Artificial Intelligence and RPA-Enabled SAP Variant Configuration: Transforming Modern Supply Chain Management
Keywords:
Artificial Intelligence (AI), Control Systems, Automation, Machine Learning, Neural Networks, Predictive Control, Unsupervised Learning, Anomaly Detection, Real-Time Control.Abstract
This paper examines the transformative impact of integrating Artificial Intelligence (AI) and Robotic Process Automation (RPA) within SAP Variant Configuration on modern supply chain management. As businesses face increasing demands for customization and efficiency, the combination of AI and RPA offers a powerful solution to streamline complex product configurations and automate routine tasks. AI algorithms enable predictive analytics, providing real-time insights that enhance decision-making, while RPA automates repetitive processes, reducing human error and freeing resources for strategic initiatives. Through an exploration of real-world applications and case studies, this paper highlights how organizations can leverage these technologies to improve operational agility, increase accuracy, and elevate customer satisfaction. The findings underscore the potential for AI and RPA to create more resilient and responsive supply chains in an increasingly competitive landscape.
