Patents by Inventor Brad A. Stein

Brad A. Stein 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).

  • Publication number: 20240144103
    Abstract: A VCN process may receive, by a value chain network digital twin, information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained to determine a task to be completed for the value chain network. A VCN process may provide at least one of an instruction for executing the task in the value chain network digital twin and a recommendation for executing the task in the value chain network digital twin.
    Type: Application
    Filed: November 30, 2023
    Publication date: May 2, 2024
    Inventors: Charles H. Cella, Andrew Cardno, Jenna Parenti, Andrew S. Locke, Brad Kell, Teymour S. El-Tahry, Leon Fortin, JR., Andrew Bunin, Kunal Sharma, Taylor Charon, Hristo Malchev, Eric P. Vetter, David Stein, Benjamin D. Goodman
  • Publication number: 20240144140
    Abstract: A VCN process may receive information associated with a set of value chain network entities. A VCN process may provide the information to a first set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the first set of AI-based learning models is trained to generate a prediction of future demand for an item. A VCN process may provide the information to a second set of AI-based learning models, wherein at least one member of the second set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of at least one value chain entity. A VCN process may determine a potential risk in the value chain network associated with the at least one value chain network entity based upon, at least in part, an output of the AI-based learning models.
    Type: Application
    Filed: November 30, 2023
    Publication date: May 2, 2024
    Inventors: Charles H. Cella, Andrew Cardno, Jenna Parenti, Andrew S. Locke, Brad Kell, Teymour S. El-Tahry, Leon Fortin, JR., Andrew Bunin, Kunal Sharma, Taylor Charon, Hristo Malchev, Eric P. Vetter, David Stein, Benjamin D. Goodman
  • Publication number: 20240144011
    Abstract: A VCN process may receive information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained on the training data set to determine, upon receiving the classification of the at least one of: the operating state, the fault condition, the operating flow, or the behavior, a task to be completed for the value chain network. A VCN process may provide a computer code instruction set to a machine to execute the task to facilitate an improvement in the operation of the value chain network.
    Type: Application
    Filed: November 30, 2023
    Publication date: May 2, 2024
    Inventors: Charles H. Cella, Andrew Cardno, Jenna Parenti, Andrew S. Locke, Brad Kell, Teymour S. El-Tahry, Leon Fortin, JR., Andrew Bunin, Kunal Sharma, Taylor Charon, Hristo Malchev, Eric P. Vetter, David Stein, Benjamin D. Goodman
  • Publication number: 20240144139
    Abstract: A VCN process may receive, by a computing device, information associated with a set of value chain network entities of a value chain network, the information generated by at least one of: a set of sensors of the set of value chain network entities, a set of IoT devices configured to collect data relating to the set of value chain network entities, or a set of APIs configured to publish data relating to the set of value chain network entities. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models. A VCN process may determine a procurement action to be taken in the value chain network based upon, at least in part, an output of the set of AI-based learning models. A VCN process may execute the procurement action.
    Type: Application
    Filed: November 30, 2023
    Publication date: May 2, 2024
    Inventors: Charles H. Cella, Andrew Cardno, Jenna Parenti, Andrew S. Locke, Brad Kell, Teymour S. El-Tahry, Leon Fortin, Jr., Andrew Bunin, Kunal Sharma, Taylor Charon, Hristo Malchev, Eric P. Vetter, David Stein, Benjamin D. Goodman
  • Publication number: 20240144138
    Abstract: A VCN process may receive, by a computing device, information associated with a set of value chain network entities of a value chain network, the information generated by at least one of a set of sensors of the set of value chain network entities, a set of IoT devices configured to collect data relating to the set of value chain network entities, or a set of APIs configured to publish data relating to the set of value chain network entities. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models. A VCN process may determine a potential risk in the value chain based upon, at least in part, an output of the AI-based learning classification. A VCN process may execute an action to mitigate the potential risk in the value chain network.
    Type: Application
    Filed: November 30, 2023
    Publication date: May 2, 2024
    Inventors: Charles H. Cella, Andrew Cardno, Jenna Parenti, Andrew S. Locke, Brad Kell, Teymour S. El-Tahry, Leon Fortin, JR., Andrew Bunin, Kunal Sharma, Taylor Charon, Hristo Malchev, Eric P. Vetter, David Stein, Benjamin D. Goodman
  • Publication number: 20240144141
    Abstract: A VCN process may receive information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained on a training data set of a set of value chain network entities operating data to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of at least one value chain entity of the set of value chain network entities. A VCN process may determine a task to be completed for the value chain network based upon, at least in part, on an output of the set of AI-based learning models. A VCN process may execute the task to facilitate an improvement in the value chain network.
    Type: Application
    Filed: November 30, 2023
    Publication date: May 2, 2024
    Inventors: Charles H. Cella, Andrew Cardno, Jenna Parenti, Andrew S. Locke, Brad Kell, Teymour S. El-Tahry, Leon Fortin, JR., Andrew Bunin, Kunal Sharma, Taylor Charon, Hristo Malchev, Eric P. Vetter, David Stein, Benjamin D. Goodman
  • Publication number: 20240144181
    Abstract: A VCN process may receive information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained on the training data set to determine, upon receiving the classification of the at least one of: the operating state, the fault condition, the operating flow, or the behavior, a task to be completed for the value chain network. A VCN process may configure a robotic process automation system to execute the task to facilitate an improvement in the value chain network.
    Type: Application
    Filed: November 30, 2023
    Publication date: May 2, 2024
    Inventors: Charles H. Cella, Andrew Cardno, Jenna Parenti, Andrew S. Locke, Brad Kell, Teymour S. El-Tahry, Leon Fortin, JR., Andrew Bunin, Kunal Sharma, Taylor Charon, Hristo Malchev, Eric P. Vetter, David Stein, Benjamin D. Goodman
  • Patent number: 5951129
    Abstract: A tool-box. An upper and lower module are provided wherein the upper module extends laterally beyond the lower module so as to form an overhanging portion in the upper module. The overhanging portion includes apertures adapted to pass the shanks of elongate tools and retain handle portions thereof, thereby securing the tools while permitting the shanks to hang outside of both modules. The upper module includes a door adapted to swing upwardly, out of the way of the user, to an open position. The door includes hinged side portions that are adapted to swing upwardly, out of the way of the user when the door is in the open position.
    Type: Grant
    Filed: January 5, 1998
    Date of Patent: September 14, 1999
    Inventor: Brad A. Stein