Patents by Inventor William Halbach

William Halbach has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Predicting item weights using a trained machine learning model
    Patent number: 12572911
    Abstract: An online concierge system compensates pickers who fulfill orders including one or more items based in part on weights of the items included in an order. Because the online concierge system does not physically possess the items that are obtained, the online concierge system cannot directly weigh the items and weights specified for items in a catalog from a retailer may be inaccurate. To more accurately determine weights of items, the online concierge system trains a weight prediction model to estimate an item's weight from attributes of the item and uses the output of the weight prediction model to determine compensation to a picker. The weight prediction model may output a predicted weight of an item or a classification of the item as heavy or light. Where discrepancies are found between a predicted weight and the catalog weight of an item, additional information about the item is obtained.
    Type: Grant
    Filed: August 31, 2023
    Date of Patent: March 10, 2026
    Assignee: Maplebear Inc.
    Inventors: Aoshi Li, Prithvishankar Srinivasan, Shang Li, Mengyu Zhang, Daniel Haugh, Cheryl D'Souza, Syed Wasi Hasan Rizvi, William Halbach, Ziwei Shi, Annie Zhang, Giovanny Castro, Sonali Parthasarathy, Shishir Kumar Prasad
  • PREDICTING ITEM WEIGHTS USING A TRAINED MACHINE LEARNING MODEL
    Publication number: 20250078056
    Abstract: An online concierge system compensates pickers who fulfill orders including one or more items based in part on weights of the items included in an order. Because the online concierge system does not physically possess the items that are obtained, the online concierge system cannot directly weigh the items and weights specified for items in a catalog from a retailer may be inaccurate. To more accurately determine weights of items, the online concierge system trains a weight prediction model to estimate an item's weight from attributes of the item and uses the output of the weight prediction model to determine compensation to a picker. The weight prediction model may output a predicted weight of an item or a classification of the item as heavy or light. Where discrepancies are found between a predicted weight and the catalog weight of an item, additional information about the item is obtained.
    Type: Application
    Filed: August 31, 2023
    Publication date: March 6, 2025
    Inventors: Aoshi Li, Prithvishankar Srinivasan, Shang Li, Mengyu Zhang, Daniel Haugh, Cheryl D’Souza, Syed Wasi Hasan Rizvi, William Halbach, Ziwei Shi, Annie Zhang, Giovanny Castro, Sonali Parthasarathy, Shishir Kumar Prasad