公开(公告)号：US20240202784A1

公开(公告)日：2024-06-20

申请号：US18085458

申请日：2022-12-20

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Calder Hayes ,  Aakash Singh ,  Jaclyn Tandler ,  Alicia Wei ,  Gareth Pennington ,  Shengwen Fang

IPC: G06Q30/0282 ,  G06Q10/087

CPC classification number: G06Q30/0282 ,  G06Q10/087

Abstract: An online concierge system provides orders to a picker who fulfills the order by delivering items from the order to a customer. Customers provide feedback to the online concierge system about pickers, which is used when the online concierge system allocates orders to pickers. In some cases, negative feedback may be caused by conditions external to a picker, such as weather conditions or an inability to access the online concierge system. To avoid penalizing pickers because of external conditions, the online concierge system identifies forgiveness events when external conditions affect order fulfillment. Feedback affected by a forgiveness event is identified by the online concierge system when evaluating pickers. To facilitate matching of feedback to forgiveness events, a forgiveness event table indexes identified forgiveness events to reduce computing complexity and resources, while simplifying addition of new forgiveness events.

公开(公告)号：US20240386471A1

公开(公告)日：2024-11-21

申请号：US18199938

申请日：2023-05-20

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Peter Vu ,  Ziwei Shi ,  Joseph Cohen ,  Emily Silberstein ,  Krishna Kumar Selvam ,  Jaclyn Tandler ,  Adrian McLean ,  Nicholas Rose

IPC: G06Q30/0601

Abstract: A concierge system sends batches of orders to pickers that they can review and accept in a batch list on a client device. Each batch in the batch list is presented with a hide option that enables the picker to hide a batch that they do not intend to accept. In response to receiving a hide signal, the system extracts features associated with the batch and stores those features with a negative indication of the picker towards the batch. The hide signal provides the system with a higher quality signal indicating the picker's negative intent regarding an order, as compared to simply ignoring the order in favor of fulfilling another order. This higher quality signal is then used to train models to better predict events related to the pickers' acceptance of orders, such as for ranking orders for pickers or for predicting fulfillment times.

公开(公告)号：USD1050175S1

公开(公告)日：2024-11-05

申请号：US29851808

申请日：2022-08-31

Applicant: Maplebear Inc.

Designer： Adrian Mclean ,  Joseph Cohen ,  Jaclyn Tandler ,  Sawyer Bowman ,  Rafael Moreno Cesar ,  Ajay Pankaj Sampat

公开(公告)号：US20240428310A1

公开(公告)日：2024-12-26

申请号：US18214316

申请日：2023-06-26

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Dustin Neray ,  Licheng Yin ,  George Zeng ,  Siddarth Kalra ,  Levon Dolbakian ,  Amos Too ,  Jaclyn Tandler

IPC: G06Q30/0601

Abstract: Embodiments are related to automatic prediction of times for completion of tasks for an order by a picker associated with an online system and determination of an appropriate intervention for the picker. The online system applies a computer model to predict a plurality of times for completion of a plurality of tasks associated with the first order. The online system determines that the picker who accepted the first order did not complete a task of the plurality of tasks at a predicted time of the plurality of times increased by a threshold time. The online system determines an intervention associated with the picker, based in part on the determination that the picker did not complete the task. The online system causes a device of the picker to display a message that corresponds to the determined intervention.

公开(公告)号：US20240403826A1

公开(公告)日：2024-12-05

申请号：US18204200

申请日：2023-05-31

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Youdan Xu ,  Aoshi Li ,  Jaclyn Tandler ,  Roman Hayran ,  Brendan Evans Ashby ,  Emily Silberstein ,  Ajay Pankaj Sampat

IPC: G06Q10/0875 ,  G06N3/084 ,  G06Q20/12

Abstract: An online concierge system allows customers to place orders to be fulfilled by pickers. An order includes an amount of compensation a customer provides to a picker when the order is fulfilled. A customer may modify the amount of compensation provided to a picker, so some customers may initially specify a large amount of compensation to entice a picker to fulfill an order and then reduce the amount of compensation when the order is fulfilled. To prevent penalizing pickers who fulfilled an order without a problem, the online concierge system trains a model to determine a probability that a reduction in compensation to a picker was unrelated to a problem with order fulfillment. The online concierge system may perform one or more remedial actions for a picker based on the probability determined by the model.