Yeah, I’ve been digging into that lately. Predictive AI can totally rev up maintenance for a high‑volume line. Basically you feed sensor data into a time‑series model—often an LSTM or a Prophet forecast—and it tells you when a component’s likely to fail before it actually does. That way you can plan downtime in the least disruptive slot, schedule spare parts only when needed, and keep the whole line humming. It’s a sweet mix of data science and real‑world strategy. What part are you most curious about?