公开(公告)号：EP4500437A1

公开(公告)日：2025-02-05

申请号：EP22944011.0

申请日：2022-11-08

Applicant: Maplebear Inc.

Inventor： NIGUL, Leho

IPC: G06Q30/06

公开(公告)号：AU2022468820A1

公开(公告)日：2025-02-20

申请号：AU2022468820

申请日：2022-07-06

Applicant: MAPLEBEAR INC

Inventor： GAO LIN ,  HUANG YILIN ,  YANG SHIYUAN ,  WU GANGLU ,  WANG YANG ,  PAN WENTAO ,  ZHOU XIAOFEI ,  LUO YOUMING

IPC: G06Q20/18 ,  A47F9/04 ,  G06K11/00

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：CA223128S

公开(公告)日：2025-01-03

申请号：CA223128

申请日：2023-07-26

Applicant: MAPLEBEAR INC DBA INSTACART

公开(公告)号：CA3117183A1

公开(公告)日：2022-10-14

申请号：CA3117183

申请日：2021-05-05

Applicant: MAPLEBEAR INC DBA INSTACART

Inventor： PRASAD SHISHIR KUMAR ,  RAO KARIKURVE SHARATH ,  GOYRET DIEGO

IPC: G06Q10/08 ,  G06N20/00 ,  G06Q30/02

Abstract: An online concierge system allows users to order items from a warehouse having multiple physical locations, allowing a user to order items at any given warehouse location. To select a warehouse location for a warehouse selected by a user, the online concierge system identifies a set of items that the user has a threshold likelihood of purchasing from prior orders by the user. For each of a set of warehouse locations, the online concierge system applies a machine-learned item availability model to each item of the identified set. From the availabilities of items of the set at each warehouse location of the set, the online concierge system selects a warehouse location. The online concierge system identifies an inventory of items from the selected warehouse location to the user for inclusion in an order.

公开(公告)号：AU2020376774A1

公开(公告)日：2022-05-26

申请号：AU2020376774

申请日：2020-10-26

Applicant: MAPLEBEAR INC DBA INSTACART

Inventor： HSIAO DANIEL ,  SCOTT JASON ,  JABLONSKI MICHAEL ,  ZAHEDI NIMA

IPC: G06Q10/08 ,  G06Q10/10

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：AU2019314201B2

公开(公告)日：2021-04-08

申请号：AU2019314201

申请日：2019-06-25

Applicant: MAPLEBEAR INC DBA INSTACART

Inventor： HSIEH JONATHAN ,  GOTHE OLIVER ,  STANLEY JEREMY

IPC: G06K9/46 ,  G06K9/66 ,  G06N3/08 ,  G06Q10/08 ,  G06T7/00

Abstract: A method for populating an inventory catalog includes receiving an image showing an item in the inventory catalog and comprising a plurality of pixels. A machine learned segmentation neural network is retrieved to determine location of pixels in an image that are associated with an image label and the property. The method determines a subset of pixels associated with the item label in the received image and identifies locations of the subset of pixels of the received image, and extracts the subset of pixels from the received image. The method retrieves a machine learned classifier to determine whether an image shows the item label. The method determines, using the machine learned classifier, that the extracted subset of pixels shows the item label. The method updates the inventory catalog for the item to indicate that the item has the property associated with the item label.

公开(公告)号：AU2019314201A1

公开(公告)日：2021-03-18

申请号：AU2019314201

申请日：2019-06-25

Applicant: MAPLEBEAR INC DBA INSTACART

Inventor： HSIEH JONATHAN ,  GOTHE OLIVER ,  STANLEY JEREMY

IPC: G06K9/46 ,  G06K9/66 ,  G06T7/00

Abstract: A method for populating an inventory catalog includes receiving an image showing an item in the inventory catalog and comprising a plurality of pixels. A machine learned segmentation neural network is retrieved to determine location of pixels in an image that are associated with an image label and the property. The method determines a subset of pixels associated with the item label in the received image and identifies locations of the subset of pixels of the received image, and extracts the subset of pixels from the received image. The method retrieves a machine learned classifier to determine whether an image shows the item label. The method determines, using the machine learned classifier, that the extracted subset of pixels shows the item label. The method updates the inventory catalog for the item to indicate that the item has the property associated with the item label.

公开(公告)号：CA3107914A1

公开(公告)日：2020-02-06

申请号：CA3107914

申请日：2019-06-25

Applicant: MAPLEBEAR INC DBA INSTACART

Inventor： HSIEH JONATHAN ,  GOTHE OLIVER ,  STANLEY JEREMY

IPC: G06K9/46 ,  G06K9/66 ,  G06T7/00

Abstract: A method for populating an inventory catalog includes receiving an image showing an item in the inventory catalog and comprising a plurality of pixels. A machine learned segmentation neural network is retrieved to determine location of pixels in an image that are associated with an image label and the property. The method determines a subset of pixels associated with the item label in the received image and identifies locations of the subset of pixels of the received image, and extracts the subset of pixels from the received image. The method retrieves a machine learned classifier to determine whether an image shows the item label. The method determines, using the machine learned classifier, that the extracted subset of pixels shows the item label. The method updates the inventory catalog for the item to indicate that the item has the property associated with the item label.

公开(公告)号：MX2019003760A

公开(公告)日：2020-01-20

申请号：MX2019003760

申请日：2019-04-01

Applicant: MAPLEBEAR INC (DBA INSTACART)

Inventor： DENISE HOI SHUEN LEUNG ,  DAVID SCHWANTES

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

Abstract: Un sistema de conserjería en línea recibe un pedido desde un cliente con una lista de artículos y asigna el pedido a un minorista en el cual se pueden recolectar los artículos; el minorista está asociado con un sistema de procesamiento de pago que tiene un proceso de generación de testigo correspondiente; el sistema de conserjería en línea utiliza el proceso de generación de testigo para que el minorista genere un testigo de pago para el cliente con base en los datos de pago almacenados y transmita el testigo de pago al sistema de procesamiento de pago; el sistema de conserjería en línea determina un primer monto de pago del cliente al minorista con base en los artículos recolectados en el minorista y un segundo monto de pago del minorista al sistema de conserjería en línea; el sistema de procesamiento de pago realiza el cargo al cliente por una suma del primer monto de pago y el segundo monto de pago utilizando el testigo de pago; el sistema de conserjería en línea recibe el segundo monto de pago desde el sistema de procesamiento de pago.

公开(公告)号：MX2019001194A

公开(公告)日：2019-09-04

申请号：MX2019001194

申请日：2019-01-28

Applicant: MAPLEBEAR INC DBA INSTACART

Inventor： JEREMY STANLEY ,  MONTANA LOW ,  NIMA ZAHEDI

IPC: G06Q50/28 ,  H04L29/00 ,  H04L29/06

Abstract: Un sistema de asistencia de compra en línea clasifica una lista de artículos que se van a recolectar en un almacén al recibir datos que identifican un almacén y artículos que se van a recolectar por un recolector en el almacén. El sistema recupera un modelo aprendido por máquina que predice un siguiente artículo de una secuencia de recolección de artículos. El modelo se entrenó, utilizando aprendizaje automático, con base en conjuntos de datos que cada uno incluye una lista de artículos recolectados, una identificación de un almacén del cual se recolectaron los artículos, y una secuencia en la cual se recolectaron los artículos. El sistema identifica un artículo que se va a recolectar primero y una pluralidad de artículos restantes. El sistema predice, utilizando el modelo, un siguiente artículo que se va a recolectar con base en los artículos restantes, el primer artículo y el almacén. El sistema transmite datos que identifican el primer artículo y el siguiente artículo predicho que se va a recolectar al recolector en el almacén.