How Airliners Are Utilizing Artificial Intelligence and Data Science to Streamline Processes?

From new and advanced engines to robust glass cockpits, the constant development and improvement of technology has greatly revolutionized the aviation industry and how they carry out operations. In more recent years, technology has further benefited the industry by allowing organizations to improve upon their operations with the use of artificial intelligence and data science. From customer service to the maintenance of aircraft systems, technology has opened up many avenues for greatly increasing the efficiency, safety, and overall streamlining of all processes. In this blog, we will take a look into the various operations and procedures that are seeing the greatest impact from the development and implementation of such data-driven technologies.

Across the various operations that airliners and aircraft operators undertake, air safety and maintenance are two crucial sections in which improvements are always sought after. On average, up to 30 percent of all delay times that occur for airliners are the fault of maintenance and technical support that is unscheduled. As such, high amounts of revenue can be lost as delays, cancellations, and maintenance endeavors all affect scheduling and operations. To remedy this, airliners are implementing technology that allows them to have more predictability for conducting maintenance. With predictive maintenance technology, airliners can save money by having more streamlined parts procurement and transportation, ensuring overtime is avoided, and creating better plans for unforeseen maintenance. With such software, responding to such incidents can also be conducted much more rapidly, allowing for increased organization.

Aircraft artificial intelligence and data science can also affect revenue for airliners in other ways, such as with revenue management. By utilizing AI technology, airliners can sell products more efficiently by having automatic price setting. To achieve this, analytics are used to generate a price for an individual through the correct channels based on fair prices and passenger data. As individuals tend to have different feelings about what particular product is worth, analytics and artificial intelligence can be more efficient at finding their right price. By utilizing such data science and implementing it in the correct markets and avenues, airliners can provide competitive, yet fair, prices for customers. Generally speaking, some of the main factors that artificial intelligence takes into consideration for its pricing models include what flight routes are in demand, a customer’s willingness to pay, expected marginal seat revenue, and ancillary analytics-driven pricing. With flight routes that are in demand, the application will utilize flight history across various data groups in order to determine what the most popular routes are for specific times and locations in order to dictate what pricing should be. Then, the computer also analyzes customers from various target groups to consider their behaviors in order to generate a price that meets their needs and willingness. Through the use of a median price, artificial intelligence can then create an optimal value alongside market demand and supply. With the addition of expected seat filling and estimations on what ancillaries a passenger may buy, the pricing can further be refined accurately and automatically without the constant adjustment from an individual.

For the passengers themselves, artificial intelligence and aircraft data science can allow for the improvement of the experience as a whole through the analysis of travellers through a flight. By analyzing traveller feedback, market research, and other experiences, airliners can pinpoint the various stressors that passengers commonly face during a trip. Whether a bag check is taking too long or passengers often get lost when finding a gate, such information can be gathered in order to find what sectors need the most attention for improvement. As a result, artificial intelligence allows for airliners to be more on-top of their services and operations for the benefit of travellers themselves with the overall effort centered around making the experience as pleasant as possible.

Alongside improving operations for the sake of customers, automation and technology also seeks to make remedying situations quicker when they occur. When a passenger has their luggage misplaced or a flight is cancelled, for example, passengers will undergo stress. As such, it is crucial that the airliner can assist them as quickly as possible and find a solution that accommodates their needs. If a customer is not helped, they may choose to avoid the airline in future travels. To avoid such a situation, AI software has begun to be implemented that utilizes algorithms in order to automate customer service.

Artificial intelligence and aircraft data science can also improve upon the scheduling and management of crew members as well, assisting in the organization of thousands of flights per day. By analyzing aircraft types, work regulations, crew member qualifications, flight routes, and much more, the process of assigning a workforce can be conducted much easier and efficiently. Furthermore, such technology can also highly benefit crew members themselves, ensuring that their terms of employment, benefits, and rights are maintained. This technology also assists in maintaining more general safety for flight, as it can prevent the overworking of members so that they are not fatigued from constant scheduling.

Alongside scheduling employees, improvements in technology have also increased aircraft fuel efficiency as well. By utilizing robust artificial intelligence with learning capabilities, flight data from the aircraft navigational system can be recorded and analyzed in order to find an optimal fuel amount that can accommodate specific distances, weather, aircraft types, and more. As such, airline operators can ensure that they are not wasteful in their usage of fuel, thus saving money and decreasing their emissions for more environmentally-friendly flights.

Lastly, aircraft artificial intelligence and data science also benefits the supply of food and drinks for passengers, as data can be used to determine the correct amounts needed for a given passenger load. As such, airliners can further their reduction in waste by maintaining a sufficient amount of supplies without exceeding needs. While food may not be high in costs, optimizing the amount carried is still important for maintaining cargo weight and reducing waste.

Through the use of artificial intelligence and data-driven science, countless procedures and operations can be improved upon for the benefit of passengers, crew members, operators, and owners alike. At Aviation Orbit, we can help you secure the parts and systems that you need for your operations with ease. As a leader among parts distributors, we leverage our purchasing power and market expertise to provide you with time and cost savings on over 2 billion items that we carry. Begin the purchasing process today and receive a personalized quote when you fill out and submit an Instant RFQ form as provided through our website.


June 18, 2024
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