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

Abstract

This paper explores the integration of Artificial Intelligence (AI) and Robotic Process Automation (RPA) within SAP Variant Configuration (VC) to enhance supply chain management (SCM). As businesses face increasing complexity in managing product variations, the need for flexible and efficient processes becomes paramount. The application of AI-driven predictive models allows for accurate demand forecasting and optimization of product variants based on historical data and market trends. Simultaneously, RPA automates repetitive tasks, reducing manual errors and accelerating order-to-production cycles. The synergy between AI and RPA not only improves responsiveness and operational efficiency but also enhances customer personalization through advanced recommendation systems. However, challenges such as integration complexities, data quality issues, and security concerns must be addressed. This paper also discusses future directions for AI in SCM, emphasizing the potential for autonomous supply chains and sustainability. Ultimately, leveraging AI and RPA in SAP VC can transform supply chain operations, providing organizations with a competitive advantage in a rapidly evolving marketplace.