Patents by Inventor Mike Freimer

Mike Freimer 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).

  • Machine learning model trained to predict conversions for determining lost conversions caused by restrictions in available fulfillment windows or fulfillment cost
    Patent number: 12008590
    Abstract: An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
    Type: Grant
    Filed: January 3, 2023
    Date of Patent: June 11, 2024
    Assignee: Maplebear Inc.
    Inventors: Wa Yuan, Ganesh Krishnan, Qianyi Hu, Aishwarya Balachander, George Ruan, Soren Zeliger, Mike Freimer, Aman Jain
  • MACHINE LEARNING MODEL TRAINED TO PREDICT CONVERSIONS FOR DETERMINING LOST CONVERSIONS CAUSED BY RESTRICTIONS IN AVAILABLE FULFILLMENT WINDOWS OR FULFILLMENT COST
    Publication number: 20230153847
    Abstract: An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
    Type: Application
    Filed: January 3, 2023
    Publication date: May 18, 2023
    Inventors: Wa Yuan, Ganesh Krishnan, Qianyi Hu, Aishwarya Balachander, George Ruan, Soren Zeliger, Mike Freimer, Aman Jain
  • MACHINE LEARNING MODEL TRAINED TO PREDICT CONVERSIONS FOR DETERMINING LOST CONVERSIONS CAUSED BY RESTRICTIONS IN AVAILABLE FULFILLMENT WINDOWS OR FULFILLMENT COST
    Publication number: 20230049669
    Abstract: An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
    Type: Application
    Filed: August 16, 2021
    Publication date: February 16, 2023
    Inventors: Wa Yuan, Ganesh Krishnan, Qianyi Hu, Aishwarya Balachander, George Ruan, Soren Zeliger, Mike Freimer, Aman Jain
  • Machine learning model trained to predict conversions for determining lost conversions caused by restrictions in available fulfillment windows or fulfillment cost
    Patent number: 11574325
    Abstract: An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
    Type: Grant
    Filed: August 16, 2021
    Date of Patent: February 7, 2023
    Assignee: Maplebear Inc.
    Inventors: Wa Yuan, Ganesh Krishnan, Qianyi Hu, Aishwarya Balachander, George Ruan, Soren Zeliger, Mike Freimer, Aman Jain