From Data to Actionable Insights: Utilizing AI and Process Mining in Manufacturing Processes

This paper presents a case study on analyzing process of large manufacturing company specializing in construction machinery. We demonstrate the case of aligning strategic business objectives with process improvement, utilizing advanced data visualization and analytics tools. By integrating domain knowledge, process mining, and machine learning, we analyzed production data to identify inefficiencies and bottlenecks. AI integration, specifically ChatGPT, allowed users to interact with the data through natural language queries, offering detailed insights and identifying critical paths. Our approach addresses data overload and skill gaps in process mining, showing how non-experts can leverage advanced tools for rapid insights.