Patents by Inventor Sunil Morajkar

Sunil Morajkar 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).

  • System and Method of Anomaly Detection using Machine Learning and a Local Outlier Factor
    Publication number: 20240104498
    Abstract: A system and method are disclosed to locate one or more data anomalies in a supply chain network comprising two or more supply chain entities. Embodiments receive supply chain data comprising a plurality of data points. Embodiments select categories and measures by which to cluster the supply chain data points. Embodiments cluster the data points into intersection clusters as measured by the selected categories and measures. Embodiments generate time interval clusters that divide the intersection clusters into one or more time intervals. Embodiments generate K-values for the plurality of data points in relation to the number of time interval clusters. Embodiments generate local outlier factors for the plurality of data points using the generated K-values.
    Type: Application
    Filed: December 1, 2023
    Publication date: March 28, 2024
    Inventors: Swapnil Santosh Kumar Bhure, Sunil Morajkar
  • System and method of anomaly detection using machine learning and a local outlier factor
    Patent number: 11868957
    Abstract: A system and method are disclosed to locate one or more data anomalies in a supply chain network comprising two or more supply chain entities. Embodiments receive supply chain data comprising a plurality of data points. Embodiments select categories and measures by which to cluster the supply chain data points. Embodiments cluster the data points into intersection clusters as measured by the selected categories and measures. Embodiments generate time interval clusters that divide the intersection clusters into one or more time intervals. Embodiments generate K-values for the plurality of data points in relation to the number of time interval clusters. Embodiments generate local outlier factors for the plurality of data points using the generated K-values.
    Type: Grant
    Filed: January 16, 2020
    Date of Patent: January 9, 2024
    Assignee: Blue Yonder Group, Inc.
    Inventors: Swapnil Santosh Kumar Bhure, Sunil Morajkar