公开(公告)号：US20220284491A1

公开(公告)日：2022-09-08

申请号：US17191134

申请日：2021-03-03

Applicant: Maplebear, Inc.(dba Instacart)

Inventor： Chao Qu

IPC: G06Q30/06 ,  G06F16/953 ,  G06Q10/08 ,  G06Q30/02

Abstract: An online concierge system maintains an item catalog maintaining a hierarchical taxonomy of the items. Using the hierarchical taxonomy, the online concierge system selects a cohort of items. For the cohort, the online concierge system selects an attribute and generates a distribution of values of the attribute across items in the cohort. From the distribution, the online concierge system identifies one or more items having values for the attributes that are outliers. The online concierge system may provide the identified one or more items to users for manual review to identify possible errors in the item catalog. The data regarding whether manual review identified errors is saved by the online converge system for later use as labels to train a machine learning model for detecting errors.

公开(公告)号：US20220277373A1

公开(公告)日：2022-09-01

申请号：US17188214

申请日：2021-03-01

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Jonathan Lennart Bender ,  Tyler Russell Tate ,  Tejaswi Tenneti ,  Aditya Subramanian

IPC: G06Q30/06 ,  G06F17/18 ,  G06F16/901

Abstract: An online concierge system generates an item graph connecting item nodes with attribute nodes of the items. 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 identifies item nodes and attribute nodes related to the search query. The online concierge system may determine that no item nodes meet presentation criteria. The online concierge system may determine that a reformulated search query has a higher conversion probability than the search query received from the customer. The online concierge system reformulates the search query. The online concierge system selects item nodes as search results. The online concierge system transmits the search results to the customer.

公开(公告)号：US20220270027A1

公开(公告)日：2022-08-25

申请号：US17180395

申请日：2021-02-19

Applicant: Maplebear, Inc. (DBA Instacart)

Inventor： Conor Edward Woods ,  Kevin Michael Henrikson ,  Teodor Lefter

IPC: G06Q10/08 ,  H04W4/024 ,  G06F16/44

Abstract: An online system receives, scans from a plurality of picker client devices. Each scan comprises an item identifier and a location in a store where the item was scanned. The online system creates a map of the store based on location data received from a picker client device as a picker moves around the store. Using the map and the scans, the online system builds a planogram of the store. The planogram comprises a mapping of a plurality of locations in the store to one or more items at each of the plurality of locations. The online system receives an order of items to be fulfilled at the store from a customer client device and determines location information describing locations of the items in the store based on the planogram. The online system transmits, to a picker mobile device, the location information for display.

公开(公告)号：US20190304004A1

公开(公告)日：2019-10-03

申请号：US15943507

申请日：2018-04-02

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： David Schwantes ,  Denise Hoi Shuen Leung

IPC: G06Q30/06 ,  G06Q30/02 ,  G06Q20/36 ,  G06Q20/10 ,  G06Q10/08

Abstract: An online concierge system receives an order from a customer with a list of items and allocates the order to a retailer at which the items can be picked. The retailer is associated with a payment processing system having a corresponding tokenization process. The online concierge system uses the tokenization process for the retailer to generate a payment token for the customer based on stored payment data and transmits the payment token to the payment processing system. The online concierge system determines a first payment amount from the customer to the retailer based on items picked at the retailer and a second payment amount from the retailer to the online concierge system. The payment processing system charges the customer a sum of the first payment amount and the second payment amount using the payment token. The online concierge system receives the second payment amount from the payment processing system.

公开(公告)号：US20250095055A1

公开(公告)日：2025-03-20

申请号：US18965960

申请日：2024-12-02

Applicant: Maplebear Inc. (dba Instacart)

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：US20240428320A1

公开(公告)日：2024-12-26

申请号：US18213756

申请日：2023-06-23

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Rebecca Riso ,  Bo Xu ,  Kenneth Jason Sanchez ,  Ashish Sinha ,  Chencheng Wu

IPC: G06Q30/0601 ,  G06Q20/40

Abstract: An online system receives a request to confirm a transaction that is associated with an order. The system accepts or declines the transaction based on whether an amount associated with the pending transaction is likely to exceed an expected amount of the order by more than a threshold value. To determine the threshold, the system trains a first model to predict an overspend for an order and then trains a second model to predict an amount of error associated with the predictions from the first model. The outputs of the first model and the second model provide a mean and a variance for an expected distribution of the overspend. If the actual overspend amount for the transaction exists in too high of a percentile of the distribution, the transaction may be flagged for review or declined.

公开(公告)号：US20240403938A1

公开(公告)日：2024-12-05

申请号：US18326900

申请日：2023-05-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Tilman Drerup ,  Shishir Kumar Prasad ,  Zoheb Hajiyani ,  Luis Manrique

IPC: G06Q30/0601 ,  G06N20/00

Abstract: An online system predicts replacement items for presentation to a user using a machine-learning model. The online system receives interaction data describing a user's interaction with the online system. In particular, the interaction data describes an initial item that the user added to their item list. The online system identifies a set of candidate items that could be presented to the user as potential replacements for the initially-added item. The online system applies a replacement prediction model to each of these candidate items to generate a replacement score for the candidate items. The online system selects a proposed replacement item and transmits that item to the user's client device for display to the user. If the user selects the proposed replacement item, the online concierge system replaces the initial item with the proposed replacement item in the user's item list.

公开(公告)号：US20240403929A1

公开(公告)日：2024-12-05

申请号：US18204207

申请日：2023-05-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Tilman Drerup ,  Zhida Gui ,  Michael Kurish

IPC: G06Q30/0601 ,  G06Q10/0631 ,  G06Q10/0639

Abstract: An online system, such as a concierge service, provides services to users using a set of limited resources. To allocate the limited resources of the system among the users, the system uses a model to predict each user's sensitivity to different levels of service. An allocation module then allocates the limited resources among a set of users based in part on the estimated sensitivities and the supply of available resources.

公开(公告)号：US20240403907A1

公开(公告)日：2024-12-05

申请号：US18204074

申请日：2023-05-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Lukasz Czekaj ,  Joseph Olivier ,  Mark Ding ,  Mathieu Hartvick ,  Kenny Hwu ,  Yiheng Wang ,  Domenico Matteo

IPC: G06Q30/0207 ,  G06Q30/0601

Abstract: Embodiments relate to automatic determination of a directed spend program eligibility for items offered by retailers associated with an online system. The online system provides inputs into a computer model, where the inputs include information about at least one property for each candidate item in a set of candidate items and at least one requirement for a directed spend program. The online system applies the computer model to generate, based on the inputs, an output that comprises an indication of an eligibility for each candidate item in the set for the at least one directed spend program. The online system sends a message causing a device of a user of the online system to display a user interface including an option for the user to add into a cart at least one of the candidate items determined to be eligible for the directed spend program.

公开(公告)号：US20240403812A1

公开(公告)日：2024-12-05

申请号：US18203578

申请日：2023-05-30

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Liang Chen ,  Xiangyu Wang ,  Houtao Deng ,  Ganesh Krishnan ,  Kevin Charles Ryan ,  Aman Jain ,  Jian Wang

IPC: G06Q10/0834 ,  G06Q10/083 ,  G06Q10/0833 ,  G06Q30/0601

Abstract: An online concierge system generates a set of candidate estimated times of arrival (ETAs) for delivery of a set of items being purchased by a user. Each candidate ETA is scored by using a machine-learned model to estimate values for different criteria of interest, such as likelihood of acceptance of the ETA, cost of delivery of the items to the user, and the like. The values for the different criteria may be combined to generate the overall score for a candidate ETA. One or more of the highest-scoring ETAs are selected and provided to the user, who may then approve one of the ETAs for use with delivery of the user's set of items.