Artificial intelligence is helping aviation become both more sustainable and more cost-effective. Thanks to a huge trove of sensor data from aircraft, airlines can apply machine‑learning to predict maintenance issues before they become serious, cutting downtime and saving on repair costs.
One major application is AI-based inspections: in the past, engineers manually reviewed videos of engine parts, which was slow and error-prone. Now, AI scans and highlights blades with potential issues, boosting inspection speed and reliability — while keeping human engineers involved to make final calls.
AI is also optimizing aircraft refuelling. By analyzing historical flight data, last‑minute load changes, and pre-flight conditions, AI helps determine exactly how much fuel is needed. This precision cuts both weight and emissions, helping airlines save millions of kilos of fuel annually.
Another innovation is the “Tray Tracker” system that reduces food waste on flights. Cameras scan leftover meals after service, and AI analyzes it along with data on passenger class and route. With that insight, airlines can adjust portion sizes and menus, reducing waste — and in turn lowering costs and environmental impact.
