This study applied Digital Intelligence Fusion to explore an autonomous experimental model for ERP learning systems to enhance the practical experience for the undergraduates. Using AI’s ability to create virtual environments, the proposed model simulated real-life scenarios to provide students with an immersive educational experience. The study employed big data analysis to build an intelligent ERP system through data warehousing and data mining techniques to improve data quality and automatically correct inaccuracies. The model performs well in capturing contextual features and generating responses that are very similar to the actual responses. This novel approach demonstrated a unique contribution to this field, enhancing ERP education through AI-driven immersive learning and big data analytics.