AI-Driven Predictive Maintenance in SAP for Equipment Reliability

Abstract

Predictive maintenance (PdM) is a vital strategy in modern asset management, aimed at minimizing equipment downtime, reducing maintenance costs, and improving operational efficiency. With the integration of Artificial Intelligence (AI) in enterprise resource planning (ERP) systems such as SAP, predictive maintenance has evolved into a sophisticated, data-driven approach that leverages real-time data, historical performance metrics, and machine learning algorithms to predict equipment failures before they occur. This research article explores the role of AI-driven predictive maintenance in SAP systems for enhancing equipment reliability. The article covers the core principles of predictive maintenance, the integration of AI with SAP for predictive analytics, the benefits of this technology in industrial operations, and challenges in its implementation. Through case studies and examples, this paper provides insights into how AI-driven predictive maintenance is revolutionizing asset management and driving operational excellence across industries.