shopper. Responsive to determining to initiate the audit, the online concierge system invokes an auditing process. The online concierge system receives, via an auditor application, verification of the order from the auditor mobile application. Responsive to the verification, the online concierge system completes the order and generates routing instructions via the shopper mobile application for facilitating delivery by the shopper to the customer.
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公开(公告)号：US20240104493A1
公开(公告)日：2024-03-28
申请号：US17935091
申请日：2022-09-24
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Reza Faturechi , Dylan Wang , Brian Duggan , Xianlei Qiu , Atul Gupte , Bing Hong Leonard How
CPC classification number: G06Q10/087 , G06Q10/06312 , G06Q10/0639
Abstract: An online concierge system generates order batches for pickers and offers those order batches. The online concierge system generates a set of candidate order batches, which are subsets of a received set of orders. The online concierge system generates a set of order batch scores for each of a set of candidate pickers, and offers the candidate order batches to the candidate pickers for the candidate pickers to service based on the set of order batch scores. If a candidate picker accepts the offered order batch, the online concierge system identifies candidate order batches with overlapping orders with the order batch accepted by the candidate picker, and rescinds the offer for each of the candidate pickers to service the order batches.
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公开(公告)号：US20240086984A1
公开(公告)日：2024-03-14
申请号：US18509143
申请日：2023-11-14
Applicant: Maplebear Inc.
Inventor： Tejaswi Tenneti , Aditya Subramanian , Shrikar Archak , Tyler Russell Tate , Jonathan Lennart Bender
IPC: G06Q30/0601 , G06F16/2457 , G06F16/248 , G06F16/901
CPC classification number: G06Q30/0617 , G06F16/24578 , G06F16/248 , G06F16/9024 , G06Q30/0625 , G06Q30/0629
Abstract: An online concierge system generates a graph connecting items with attributes of the items and other items. Hence, the graph includes nodes corresponding to attributes and nodes corresponding to items, with an item connected to attributes of the item in the graph. Example attributes include a brand, a category, a department, or any other suitable information about the item. When the online concierge system receives a search query to identify one or more items from a customer, the online concierge system parses the search query into combinations of terms and compares different combinations of terms to the graph to determine connections between different combinations of terms in the graph. Based on measures of connectedness between combinations of terms and connections in the graph, items are identified from one or more combinations of terms. Information about the identified items is presented to the customer.
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115.发明公开公开(公告)号：US20240070746A1
公开(公告)日：2024-02-29
申请号：US17899483
申请日：2022-08-30
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Girija Narlikar , Sharath Rao Karikurve
CPC classification number: G06Q30/0631 , G06N20/00 , G06Q30/0201 , G06Q30/0633
Abstract: A method implemented at a computer system includes, responsive to identifying an opportunity to present content to a target user, accessing a machine learning model trained on a dataset containing input features of a plurality of users and labels indicating openness metrics of the respective plurality of users. The machine learning model is then applied to a set of features of the target user to output an openness metric that predicts a loss in the target user's response rate when contextual relevance is not considered in selection of recommendation for the target user. A recommendation is then selected from a plurality of candidate recommendations based on the openness metric and sent for display to the target user.
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Patent Agency Ranking
116.发明公开公开(公告)号：US20240070393A1
公开(公告)日：2024-02-29
申请号：US17821889
申请日：2022-08-24
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Shishir Kumar Prasad , Cameron Nicholas Taylor , John Salaveria , Joey Loi , Kevin McCullough
IPC: G06F40/284 , G06Q30/06
CPC classification number: G06F40/284 , G06Q30/0621
Abstract: An online concierge system generates suggested instructions for presentation to a user. The online concierge system access instruction examples corresponding to a target item category and generates candidate instruction representations based on instruction messages within each instruction example. The online concierge system generates preliminary scores for the candidate instruction representations that are directly related to an intra-category frequency of use of the instruction tokens of the candidate instruction representation within the target item category. The online system normalizes these preliminary scores for the candidate instruction representations based on the inter-category frequency of use of the instruction tokens in all item categories to generate final scores for the candidate instruction representations. The online concierge system selects a set of instruction representations based on these final scores and generates suggested instructions based on the set of instruction representations.
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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
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.
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公开(公告)号：US20240037571A1
公开(公告)日：2024-02-01
申请号：US18485544
申请日：2023-10-12
Applicant: Maplebear Inc.
Inventor： Sean Cashin , Camille van Horne , Maksim Golivkin , Benjamin Peyrot
IPC: G06Q30/018
CPC classification number: G06Q30/0185
Abstract: An online concierge system for fraud detection in customer orders fulfilled by a picker. A picker client device, with an installed picker application, sends a first list of items related to a fulfilled customer order. Separately, a transaction log containing a second list of items purchased is received from the retailer's inventory system. These lists are compared to identify any unmatched items. A pretrained fraud detection model, trained on historical data with labeled instances of fraud or non-fraud, is applied to the unmatched items to assess the likelihood of fraud. If this likelihood surpasses a predefined threshold, the item is flagged as a fraudulent instance. This determination is then sent to an auditor client device for further action.
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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
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.
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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
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.
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