Patents by Inventor Sebastian Telgen

Sebastian Telgen 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).

  • Artificial intelligence for freight estimation
    Patent number: 12175413
    Abstract: Provided is a system to generate a machine learning model to provide a predicted cost associated with shipping a shipment of freight from an origin of the shipment of freight to a destination of the shipment of freight based on a training dataset and a predicted distance and to determine the predicted cost associated with shipping a specified shipment of freight from the origin of the specified shipment of freight to the destination of the specified shipment of freight using the machine learning model. The training dataset includes data associated with shipments of freight conducted during a first time interval and data associated with shipments of freight conducted during a second time interval. The first time interval is at least a year and the second time interval is shorter than the first time interval. A computer implemented method and computer program product are also provided.
    Type: Grant
    Filed: January 13, 2022
    Date of Patent: December 24, 2024
    Assignees: Covestro LLC, Covestro Deutschland AG
    Inventors: Alison Meanor, Michael Burns, Severin Mueller-Platz, Sebastian Telgen
  • ARTIFICIAL INTELLIGENCE FOR FREIGHT ESTIMATION
    Publication number: 20220327482
    Abstract: Provided is a system to generate a machine learning model to provide a predicted cost associated with shipping a shipment of freight from an origin of the shipment of freight to a destination of the shipment of freight based on a training dataset and a predicted distance and to determine the predicted cost associated with shipping a specified shipment of freight from the origin of the specified shipment of freight to the destination of the specified shipment of freight using the machine learning model. The training dataset includes data associated with shipments of freight conducted during a first time interval and data associated with shipments of freight conducted during a second time interval. The first time interval is at least a year and the second time interval is shorter than the first time interval. A computer implemented method and computer program product are also provided.
    Type: Application
    Filed: January 13, 2022
    Publication date: October 13, 2022
    Inventors: Alison Meanor, Michael Burns, Severin Mueller-Platz, Sebastian Telgen, Petr Jurek