Patents by Inventor Ben Lowenstein

Ben Lowenstein 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).

  • Counterfactual Evaluation of Policies for Categories of Items Using Machine Learning Prediction of Outcomes
    Publication number: 20250315767
    Abstract: An online concierge system fulfills orders for items offered by retailers and may increase the price of an item offered by a retailer in some instances. The online concierge system applies a markup to an item by applying a pricing policy to a category including the item. To optimize application of pricing policies to categories, the online concierge system categorizes items offered by the retailer and applies an outcome model to combinations of categories and pricing policies. From the output of the outcome model, the online concierge system selects a set of categories and corresponding pricing policies. Using a price adjustment model, the online concierge system determines modifications to one or more of the pricing policies of the set to enforce one or more constraints across multiple pricing policies.
    Type: Application
    Filed: June 20, 2025
    Publication date: October 9, 2025
    Inventors: Cameron Nicholas Taylor, Robert Fletcher, Pedro Tanure Veloso, Tilman Drerup, Rob Donnelly, Ben Lowenstein, Matthew Wean
  • Counterfactual evaluation of policies for categories of items using machine learning prediction of outcomes
    Patent number: 12361361
    Abstract: An online concierge system fulfills orders for items offered by retailers and may increase the price of an item offered by a retailer in some instances. The online concierge system applies a markup to an item by applying a pricing policy to a category including the item. To optimize application of pricing policies to categories, the online concierge system categorizes items offered by the retailer and applies an outcome model to combinations of categories and pricing policies. From the output of the outcome model, the online concierge system selects a set of categories and corresponding pricing policies. Using a price adjustment model, the online concierge system determines modifications to one or more of the pricing policies of the set to enforce one or more constraints across multiple pricing policies.
    Type: Grant
    Filed: December 22, 2022
    Date of Patent: July 15, 2025
    Assignee: Maplebear Inc.
    Inventors: Cameron Nicholas Taylor, Robert Fletcher, Pedro Tanure Veloso, Tilman Drerup, Rob Donnelly, Ben Lowenstein, Matthew Wean
  • Counterfactual Evaluation of Policies for Categories of Items Using Machine Learning Prediction of Outcomes
    Publication number: 20240211842
    Abstract: An online concierge system fulfills orders for items offered by retailers and may increase the price of an item offered by a retailer in some instances. The online concierge system applies a markup to an item by applying a pricing policy to a category including the item. To optimize application of pricing policies to categories, the online concierge system categorizes items offered by the retailer and applies an outcome model to combinations of categories and pricing policies. From the output of the outcome model, the online concierge system selects a set of categories and corresponding pricing policies. Using a price adjustment model, the online concierge system determines modifications to one or more of the pricing policies of the set to enforce one or more constraints across multiple pricing policies.
    Type: Application
    Filed: December 22, 2022
    Publication date: June 27, 2024
    Inventors: Cameron Nicholas Taylor, Robert Fletcher, Pedro Tanure Veloso, Tilman Drerup, Rob Donnelly, Ben Lowenstein, Matthew Wean