Artificial Intelligence (AI) in aviation is changing the way companies manage data, operations, and revenue streams. The industry is increasingly using AI to improve operational efficiency, jet fuel efficiency, customer satisfaction and reduce flight delays.
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The aviation industry was hit the hardest by travel bans and restrictions due to the Covid-19 pandemic. In the post-Covid-19 period, many airport standards and new features are being automated to improve efficiency and minimise human contact like contactless check-ins, security procedures, symptoms screening, among others.
Discover the leading AI companies in the aviation industry
Using its experience in the sector, Airport Technology has listed some of the leading companies providing products and services related to AI.
The information provided in the download document is drafted for aviation executives and technology leaders involved in AI solutions.
The download contains detailed information on suppliers and their product offerings, alongside contact details to aid purchase or hiring decisions.
Amongst the leading vendors of AI in aviation industry are SynpaseMX, Donacle, PureStrategy, Coseer, Jeppesen, Flyways, Skywise and TAV technologies.
How is AI transforming the aviation industry?
Air Traffic Control (ATC)
ATC is normally controlled by ATC specialists who guide and communicate with nearby aircraft and manage landings and take-offs from a control tower. With technology, ATC is being partially taken over by AI-based systems that manage landing sequences, weather conditions, forced landings, accidents, and failures.
Dynamic ticket pricing
Dynamic ticket pricing is an AI-based technique that uses dynamic pricing algorithms to adjust prices to the most profitable levels based on current conditions.
Delay predictions
AI systems in the aviation industry are helping airports predict delays and notify passengers at the earliest. In this way, airlines can also greatly improve customer experience.
Flights optimisation
Modern Air Traffic Management (ATM) systems based on AI allow air transportation companies to identify optimal flight routes. This way the industry can reduce costs and enhance time and fuel efficiency.
Crew scheduling
Intelligent workforce management (WFM) systems help in scheduling crews for each flight without unnecessary complexity and delays. In this way, each flight has an assured number of crew members to proceed as planned, minimising potential errors. It is also the best way to maximise the potential of each crew member.
Predictive maintenance
Predictive algorithms are AI solutions that enable airlines to anticipate not only potential flight delays and complications, but also required repairs and maintenance work.
Chatbots
Chatbots and customer service automation can direct users to specific services, update on flights, among others, thereby allowing staff to focus on higher value activities.
Fraud detection
By analysing the flight and purchase patterns of specific customers and combining them with historical data, algorithms can identify passengers making suspicious credit card transactions, eliminate fraud, and help airlines save millions of dollars.
FAQs
How is AI transforming the aviation industry?
AI is revolutionising the aviation industry by enhancing operational efficiency, safety, and customer experience. AI-driven solutions such as predictive maintenance improve aircraft reliability by anticipating repair needs before issues arise. Additionally, AI enhances air traffic control by automating tasks like weather prediction, landing sequencing, and flight path optimisation, reducing delays and improving fuel efficiency. AI also powers dynamic pricing models for ticketing and supports chatbots for customer service, enhancing passenger experience and operational cost management.
What are the benefits of AI for air traffic control?
AI in air traffic control (ATC) automates processes like weather forecasting, flight path management, and collision avoidance, improving both safety and operational efficiency. AI systems can monitor multiple aircraft simultaneously, predict potential conflicts, and assist in managing landing sequences, allowing human controllers to focus on more complex tasks. This enhances the flow of air traffic, reduces delays, and mitigates human error, ultimately leading to safer, more efficient airspace management.
How does AI optimise flight operations and routes?
AI optimises flight operations by identifying the most fuel-efficient routes and adjusting flight paths in real time based on weather conditions, air traffic, and other variables. AI-powered systems help airlines minimise fuel consumption and flight duration, leading to significant cost savings. Additionally, AI assists in optimising crew scheduling, ensuring that the right number of personnel are allocated to each flight, reducing operational complexities and enhancing overall efficiency.
What is predictive maintenance in aviation?
Predictive maintenance uses AI algorithms to monitor aircraft components and systems in real time, identifying patterns that signal potential failures. By predicting when parts will need maintenance or replacement, airlines can schedule repairs proactively, avoiding costly delays and breakdowns. This AI-driven approach improves aircraft reliability, reduces unplanned maintenance, and extends the life of critical components, ensuring that flights run smoothly and on time.
How is AI used for customer service in aviation?
AI is widely used in aviation for customer service applications such as chatbots, which assist passengers with flight information, booking queries, and travel updates. These AI-powered systems provide real-time responses and personalised assistance, reducing the need for human customer service agents. AI also helps airlines personalise marketing efforts, using data analytics to offer tailored promotions, updates, and services based on passenger preferences and travel history, improving the overall customer experience.