Predictive analysis of Hajj and Umrah performance using key performance indicators (KPIs) and machine learning (ML)

Hajj and Umrah services annually attract millions of pilgrims to Saudi Arabia, making their efficient management crucial to achieving Vision 2030’s objectives. This paper explores the use of artificial intelligence (AI) and machine learning to predict and optimize key performance indicators for these services. We propose an AI-driven framework that processes vast datasets to enhance decision making, improve service provision, and optimize the pilgrimage experience. Our results demonstrate significant improvements in KPI prediction accuracy, supporting Saudi Arabia’s efforts to advance the quality of Hajj and Umrah services while aligning with Vision 2030’s goals.