公开(公告)号：US20220292568A1

公开(公告)日：2022-09-15

申请号：US17196879

申请日：2021-03-09

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： William Silverthorne Faurot, III ,  Tyler Russell Tate

IPC: G06Q30/06 ,  G06N20/00 ,  G06F16/2457

Abstract: An online system receives a recipe from a customer mobile device. The online system performs natural language processing on the recipe to determine parsed ingredients. For each of one or more of the determined parsed ingredients, the online system maps the parsed ingredient to a generic item. The online system queries a product database with the mapped generic item to obtain one or more products associated with the mapped generic item. The online system applies a machine-learned conversion model to each of the one or more products to determine a conversion likelihood for the product. The conversion model may be trained based on historical data describing previous conversions made by customers presented with an opportunity to add products to an order. The online system selects a product from the one or more products based on the determined conversion likelihoods and adds the selected product to an order.

公开(公告)号：US20220261744A1

公开(公告)日：2022-08-18

申请号：US17178183

申请日：2021-02-17

Applicant: Maplebear, Inc. (DBA Instacart)

Inventor： Anastasija Kovalova ,  Neera Chatterjee

IPC: G06Q10/08 ,  G06F21/31

Abstract: An online system receives, from a customer mobile application (CMA) an order including a high-value item determines that the order includes the high-value item. The online system transmits an indication that the order includes the high-value item to a delivery mobile application (DMA). The DMA transmits a real-time location of a client device of a delivery agent to the online system. Responsive to determining that the delivery agent is at a delivery location, the online system transmits an indication to the DMA to display a user interface including an interactive element for requesting a signature from a customer. Responsive to receiving an indication of an interaction with the interactive element, the online system transmits an indication to the CMA to display a user interface with a signature element. The CMA transmits a signature received via the signature element to the online system, which stores the signature as verification information.

公开(公告)号：US20220215061A1

公开(公告)日：2022-07-07

申请号：US17142038

申请日：2021-01-05

Applicant: Maplebear Inc.

Inventor： Leho Nigul

IPC: G06F16/9535 ,  G06F16/2457 ,  G06F16/9538 ,  G06N20/00

Abstract: An online recommendation system can choose recipes to recommend to a customer based on a set of ingredients the customer is inferred to have on hand (a customer pantry model). For example, the recommendation system can look at recent or historical purchases made by the customer and determine what items the customer still has available based on an assumed shelf life for the purchased items. Using the customer pantry model, the recommendation system selects recipes based on overlapping ingredients between recipe's ingredient lists and ingredients available to the customer (including the customer pantry model and their current shopping cart). In some implementations, the recommendation system first selects a set of candidate recipes based on the overlap, then selects the final set of recipes to recommend based on a score optimization (for example, performed using a machine learning model).

公开(公告)号：US11314836B1

公开(公告)日：2022-04-26

申请号：US17180547

申请日：2021-02-19

Applicant: Maplebear, Inc.

Inventor： Ogden Kent ,  Benjamin David Bader ,  Jeffrey Bernard Arnold

IPC: G06F16/958 ,  G06F16/957 ,  G06F11/34 ,  G06F40/143

Abstract: A variation testing system environment for performing variation testing of web pages and applications is disclosed. The variation testing system applies a weighted consistent hash function to user attributes of users to assign the users to a variant of a web page that is undergoing experimentation. The usage of the weighted consistent hash function allows for a stable experimental population.

公开(公告)号：US20220114640A1

公开(公告)日：2022-04-14

申请号：US17069741

申请日：2020-10-13

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Abhay Pawar

IPC: G06Q30/06 ,  G06Q30/02 ,  G06N20/00

Abstract: An online concierge system maintains a graph of items available for purchase. The graph maintains edges between items, where an edge between an item and an additional item indicates that one or more customers have previously replaced the item with the additional item. The edge between the item and the additional item also identifies a number of times customers have replaced the item with the additional item. When a customer orders an item, the online concierge system traverses the graph of items to identify candidate replacement items for the ordered item and identifies one or more of the candidate replacement items to the customer. When identifying the candidate replacement items, the online concierge system accounts for distance between the ordered item and different candidate replacement items in the item graph.

公开(公告)号：US20210233319A1

公开(公告)日：2021-07-29

申请号：US17227346

申请日：2021-04-11

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Carlos H. Cardonha ,  Fernando L. Koch ,  James R. Kraemer

IPC: G06T19/00 ,  G06F16/29 ,  G06F16/2455 ,  G06F16/583 ,  G06F16/58 ,  G06F16/9537 ,  G06F16/955 ,  G06K9/52 ,  G06K9/62 ,  G09G5/00

Abstract: A method for tag-based search includes capturing an image, extracting a tag from the image, identifying a location associated with the captured image, and querying stored content for information that matches the location and the tag. Local storage is checked for the information first, and remote storage may be checked subsequently. Any located information may be used to augment the image. Information located in the remote storage may be saved in the local storage until it reaches a certain age, until it fails to be accessed for a threshold period of time, or until the location moves outside a threshold radius associated with a location of the information located in the remote storage.

公开(公告)号：US20210133665A1

公开(公告)日：2021-05-06

申请号：US16670447

申请日：2019-10-31

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Daniel Hsiao ,  Jason Scott ,  Michael Jablonski ,  Nima Zahedi

IPC: G06Q10/08 ,  G06Q10/10 ,  H04W4/021 ,  H04W68/00 ,  H04W4/029

Abstract: An online concierge system receives an order from a customer. The online concierge system transmits a notification to the customer's client device indicating that the order is ready for pick up and receives location data from the customer's client device as the customer travels to a pickup location. In response to the online concierge system receiving a first indication that the customer has entered an outer geofence, the online concierge system transmits a second notification to a runner's client device that the customer is in transit. In response to the online concierge system receiving a second indication that the customer has entered an inner geofence, the online concierge system starts a timer. When the online system receives a confirmation that the order has been picked up by the customer, it stops the timer and computes a wait time for pick up of the order.

公开(公告)号：US10818186B2

公开(公告)日：2020-10-27

申请号：US15787286

申请日：2017-10-18

Applicant: Maplebear, Inc.

Inventor： Mathieu Ripert ,  Jagannath Putrevu ,  Deepak Tirumalasetty ,  Bala Subramanian ,  Andrew Kane

IPC: G08G1/00 ,  G06Q10/08 ,  G06Q30/06 ,  G06Q10/06 ,  G05D1/02 ,  G06Q20/32 ,  G01C21/34 ,  B65G1/137 ,  B65G1/04

Abstract: An online shopping concierge system identifies a set of delivery orders and a set of delivery agents associated with a location. The system allocates the orders among the agents, each agent being allocated at least one order. The system obtains agent progress data describing travel progress of the agents to the location, and order preparation progress data describing progress of preparing the orders for delivery. The system periodically updates the allocation of the orders among the agents based on the agent progress data and the order preparation progress data. This involves re-allocating at least one order to a different delivery agent. When a first agent arrives at the location, the system assigns to the first agent the orders allocated to the first agent. The system then removes the first agent from the set of available delivery agents, and removes the assigned delivery orders from the set of delivery orders.

公开(公告)号：US20250156926A1

公开(公告)日：2025-05-15

申请号：US18943691

申请日：2024-11-11

Applicant: Maplebear Inc.

Inventor： Haixun Wang ,  Shrikar Archak ,  Tejaswi Tenneti

IPC: G06Q30/0601 ,  G06F16/9535 ,  G06F16/955 ,  G06Q30/08

Abstract: An online system receives a user request from a client device through the interface, identifies one or more featured products based on the query, and generates a prompt for input to a machine-learned generative language model. The prompt specifies both the user's request and a request to suggest the featured products in association with a response to the user request. This prompt is fed into a machine-learned language model via a model serving system for execution. The online system receives a response generated by the model, generates a query response based on the response generated by the model, and transmits instructions to the client device to display the query response. The online system collects data on user interactions with the uses the collected data to fine-tune the machine-learned generative language model.

公开(公告)号：US20250139728A1

公开(公告)日：2025-05-01

申请号：US18498445

申请日：2023-10-31

Applicant: Maplebear Inc.

Inventor： Roman Havran ,  Satish Kumar Reddy Kancherla ,  Chen Zhang ,  Sai Kannan Sampath ,  Youdan Xu ,  Yuan Gao

IPC: G06Q50/30 ,  G01C21/00 ,  G06Q30/0601

Abstract: A concierge system identifies retail locations within a distance of a picker client device of a picker. This distance defines a zone and the system provides a map of the zone for display within a picker client application. For each retail location in the zone, the system determines a batch volume for the retail location and an average batch volume for the zone and generates a batch availability score using a model trained on batch volumes for the retail location and batch volume for the zone. The batch availability score can be a value reflecting batch availability or busyness of the retail location relative to other retail locations or can be a wait time prediction in minutes until the picker receives a batch at the retail location. The system modifies how the retail locations are displayed on the map to emphasize those with batch availability scores above a threshold value.