Patents by Inventor Manuel MEINDL

Manuel MEINDL 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).

  • Process analysis feedback mapping framework
    Patent number: 12505147
    Abstract: A process data store may contain a process model (e.g., a process graph, with process graph elements that include nodes and edges, as generated via process mining or a BPMN representation). A process server may retrieve information from the process data store and receive user feedback data. The server may determine if the information retrieved from the process data store is associated with a prior mapping of survey questions to the information retrieved from the process data store. If the information retrieved from the process data store is not associated with a prior mapping of survey questions, embodiments may utilize Machine Learning (“ML”) to automatically map the user feedback data to the information retrieved from the process data store. The server may then automatically assign, group, and analyze the user feedback data to generate a recommended alteration.
    Type: Grant
    Filed: March 1, 2024
    Date of Patent: December 23, 2025
    Assignee: SAP SE
    Inventors: Alexander Rochlitzer, Gregor Berg, Timotheus Kampik, Manuel Meindl, Ron Agam
  • PROCESS ANALYSIS FEEDBACK MAPPING FRAMEWORK
    Publication number: 20250278428
    Abstract: A process data store may contain a process model (e.g., a process graph, with process graph elements that include nodes and edges, as generated via process mining or a BPMN representation). A process server may retrieve information from the process data store and receive user feedback data. The server may determine if the information retrieved from the process data store is associated with a prior mapping of survey questions to the information retrieved from the process data store. If the information retrieved from the process data store is not associated with a prior mapping of survey questions, embodiments may utilize Machine Learning (“ML”) to automatically map the user feedback data to the information retrieved from the process data store. The server may then automatically assign, group, and analyze the user feedback data to generate a recommended alteration.
    Type: Application
    Filed: March 1, 2024
    Publication date: September 4, 2025
    Inventors: Alexander ROCHLITZER, Gregor BERG, Timotheus KAMPIK, Manuel MEINDL, Ron AGAM