Building an Interactive SAP Learning Chatbot Using Web UI and NLP

SAP is widely used in industries, yet beginners often struggle to understand its modules, transaction codes, and technical terms. This research presents the design and development of an interactive SAP Learning Chatbot that provides instant answers to SAP-related questions. The chatbot is built using modern web technologies on the frontend and Python-based Natural Language Processing (NLP) on the backend. It helps students ask queries such as “What is MIGO?” or “Explain Purchase Order,” and receive simple, accurate explanations. The system focuses on improving accessibility, reducing trainer dependency, and supporting self-learning through a conversational interface. Results show that the chatbot significantly improves concept clarity and learning speed for SAP students.