Mr. Gokul Pandy

Robotics Process Automation with Machine Learning: A Novel Integration for Optimized Performance

Abstract:

The adoption of Robotics Process Automation (RPA) is transforming business operations by streamlining workflows and reducing operational costs. However, evolving environments necessitate more adaptive and intelligent automation solutions. This paper presents an innovative model that integrates Machine Learning (ML) algorithms into RPA systems to enhance automation performance, improve decision-making, and increase adaptability in dynamic conditions. By incorporating dynamic predictive analytics, anomaly detection, and adaptive learning, the proposed model addresses critical challenges such as scalability, flexibility, and operational efficiency. Empirical validation is provided through case studies and comparative analysis, demonstrating notable improvements in process efficiency, error reduction, and scalability. Theoretical insights and mathematical modeling further offer a framework for practical implementation, providing a comprehensive guide for deploying ML-enhanced RPA systems.