Leveraging Robotic Process Automation (RPA) and Predictive Analytics for Demand Forecasting in Supply Chain Planning

Abstract

Efficient supply chain planning is critical for businesses to meet customer demand while optimizing resources and minimizing costs. Robotic Process Automation (RPA) and Predictive Analytics have emerged as transformative technologies offering advanced capabilities for demand forecasting in supply chain management. This paper explores the integration of RPA and Predictive Analytics to enhance demand forecasting accuracy, streamline processes, and drive informed decision-making in supply chain planning. Through a comprehensive review of literature and case studies, this paper highlights the benefits, challenges, and future implications of leveraging these technologies in the supply chain domain.