公开(公告)号：US20230113122A1

公开(公告)日：2023-04-13

申请号：US18080118

申请日：2022-12-13

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Sharath Rao ,  Shishir Prasad ,  Jeremy Stanley

IPC: G06Q10/087 ,  G06Q10/0631 ,  G06Q10/067

Abstract: A method for predicting inventory availability, involving receiving a delivery order including a plurality of items and a delivery location, and identifying a warehouse for picking the plurality of items. The method retrieves a machine-learned model that predicts a probability that an item is available at the warehouse. The machine-learned model is trained, using machine learning, based in part on a plurality of datasets. The plurality of datasets include data describing items included in previous delivery orders, whether each item in each previous delivery order was picked, a warehouse associated with each previous delivery order, and a plurality of characteristics associated with each of the items. The method predicts the probability that one of the plurality of items in the delivery order is available at the warehouse, and generates an instruction to a picker based on the probability. An instruction is transmitted to a mobile device of the picker.

公开(公告)号：US20210287271A1

公开(公告)日：2021-09-16

申请号：US16815846

申请日：2020-03-11

Applicant: Maplebear, Inc.(dba Instacart)

Inventor： Shishir Kumar Prasad ,  Sharath Rao

IPC: G06Q30/06 ,  G06F16/953

Abstract: An online concierge system may determine recommended search terms for a user. The online concierge system may receive a request from a user to view a user interface configured to receive a search query. The online concierge system retrieves long-term activity data including previous search terms entered by the user while searching for items to add to an online shopping cart. For each previous search term, the online concierge system retrieves categorical search terms corresponding to one or more categories to which the previous search term was mapped. The online concierge system determines a set of nearby categorical search terms and sends, for display via a client device, the set of nearby categorical search terms as recommended search terms.

公开(公告)号：US20190236740A1

公开(公告)日：2019-08-01

申请号：US15885492

申请日：2018-01-31

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Sharath Rao ,  Shishir Prasad ,  Jeremy Stanley

IPC: G06Q50/28 ,  G06N99/00 ,  G06N7/00 ,  G06Q10/06

CPC classification number: G06Q50/28 ,  G06N7/005 ,  G06N20/00 ,  G06Q10/06315 ,  G06Q10/067

Abstract: A method for predicting inventory availability, involving receiving a delivery order including a plurality of items and a delivery location, and identifying a warehouse for picking the plurality of items. The method retrieves a machine-learned model that predicts a probability that an item is available at the warehouse. The machine-learned model is trained, using machine learning, based in part on a plurality of datasets. The plurality of datasets include data describing items included in previous delivery orders, whether each item in each previous delivery order was picked, a warehouse associated with each previous delivery order, and a plurality of characteristics associated with each of the items. The method predicts the probability that one of the plurality of items in the delivery order is available at the warehouse, and generates an instruction to a picker based on the probability. An instruction is transmitted to a mobile device of the picker.

公开(公告)号：US20210192596A1

公开(公告)日：2021-06-24

申请号：US16725503

申请日：2019-12-23

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Shrikar Archak ,  Sharath Rao

IPC: G06Q30/06 ,  G06F16/2457 ,  G06F16/248

Abstract: In an online concierge system, a customer adds items to an online shopping cart. The online concierge system determines key ingredients from the items in the online shopping cart by mapping the items to generic items and removing non-ingredient items and staple items. The online concierge system retrieves recipes including at least one of the key ingredients. The online concierge system determines complementary ingredients based on the other ingredients in the recipes and calculates co-occurrence scores for the complementary ingredients. Using the co-occurrence scores, the online concierge system ranks the complementary ingredients and sends for display a subset of the complementary ingredients as recommended items.

公开(公告)号：US20200219171A1

公开(公告)日：2020-07-09

申请号：US16734273

申请日：2020-01-03

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Mingzhe Zhuang ,  Camille Van Horne ,  Christopher Rudnick ,  Benjamin Knight ,  Chris Jenkins ,  Vicky Andonova ,  Djordje Gluhovic ,  Riddhima Sejpal ,  Maksim Golivkin ,  Sharath Rao

IPC: G06Q30/06

Abstract: Based on orders fulfilled by shoppers of an online concierge system, the online concierge system identifies items in an order that are difficult to find in a warehouse in which the order is fulfilled. When a shopper obtains a difficult to find item from the warehouse, the online concierge system prompts the shopper to provide information for finding the difficult to find item in the warehouse. The online concierge system stores the information for finding the difficult to find item from the shopper in association with the difficult to find item and with the warehouse. Subsequently, when a different shopper is fulfilling an order from the warehouse including the difficult to find item, the online concierge system displays the information for finding the difficult to find item in the warehouse to the different shopper.