Artificial Intelligence in the Aviation Industry

Artificial Intelligence software has gradually given another meaning to millions of data handled by industries and has helped to streamline and automate a large number of processes, revolutionizing every sector where it is involved.

That is why in this post we will evaluate what are the most common applications of Artificial Intelligence specifically for the airline industry.

Revenue management:

The application of this type of tool helps the airline industry to analyze the necessary data to define how to sell a product to the right people at the right time, in the right channel. It is about using efficient distribution channels and correctly managing the number and distribution of its seats keeping the airline friendly to the end customer while not losing competitiveness against other airlines.

In addition to this, AI can help evaluate a customer’s willingness to pay for a specific service and thus analyze how profitable it can become.

source: https://www.freepik.com/premium-photo/replacing-engine-airplane-working-worker-mechanic-specialist-concept-maintenance-aircraft_24959085.htm

Aircraft safety and maintenance: 

Airlines implement predictive maintenance technology solutions to minimize the losses they incur due to delays, cancellations, and compensation to users stranded at airports. These types of systems are supported by mobile and desktop devices that help technical staff access real-time historical data that streamlines maintenance and decision making.

source: https://www.freepik.com/free-photo/captain-woman-copilot-getting-ready-fly-airplane-takeoff-with-dashboard-navigation-cockpit-command-airline-crew-fixing-altitude-level-with-control-panel-buttons-flying-plane_29486430.htm

Crew management:

This is a very complex area and many variables must be evaluated such as flight routes, crew qualifications, types of licenses, types of aircraft, work regulations, vacations, and days off, among many others. For this type of work, technological solutions based on Artificial Intelligence have been created to analyze the risk of pilot fatigue due to the number of working hours and schedule changes in addition to assisting in the flight planning phase with pilots and attendants.

Food supply: 

Supply management specialists rely on AI tools to minimize losses and assess in detail the amount of food they have to carry on a specific flight and thus avoid having to waste food at the end of the day and minimize economic losses.