The integration of generative AI-driven chatbots into industrial maintenance opens up new dimensions of efficiency and interactivity.

These intelligent chatbots not only optimise the planning and execution processes of maintenance work, but also promote a dynamic exchange with machines and data, leading to more transparent and efficient workflows.

Using advanced natural language processing techniques, they analyse detailed text information from maintenance reports and technical documentation. As a result, they refine the decision-making processes of maintenance teams and accelerate data analyses, such as the identification of frequently occurring defects or the calculation of average repair times.

The chatbots prove their effectiveness by reducing repair times and increasing employee satisfaction at the same time. By adapting their communication to the user’s level of knowledge and the ability to respond in different language styles and languages, they demonstrate their global applicability in multinational corporations.