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.  

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 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.