Uipath, inc. (20240201961). INTELLIGENT WORKFLOW DESIGN FOR ROBOTIC PROCESS AUTOMATION simplified abstract
Contents
INTELLIGENT WORKFLOW DESIGN FOR ROBOTIC PROCESS AUTOMATION
Organization Name
Inventor(s)
Bogdan-Constantin Ripa of Bucharest (RO)
INTELLIGENT WORKFLOW DESIGN FOR ROBOTIC PROCESS AUTOMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240201961 titled 'INTELLIGENT WORKFLOW DESIGN FOR ROBOTIC PROCESS AUTOMATION
The abstract describes an intelligent workflow design solution that uses predictive learning to recommend activities for building sequences in an RPA workflow, shortening design cycle time and improving efficiency.
- Utilizes a predictive learning model to recommend activities for building sequences in an RPA workflow
- Personalizes and customizes the workflow design process for the user
- Monitors user-selected activities and suggests recommended activities based on a predictive learning model
- Trains the predictive learning model based on user selections of next activities for the sequence
- Improves efficiency and shortens design cycle time for RPA workflows
Potential Applications: - Automation of repetitive tasks in various industries - Streamlining workflow design processes for developers - Enhancing productivity and efficiency in business operations
Problems Solved: - Lengthy design cycle times in building RPA workflows - Manual selection of activities in workflow design - Lack of personalized recommendations for workflow building
Benefits: - Shortened design cycle time - Improved efficiency in workflow design - Personalized and customized workflow recommendations
Commercial Applications: Automating repetitive tasks in industries such as finance, healthcare, and manufacturing to improve operational efficiency and productivity.
Prior Art: Researchers and developers in the field of RPA workflow design may find prior art in predictive learning models, workflow automation, and personalized recommendation systems.
Frequently Updated Research: Stay updated on advancements in predictive learning models, workflow automation, and personalized recommendation systems to enhance the efficiency of RPA workflow design.
Questions about Intelligent Workflow Design: 1. How does the predictive learning model improve the efficiency of building sequences in an RPA workflow? 2. What industries can benefit the most from personalized workflow recommendations in RPA automation?
Original Abstract Submitted
an intelligent workflow design solution is provided that assists a user (e.g., developer of rpa workflows) by automatically and intelligently recommending suggested activities for use in building sequences of activities in an rpa workflow. the solution utilizes a predictive learning model to customize and personalize the workflow design process for a user, thereby shortening design cycle time and improving efficiency. a system and method for developing an rpa workflow includes monitoring one or more activities that are selected by a user and identifying one or more recommended activities as candidate next activities in a sequence based on a predictive learning model. the candidate next activities are generated for selection by the user and the predictive learning model is trained based on an actual selection by the user of a next activity for the sequence.
