GENERATING ORDER BATCHES FOR AN ONLINE CONCIERGE SYSTEM

    公开(公告)号:US20240104493A1

    公开(公告)日:2024-03-28

    申请号:US17935091

    申请日:2022-09-24

    CPC classification number: G06Q10/087 G06Q10/06312 G06Q10/0639

    Abstract: An online concierge system generates order batches for pickers and offers those order batches. The online concierge system generates a set of candidate order batches, which are subsets of a received set of orders. The online concierge system generates a set of order batch scores for each of a set of candidate pickers, and offers the candidate order batches to the candidate pickers for the candidate pickers to service based on the set of order batch scores. If a candidate picker accepts the offered order batch, the online concierge system identifies candidate order batches with overlapping orders with the order batch accepted by the candidate picker, and rescinds the offer for each of the candidate pickers to service the order batches.

    TRAINING A MODEL TO PREDICT TRAVEL DISTANCE BETWEEN TWO GEOGRAPHIC LOCATIONS

    公开(公告)号:US20220391965A1

    公开(公告)日:2022-12-08

    申请号:US17338421

    申请日:2021-06-03

    Abstract: An online concierge system receives orders from users and assigns orders to shoppers for fulfillment. Each order specifies a destination location and a warehouse from which items in the order are obtained. When assigning orders to shoppers, the online concierge system seeks to minimize distances traveled by shoppers fulfilling orders. To more efficiently assign orders to shoppers, the online concierge system trains a distance prediction model to predict a distance traveled between a starting location and a destination location from the starting location, the destination location, and a Haversine distance between the destination location and the starting location. Information identifying distances traveled by shoppers when fulfilling previous orders or information about distances between locations from a third party system may be used to train the distance prediction model.

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