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161.发明公开公开(公告)号：US20240152936A1
公开(公告)日：2024-05-09
申请号：US17982941
申请日：2022-11-08
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Tim Hesterberg , Rahul Makhijani
IPC: G06Q30/02
CPC classification number: G06Q30/0201
Abstract: Test periods for an A/B test to be run in one or more geographic regions are set. Each test period in each geographic region is assignable to a treatment or control group. For each of plural test periods other than a first test period and for each geographic region, a biased probability indicating a probability of the test period being assigned to the treatment group of the A/B test is set. The biased probability is set based on a log of previous assignments for the geographic region indicating respective assignments for each previous test period including the first test period. The test period of the geographic region is assigned to one of the treatment and control groups of the A/B test based on the set biased probability. The A/B test is run in the geographic region and during the test period based on the assignment.
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162.发明公开公开(公告)号：US20240144173A1
公开(公告)日：2024-05-02
申请号：US17977734
申请日：2022-10-31
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Karuna Ahuja , Girija Narlikar , Sneha Chandrababu , Gowri Rajeev , Lan Wang , Chakshu Ahuja , Sonal Jain
CPC classification number: G06Q10/087 , G06K7/10366 , G06K7/1417 , G06Q30/0202 , G06Q30/0623
Abstract: An online concierge system detects acquired items included among an inventory of a customer and identifies one or more candidate available items from the acquired items based on a predicted perishability of each item and a predicted amount of each item that was used. The system retrieves recipes, matches the item(s) likely to be available to a set of recipes based on their ingredients, and identifies any remaining items for each matched recipe not likely to be available. The system retrieves a set of attributes associated with the customer and the set of recipes and computes a suggestion score for each recipe based on the attributes. The system ranks the recipes based on their scores, identifies one or more recipes for suggesting to the customer based on the ranking, and sends the recipe(s) and any remaining items for each recipe to a client device associated with the customer.
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公开(公告)号：US20240104458A1
公开(公告)日：2024-03-28
申请号：US17955407
申请日：2022-09-28
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Wa Yuan , Jae Cho , Yijia Chen , Houtao Deng , Soren Zeliger , Aman Jain , Jian Wang , Ji Chen
CPC classification number: G06Q10/063116 , G06N5/022 , G06Q10/06393 , G06Q30/0637
Abstract: An online concierge system determines a quantity of a resource available in a timeslot to fulfill orders during the timeslot. The orders include immediate orders placed during the timeslot and scheduled orders that are scheduled for fulfillment during the timeslot. The online concierge system applies the quantity of the resource to a machine learning model to produce a predicted relationship between a value of a fulfillment metric and an allocation of the quantity of the resource reserved for immediate orders. The online concierge system determines, based on the predicted relationship, an expected optimal allocation of the quantity of the resource that maximizes the fulfillment metric. The online concierge system reserves the expected optimal allocation of the quantity of the resource for immediate orders.
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164.发明公开公开(公告)号：US20240070742A1
公开(公告)日：2024-02-29
申请号：US17894839
申请日：2022-08-24
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Saurav Manchanda , Min Xie , Gordon McCreight , Jonathan Newman
IPC: G06Q30/06 , G06F16/56 , G06F16/903 , G06F40/166 , G06F40/284 , G06F40/30 , G06Q30/02
CPC classification number: G06Q30/0629 , G06F16/56 , G06F16/90344 , G06F40/166 , G06F40/284 , G06F40/30 , G06Q30/0201
Abstract: A server receives a plurality of product data entries from a plurality of retailer computing systems. Each product data entry includes a product identifier uniquely identifying a corresponding physical product and descriptive data of the corresponding physical product. A subset of the plurality of product data entries having a same product identifier is determined. An embedding vector representative of a product data entry in the subset is pairwise compared with each of respective embedding vectors representative of other product data entries in the subset other than the product data entry to compute respective vector similarity metrics. A pooled semantic similarity metric for the product data entry based on the computed respective vector similarity metrics. It is determined whether the product data entry is an outlier in the subset based on the pooled semantic similarity metric. A notification is transmitted to a client device of a user based on the determination.
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165.发明公开公开(公告)号：US20240070609A1
公开(公告)日：2024-02-29
申请号：US17893940
申请日：2022-08-23
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Nicholas Petrielli , Richard Bartholomew , Vinay Nagar , Chaman Thapa
IPC: G06Q10/08
CPC classification number: G06Q10/087 , G06Q10/0833 , G06Q10/08355
Abstract: An online concierge system facilitates procurement and delivery of items for customers using a network of shoppers. The online concierge system includes a restocking management engine that obtains restocking information associated with unavailable items and delivers relevant notifications to customers and/or retailers relevant to restocking information. Responsive to an item availability model predicting an item will be unavailable at a requested order fulfillment time, the online concierge system obtains item tracking information and determines if the item will be restocked within a predefined time period. If the item is expected to be restocked in the near future, the online concierge system may present a notification to a customer application enabling the customer to change the order fulfillment time to a later time when the item is expected to be available.
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Patent Agency Ranking
公开(公告)号：US20240070605A1
公开(公告)日：2024-02-29
申请号：US17897045
申请日：2022-08-26
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Shuai Wang , Zi Wang , Ganesh Krishnan , Houtao Deng , Aman Jain , Jian Wang
CPC classification number: G06Q10/0838 , G06N5/022 , G06Q10/06393 , G06Q30/0617
Abstract: An online concierge system provides arrival prediction services for a user placing an order to be retrieved by a shopper. An order may have a predicted arrival time predicted by a model that may err under some conditions. To reduce the likelihood of providing the predicted arrival time (and related services) when the arrival time may be incorrect, the prediction model and related services are throttled (e.g., selectively provided) based on one or more predicted delivery metrics, which may include a time to accept the order by a shopper and a predicted portion of late orders that will be delivered past the respective predicted arrival times. The predicted delivery metrics are compared with thresholds and the result of the comparison used to selectively provide, or not provide, the predicted delivery services.
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公开(公告)号：US20240070603A1
公开(公告)日：2024-02-29
申请号：US17899977
申请日：2022-08-31
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Jagannath Putrevu , Haochen Luo , Xiangpeng Li , Rishab Saraf
CPC classification number: G06Q10/08355 , G06F16/29 , G06Q30/0205
Abstract: A grid is created for a map of a geographic region based on a location planning request received from a user device. A plurality of candidate cells are identified from among a plurality of cells of the grid. Each of the candidate cells including a candidate location for a warehouse. Respective isochrones are generated relative to the candidate locations of the plurality of candidate cells based on a delivery time threshold indicated in the location planning request. Respective isochrone scores are determined for the generated isochrones based at least on data indicating a past volume of sales in the isochrone. Based on the respective isochrone scores of the candidate locations, a subset of the candidate locations is selected as a recommended set of locations for warehouses to cover the geographic region. A notification indicating the recommended set of locations is transmitted to the user device.
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公开(公告)号：US20240070210A1
公开(公告)日：2024-02-29
申请号：US17899441
申请日：2022-08-30
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Ramasubramanian Balasubramanian , Taesik Na , Karuna Ahuja
IPC: G06F16/9532 , G06Q30/06
CPC classification number: G06F16/9532 , G06Q30/0631
Abstract: A computer-implemented method for suggesting keywords as a search term of a content item includes receiving, from a content provider, information about the content item in a database of content items. The method further includes generating a set of seed keywords related to the content item, and expanding the set of seed keywords to a plurality of candidate keywords. The plurality of candidate keywords are then scored based, at least in part, on an engagement metric measuring a user engagement with the content item in response to being presented with results from a search query comprising the candidate keyword. A candidate keyword is then selected from the plurality of candidate keywords based on the scoring, and stored relationally to the content item to define an audience for a recommendation about the content item, providing a suggestion to the content provider.
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公开(公告)号：US20240037588A1
公开(公告)日：2024-02-01
申请号：US17877758
申请日：2022-07-29
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Rockson Chang , Licheng Yin , Chen Zhang , Michael Chen , Aaron Dou , Radhika Anand , Nicholas Sturm , Ajay Sampat
CPC classification number: G06Q30/0205 , G06Q10/0836 , G06Q10/0635 , G06Q30/0222
Abstract: The present disclosure is directed to determining shopper-location pairs. In particular, the methods and systems of the present disclosure may identify a set of available shoppers associated with an online shopping concierge platform and located in a geographic area; identify a set of available warehouse locations associated with the online shopping concierge platform and located in the geographic area; and determine, based at least in part on the set of available shoppers, the set of available warehouse locations, and one or more machine learning (ML) models, a set of shopper-location pairs optimized based at least in part on time required by the set of available shoppers to travel from their respective current locations to one or more of the set of available warehouse locations.
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公开(公告)号：US20240003707A1
公开(公告)日：2024-01-04
申请号：US17873528
申请日：2022-07-26
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Lin Gao , Yilin Huang , Shiyuan Yang , Xiaofei Zhou , Kaiyang Chu , Sikun Zhu
CPC classification number: G01C21/383 , G01C21/16 , G01S5/0036 , G07C5/04
Abstract: A shopping cart's tracking system receives wheel motion data from a plurality of wheel sensors coupled to a plurality of wheels of the shopping cart, wherein the wheel motion data describes rotation of the plurality of wheels and orientation of the plurality of wheels. The tracking system predicts an estimated location of the shopping cart by applying a machine-learning location model to the wheel motion data. The machine-learning location model is trained with training examples that are generated by: receiving prior wheel motion data from the plurality of wheel sensors, partitioning the prior wheel motion data into a plurality of segments using a time window, receiving one or more baseline locations at one or more prior timestamps, and generating one or more training examples, each training example comprising a segment of prior wheel motion data and a baseline location with a timestamp overlapping the segment.
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