Artificial intelligence is already transforming commercial aviation and gradually being integrated into key processes, from maintenance to pricing. This is reported by Forbes.
The first area is predictive maintenance. Aircraft generate vast amounts of data from sensors, and airlines use AI to detect wear and potential failures. This shift allows for a move from reactive repairs to predictive maintenance, reducing delays.
The second area is personalized pricing. Algorithms take into account booking history, route demand, loyalty program status, and user behavior. As a result, different passengers may see varying prices for the same flight, raising concerns about fare transparency.
The third area involves customer service during disruptions. In cases of cancellations and delays, AI systems can automatically rebook tickets, issue vouchers, handle inquiries, and send updates. However, there is an increasing risk of customer dissatisfaction due to reduced interaction with live staff.
The fourth area is the automation of ground processes: biometric boarding, baggage handling, security checks, gate assignments, and logistics management. The use of biometrics in airports has already expanded significantly.
The fifth area is crew support. In the cockpit, AI can analyze the aircraft's condition, weather risks, and fuel consumption. The latter is a major cost-saving factor for airlines and a way for the industry to reduce emissions without radically changing the fleet.
Fully autonomous passenger aircraft are unlikely in the near future due to regulatory and technical constraints.
According to the publication, AI is becoming part of the industry's operational infrastructure, lowering costs and increasing efficiency. Issues of fare transparency and service quality remain central to the discussion.
This technology could lead to a shift in power within the booking market. LLM tools may push airlines towards more active direct sales, creating pressure on travel agencies, aggregators, and other distribution platforms.
As a reminder, in May, researchers from GE Aerospace developed a preliminary design for a hypersonic dual-mode air-breathing jet engine using their own generative AI.