公开(公告)号：US20250078025A1

公开(公告)日：2025-03-06

申请号：US18952836

申请日：2024-11-19

Applicant: Maplebear Inc.

Inventor： Jeremy Stanley ,  Montana Low ,  Nima Zahedi

IPC: G06Q10/087 ,  G06N3/04 ,  G06N3/08 ,  G06N5/01 ,  G06N20/20

Abstract: An online shopping concierge system sorts a list of items to be picked in a warehouse by receiving data identifying a warehouse and items to be picked by a picker in the warehouse. The system retrieves a machine-learned model that predicts a next item of a picking sequence of items. The model was trained, using machine-learning, based on sets of data that each include a list of picked items, an identification of a warehouse from which the items were picked, and a sequence in which the items were picked. The system identifies an item to pick first and a plurality of remaining items. The system predicts, using the model, a next item to be picked based on the remaining items, the first item, and the warehouse. The system transmits data identifying the first item and the predicted next item to be picked to the picker in the warehouse.

公开(公告)号：US12182760B2

公开(公告)日：2024-12-31

申请号：US18236575

申请日：2023-08-22

Applicant: Maplebear Inc.

Inventor： Jeremy Stanley ,  Montana Low ,  Nima Zahedi

IPC: G06Q10/087 ,  G06N3/04 ,  G06N3/08 ,  G06N5/01 ,  G06N20/20

Abstract: An online shopping concierge system sorts a list of items to be picked in a warehouse by receiving data identifying a warehouse and items to be picked by a picker in the warehouse. The system retrieves a machine-learned model that predicts a next item of a picking sequence of items. The model was trained, using machine-learning, based on sets of data that each include a list of picked items, an identification of a warehouse from which the items were picked, and a sequence in which the items were picked. The system identifies an item to pick first and a plurality of remaining items. The system predicts, using the model, a next item to be picked based on the remaining items, the first item, and the warehouse. The system transmits data identifying the first item and the predicted next item to be picked to the picker in the warehouse.

公开(公告)号：US11763251B2

公开(公告)日：2023-09-19

申请号：US16670447

申请日：2019-10-31

Applicant: Maplebear, Inc.

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

IPC: H04W4/029 ,  G06Q10/087 ,  G06Q10/10 ,  H04W68/00 ,  H04W4/021

CPC classification number: G06Q10/087 ,  G06Q10/103 ,  H04W4/021 ,  H04W4/029 ,  H04W68/005

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：US20190236525A1

公开(公告)日：2019-08-01

申请号：US15882934

申请日：2018-01-29

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Jeremy Stanley ,  Montana Low ,  Nima Zahedi

IPC: G06Q10/08 ,  G06N3/08

CPC classification number: G06Q10/087 ,  G06N3/08

Abstract: An online shopping concierge system sorts a list of items to be picked in a warehouse by receiving data identifying a warehouse and items to be picked by a picker in the warehouse. The system retrieves a machine-learned model that predicts a next item of a picking sequence of items. The model was trained, using machine-learning, based on sets of data that each include a list of picked items, an identification of a warehouse from which the items were picked, and a sequence in which the items were picked. The system identifies an item to pick first and a plurality of remaining items. The system predicts, using the model, a next item to be picked based on the remaining items, the first item, and the warehouse. The system transmits data identifying the first item and the predicted next item to be picked to the picker in the warehouse.

公开(公告)号：US20230394432A1

公开(公告)日：2023-12-07

申请号：US18236575

申请日：2023-08-22

Applicant: Maplebear Inc.

Inventor： Jeremy Stanley ,  Montana Low ,  Nima Zahedi

IPC: G06Q10/087 ,  G06N3/08 ,  G06N3/04 ,  G06N20/20 ,  G06N5/01

CPC classification number: G06Q10/087 ,  G06N3/08 ,  G06N3/04 ,  G06N20/20 ,  G06N5/01

Abstract: An online shopping concierge system sorts a list of items to be picked in a warehouse by receiving data identifying a warehouse and items to be picked by a picker in the warehouse. The system retrieves a machine-learned model that predicts a next item of a picking sequence of items. The model was trained, using machine-learning, based on sets of data that each include a list of picked items, an identification of a warehouse from which the items were picked, and a sequence in which the items were picked. The system identifies an item to pick first and a plurality of remaining items. The system predicts, using the model, a next item to be picked based on the remaining items, the first item, and the warehouse. The system transmits data identifying the first item and the predicted next item to be picked to the picker in the warehouse.

公开(公告)号：US20230385762A1

公开(公告)日：2023-11-30

申请号：US18234291

申请日：2023-08-15

Applicant: Maplebear Inc.

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

IPC: G06Q10/087 ,  G06Q10/10 ,  H04W4/029 ,  H04W68/00 ,  H04W4/021

CPC classification number: G06Q10/087 ,  G06Q10/103 ,  H04W4/029 ,  H04W68/005 ,  H04W4/021

Abstract: A system receives an order from one or more user client devices associated with an account of the system, and transmits a first notification to the one or more user client devices that an order is ready for pick up at a pickup location. The system receives location data from a particular user client device of the one or more user client devices. The system determines an outer geofence based in part on a running average time or wait time at the pickup location in a recent time period, a size of the order, or a historical wait time associated with the account. In response to receiving an indication from the particular user client device that a user associated with the particular user has entered the determined outer geofence, the system transmits a second notification to a runner client device.

公开(公告)号：US11775926B2

公开(公告)日：2023-10-03

申请号：US15882934

申请日：2018-01-29

Applicant: Maplebear, Inc.

Inventor： Jeremy Stanley ,  Montana Low ,  Nima Zahedi

IPC: G06Q10/087 ,  G06N3/08 ,  G06N3/04 ,  G06N20/20 ,  G06N5/01

CPC classification number: G06Q10/087 ,  G06N3/04 ,  G06N3/08 ,  G06N5/01 ,  G06N20/20

Abstract: An online shopping concierge system sorts a list of items to be picked in a warehouse by receiving data identifying a warehouse and items to be picked by a picker in the warehouse. The system retrieves a machine-learned model that predicts a next item of a picking sequence of items. The model was trained, using machine-learning, based on sets of data that each include a list of picked items, an identification of a warehouse from which the items were picked, and a sequence in which the items were picked. The system identifies an item to pick first and a plurality of remaining items. The system predicts, using the model, a next item to be picked based on the remaining items, the first item, and the warehouse. The system transmits data identifying the first item and the predicted next item to be picked to the picker in the warehouse.

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.