Patents by Inventor Craig Mackereth

Craig Mackereth 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: 12026076
    Abstract: A service provider system receives case data of a client from a client service system. Vector data is collected from the case data through integration and aggregation. Signals of anomalies or sentiments are detected through machine learning from the integrated and aggregated vector data. The signals are validated, consolidated and associated with case, contact, and client object types. A user interface presents the validated and consolidated signals to users who proactively take action based on the signals. The user interface includes dashboards, notifications, and indicators.
    Type: Grant
    Filed: September 13, 2019
    Date of Patent: July 2, 2024
    Assignee: Rimini Street, Inc.
    Inventors: Praveen Sahni, Brian Slepko, Craig Mackereth
  • Publication number: 20210081972
    Abstract: A service provider system receives case data of a client from a client service system. Vector data is collected from the case data through integration and aggregation. Signals of anomalies or sentiments are detected through machine learning from the integrated and aggregated vector data. The signals are validated, consolidated, and associated with case, contact, and client object types. A user interface presents the validated and consolidated signals to users who proactively take action based on the signals. The user interface includes dashboards, notifications, and indicators.
    Type: Application
    Filed: September 13, 2019
    Publication date: March 18, 2021
    Applicant: Rimini Street, Inc.
    Inventors: Praveen Sahni, Brian Slepko, Craig Mackereth
  • Publication number: 20210081293
    Abstract: A service provider system receives case data of a client from a client service system. Vector data is collected from the case data through integration and aggregation. Signals of anomalies or sentiments are detected through machine learning from the integrated and aggregated vector data. The signals are validated, consolidated and associated with case, contact, and client object types. A user interface presents the validated and consolidated signals to users who proactively take action based on the signals. The user interface includes dashboards, notifications, and indicators.
    Type: Application
    Filed: September 13, 2019
    Publication date: March 18, 2021
    Applicant: Rimini Street, Inc.
    Inventors: Praveen Sahni, Brian Slepko, Craig Mackereth