Patents by Inventor Nathaniel Stanley

Nathaniel Stanley 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: 20260178381
    Abstract: A system, method and non-transitory computer-readable storage medium for computing a full dependency graph before obtaining a result of an analytic; and constructing a scheduling graph to optimally distribute work between the available threads, based on the full dependency graph.
    Type: Application
    Filed: February 12, 2026
    Publication date: June 25, 2026
    Applicant: Kinaxis Inc.
    Inventors: Dane Henshall, Matt Diener, Philippe Cadieux-Pelletier, Nathaniel Stanley, Rob MacMillan
  • Patent number: 12554533
    Abstract: A system, method and non-transitory computer-readable storage medium for computing a full dependency graph before obtaining a result of an analytic; and constructing a scheduling graph to optimally distribute work between the available threads, based on the full dependency graph. This may include receiving a request for a result of an algorithm executed on a node; checking, by the processor, the algorithm for a secondary dependency algorithm and executing, by the processor, the algorithm on the node.
    Type: Grant
    Filed: March 30, 2022
    Date of Patent: February 17, 2026
    Assignee: Kinaxis, Inc.
    Inventors: Dane Henshall, Matt Diener, Philippe Cadieux-Pelletier, Nathaniel Stanley, Rob MacMillan
  • Publication number: 20250238676
    Abstract: Methods and systems that provide one or more recommended configurations to planners using large data sets in an efficient manner. These methods and systems provide optimization of objectives using a genetic algorithm that can provide parameter recommendations that optimize one or more objectives in an efficient and timely manner. The methods and systems disclosed herein are flexible enough to satisfy diverse use cases.
    Type: Application
    Filed: April 10, 2025
    Publication date: July 24, 2025
    Applicant: Kinaxis Inc.
    Inventors: Sebastien Ouellet, Phillip Williams, Nathaniel Stanley, Jeffery Downing, Liam Hebert
  • Publication number: 20240144018
    Abstract: Methods and systems that provide one or more recommended configurations to planners using large data sets in an efficient manner. These methods and systems provide optimization of objectives using a genetic algorithm that can provide parameter recommendations that optimize one or more objectives in an efficient and timely manner. The methods and systems disclosed herein are flexible enough to satisfy diverse use cases.
    Type: Application
    Filed: January 5, 2024
    Publication date: May 2, 2024
    Inventors: Sebastien OUELLET, Phillip WILLIAMS, Nathaniel STANLEY, Jeffery DOWNING, Liam HEBERT
  • Patent number: 11900259
    Abstract: Methods and systems that provide one or more recommended configurations to planners using large data sets in an efficient manner. These methods and systems provide optimization of objectives using a genetic algorithm that can provide parameter recommendations that optimize one or more objectives in an efficient and timely manner. The methods and systems disclosed herein are flexible enough to satisfy diverse use cases.
    Type: Grant
    Filed: October 25, 2022
    Date of Patent: February 13, 2024
    Assignee: Kinaxis Inc.
    Inventors: Sebastien Ouellet, Phillip Williams, Nathaniel Stanley, Jeffery Downing, Liam Hebert
  • Publication number: 20230095571
    Abstract: Methods and systems that allow for supply chain logic to be instrumented in such a way that a supply planner can see the major factors driving KPIs, as well as drill down to the lower level to see the impact of each item at the smallest possible level.
    Type: Application
    Filed: September 28, 2022
    Publication date: March 30, 2023
    Inventors: Phillip WILLIAMS, Sebastien OUELLET, Nathaniel STANLEY, Chantal BISSON-KROL
  • Publication number: 20230059016
    Abstract: Methods and systems that provide one or more recommended configurations to planners using large data sets in an efficient manner. These methods and systems provide optimization of objectives using a genetic algorithm that can provide parameter recommendations that optimize one or more objectives in an efficient and timely manner. The methods and systems disclosed herein are flexible enough to satisfy diverse use cases.
    Type: Application
    Filed: October 25, 2022
    Publication date: February 23, 2023
    Inventors: Sebastien OUELLET, Phillip WILLIAMS, Nathaniel STANLEY, Jeffery DOWNING, Liam HEBERT
  • Patent number: 11514328
    Abstract: Methods and systems that provide one or more recommended configurations to planners using large data sets in an efficient manner. These methods and systems provide optimization of objectives using a genetic algorithm that can provide parameter recommendations that optimize one or more objectives in an efficient and timely manner. The methods and systems disclosed herein are flexible enough to satisfy diverse use cases.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: November 29, 2022
    Assignee: Kinaxis Inc.
    Inventors: Sebastien Ouellet, Phillip Williams, Nathaniel Stanley, Jeffery Downing, Liam Hebert
  • Publication number: 20220318054
    Abstract: A system, method and non-transitory computer-readable storage medium for computing a full dependency graph before obtaining a result of an analytic; and constructing a scheduling graph to optimally distribute work between the available threads, based on the full dependency graph.
    Type: Application
    Filed: March 30, 2022
    Publication date: October 6, 2022
    Inventors: Dane HENSHALL, Matt DIENER, Philippe CADIEUX-PELLETIER, Nathaniel STANLEY, Rob MacMILLAN
  • Publication number: 20210342698
    Abstract: Methods and systems that provide one or more recommended configurations to planners using large data sets in an efficient manner. These methods and systems provide optimization of objectives using a genetic algorithm that can provide parameter recommendations that optimize one or more objectives in an efficient and timely manner. The methods and systems disclosed herein are flexible enough to satisfy diverse use cases.
    Type: Application
    Filed: May 4, 2020
    Publication date: November 4, 2021
    Inventors: Sebastien Ouellet, Phillip Williams, Nathaniel Stanley, Jeffery Downing, Liam Hebert
  • Publication number: 20110081487
    Abstract: Methods and devices for high-throughput printing of a precursor material for forming a film of a group IB-IIIA-chalcogenide compound are disclosed. In one embodiment, the method comprises forming a precursor layer on a substrate, the precursor is subsequently processed in a VIA environment.
    Type: Application
    Filed: September 2, 2010
    Publication date: April 7, 2011
    Inventors: Brent Bollman, Nathaniel Stanley, Matthew Diego Rail
  • Publication number: 20100028533
    Abstract: Methods and devices for high-throughput printing of a precursor material for forming a film of a group IB-IIIA-chalcogenide compound are disclosed. In one embodiment, the method comprises forming a precursor layer on a substrate, the precursor is subsequently processed in one or more steps in a VIA environment.
    Type: Application
    Filed: March 4, 2009
    Publication date: February 4, 2010
    Inventors: Brent Bollman, Craig Leidholm, Nathaniel Stanley, Matthew Rail