Patents by Inventor Kiran Karadi

Kiran Karadi 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).

  • Patent number: 9785918
    Abstract: An issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood can be represented as a severity index score. The issue tracking system can apply a predictive algorithm on attributes of the active support ticket to generate the severity index score. The predictive algorithm to use can depend on the outcome of interest while the correlation factors used to configure the predictive algorithm can depend on support tickets that have already been completed.
    Type: Grant
    Filed: September 19, 2014
    Date of Patent: October 10, 2017
    Assignee: SAP SE
    Inventors: Gabriele Bodda, Ryan Currier, Venkitesh Subramanian, Prerna Makanawala, Rei Kasai, Devasena Rajamohan, Amith Manoharan Chithambaram, Terence Chesire, Kiran Karadi
  • Publication number: 20150348051
    Abstract: A recommendation engine analyzes metrics on an active support ticket to provide recommended solutions, technicians and offers. The recommendation can communicate with a predictive analysis engine to identify solutions, technicians, or offers that are highly correlated with the input parameters. In some embodiments, instructions can be provided to a client device for measuring a metric that is used as an input parameter of the predictive analysis engine. The customer or the technician can follow the instructions to measure the metric.
    Type: Application
    Filed: July 31, 2014
    Publication date: December 3, 2015
    Inventors: Gabriele Bodda, Ryan Currier, Venkitesh Subramanian, Prerna Makanawala, Rei Kasai, Devasena Rajamohan, Amith Manoharan Chithambaram, Terence Chesire, Kiran Karadi
  • Publication number: 20150347906
    Abstract: An issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood can be represented as a severity index score. The issue tracking system can apply a predictive algorithm on attributes of the active support ticket to generate the severity index score. The predictive algorithm to use can depend on the outcome of interest while the correlation factors used to configure the predictive algorithm can depend on support tickets that have already been completed.
    Type: Application
    Filed: September 19, 2014
    Publication date: December 3, 2015
    Inventors: Gabriele Bodda, Ryan Currier, Venkitesh Subramanian, Prerna Makanawala, Rei Kasai, Devasena Rajamohan, Amith Manoharan Chithambaram, Terence Chesire, Kiran Karadi
  • Publication number: 20150346918
    Abstract: An issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood can be represented as a severity index score. The issue tracking system can apply a predictive algorithm on attributes of the active support ticket to generate the severity index score. A graphics engine can present each active support ticket as a line positioned along the perimeter of an inner circle where the length of the line represents the severity index score of the corresponding active support ticket. In some examples, the lines can extend towards an outer circle that represents a predefined threshold value for the severity index score.
    Type: Application
    Filed: September 19, 2014
    Publication date: December 3, 2015
    Inventors: Gabriele Bodda, Ryan Currier, Venkitesh Subramanian, Prerna Mankanawala, Rei Kasai, Devasena Rajamohan, Amith Manoharan Chithambaram, Terence Chesire, Kiran Karadi