09/09/2026
Turning Shop-Floor Data Into Answers, in Any Language 🤖
In this video, Lisa Hallmann from Reifenhäuser Next explains how the team is tackling two challenges many production sites share: high workforce fluctuation as experienced people retire or move on, and a shortage of skilled workers who are hard to find.
Their answer brings together three building blocks, Next AI, Next Learning and Next Data, inside a single chatbot for the shop floor. It reads live data from the line, helps with troubleshooting, and pulls in learning content on demand. Ask for the quality trend of the last three hours and it returns a graph. Ask how to adjust the air ring and it explains the step, then offers a training video, available in multiple languages.
That multilingual layer is deliberate. An operator can ask in Spanish and get the answer in Spanish, which helps overcome language barriers on the shop floor.
What stands out is the discipline behind it. The chatbot only answers from validated content that has been fed in, with background checks making sure it pulls the right data rather than guessing. Ask it for the weather and it will simply say it does not know. First customers are already using it, with good feedback, and the content keeps growing.
Digitalisation and applied AI on the production floor are among the developments shaping the plastics and rubber industry, and the kind of progress the global community follows at K.