Patents by Inventor Vamsi Koduru

Vamsi Koduru 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: 20200065834
    Abstract: A method and apparatus for generating and/or using a customer frustration score are disclosed. In one embodiment, the method comprises generating a customer frustration index for a customer; and performing one or more operations based on the customer frustration index.
    Type: Application
    Filed: April 22, 2019
    Publication date: February 27, 2020
    Inventors: Ankur Manikandan, Qike Li, Shaarvani Kavula, Surendra Reddy, Jagadish Changavi, Vamsi Koduru
  • Publication number: 20200065835
    Abstract: A method and apparatus for generating and/or using a customer frustration score are disclosed. In one embodiment, the method comprises generating a customer frustration index for a customer; and performing one or more operations based on the customer frustration index.
    Type: Application
    Filed: June 25, 2019
    Publication date: February 27, 2020
    Inventors: Ankur Manikandan, Qike Li, Shaarvani Kavula, Surendra Reddy, Jagadish Changavi, Vamsi Koduru
  • Publication number: 20190311367
    Abstract: A system and method for using a data genome to identify suspicious financial transactions.
    Type: Application
    Filed: June 25, 2019
    Publication date: October 10, 2019
    Inventors: Surendra Reddy, Vamsi Koduru
  • Publication number: 20190259033
    Abstract: A system and method for using a data genome to identify suspicious financial transactions.
    Type: Application
    Filed: May 2, 2019
    Publication date: August 22, 2019
    Inventors: Surendra Reddy, Vamsi Koduru
  • Publication number: 20190251475
    Abstract: Briefly described, embodiments of the present invention pertains to a key performance indicator (KPI)-driven digital genome system or framework as well as various systems and methods of use and interaction therewith. Unlike conventional stand-alone KPI applications or pure-play centralized KPI solutions, embodiments of the present invention provide an automated way to codify the organizational objectives, goals, behavior, and motivations by continuously measuring, correlating, and discovering hidden relationships among various metrics, attributes, causal relationships, and networks display genomic findings via business applications without a priori knowledge of machine learning or statistical techniques.
    Type: Application
    Filed: April 25, 2019
    Publication date: August 15, 2019
    Inventors: Surendra Reddy, Vamsi Koduru
  • Patent number: 10311376
    Abstract: Briefly described, embodiments of the present invention pertains to a key performance indicator (KPI)-driven digital genome system or framework as well as various systems and methods of use and interaction therewith. Unlike conventional stand-alone KPI applications or pure-play centralized KPI solutions, embodiments of the present invention provide an automated way to codify the organizational objectives, goals, behavior, and motivations by continuously measuring, correlating, and discovering hidden relationships among various metrics, attributes, causal relationships, and networks display genomic findings via business applications without a priori knowledge of machine learning or statistical techniques.
    Type: Grant
    Filed: June 20, 2016
    Date of Patent: June 4, 2019
    Assignee: QUANTIPLY CORPORATION
    Inventors: Surendra Reddy, Vamsi Koduru
  • Publication number: 20160371591
    Abstract: Briefly described, embodiments of the present invention pertains to a key performance indicator (KPI)-driven digital genome system or framework as well as various systems and methods of use and interaction therewith. Unlike conventional stand-alone KPI applications or pure-play centralized KPI solutions, embodiments of the present invention provide an automated way to codify the organizational objectives, goals, behavior, and motivations by continuously measuring, correlating, and discovering hidden relationships among various metrics, attributes, causal relationships, and networks display genomic findings via business applications without a priori knowledge of machine learning or statistical techniques.
    Type: Application
    Filed: June 20, 2016
    Publication date: December 22, 2016
    Inventors: Surendra Reddy, Vamsi Koduru