Leveraging AI and RPA in SAP Variant Configuration: A New Paradigm for Efficient Supply Chain Management

Abstract

This paper examines the integration of Artificial Intelligence (AI) and Robotic Process Automation (RPA) within SAP Variant Configuration (VC) to enhance Supply Chain Management (SCM). As businesses grapple with increasing complexities in managing product variations, the demand for flexible and efficient processes becomes critical. The use of AI-driven predictive models enables precise demand forecasting and optimizes product variants by analyzing historical data and market trends. At the same time, RPA automates repetitive tasks, reducing manual errors and speeding up the order-to-production cycle. The synergy between AI and RPA not only enhances responsiveness and operational efficiency but also improves customer personalization through advanced recommendation systems. Nevertheless, challenges such as integration complexities, data quality issues, and security concerns must be addressed. This paper also explores future directions for AI in SCM, emphasizing the potential for autonomous supply chains and sustainable practices. In conclusion, leveraging AI and RPA in SAP VC can transform supply chain operations, providing organizations with a competitive advantage in a rapidly evolving marketplace.