Integrating Artificial Intelligence and Robotic Process Automation for Optimizing SAP Variant Configuration in Supply Chain Management

Abstract

The integration of Artificial Intelligence (AI) and Robotic Process Automation (RPA) offers significant potential for optimizing SAP Variant Configuration (VC) within Supply Chain Management (SCM). This paper explores how AI and RPA can streamline complex product configuration processes, reduce manual efforts, and improve overall efficiency in managing customized products. By automating repetitive tasks such as data entry, rule-based decision-making, and configuration adjustments, AI and RPA enhance the accuracy and speed of SAP VC operations. Furthermore, the incorporation of AI-driven predictive analytics enables more accurate demand forecasting, optimized inventory management, and personalized customer solutions. This study presents case studies and practical applications of AI-RPA integration, highlighting its benefits in scalability, reduced lead times, and increased flexibility in managing product variations within modern supply chains.