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Ten Instances Showcasing the Impact of AI on Airline's Processes

30 June 2023

Recent advances in technology have altered how companies communicate with their clients, make tactical choices, and design workflows. Today, it is predicted that the aviation industry will be highly affected by the evolution of Artificial Intelligence and analytical systems. AI does not only enable the improvement of customer workflows, but also advances automation, self-service solutions, and provides higher levels of safety through predictive and prescriptive aircraft maintenance. Through the evolution of data management, AI also enables airlines to make informed decisions about pricing and market positioning. Analytics, maintenance activities, customer support, and many other internal processes and jobs can be streamlined and automated using artificial intelligence and its cognitive technologies that make sense of data. 

Here are 10 instances of how  the application of AI can affect an  airline’s processes:

Flight Management (FM)

• AI platforms use real-time data gathered from numerous sensors and outside sources to assist flight management and improve the flight path. This enables pilots and dispatchers to find the best routes, use better judgment throughout the flight, and minimize delays brought on by inclement weather, turbulence, etc.

Self Service at Airports

• Automated check-in kiosks are only the beginning of the passenger trip automation. To facilitate and speed up passenger flow from check-in through to boarding, airlines and airports now use end-to-end systems across various terminals. Intelligent systems use document scanners and biometric technology to identify and authenticate passengers at security checks. Contactless baggage handling is made possible by baggage identification technologies like Bags ID, which can recognize individual bags based on their distinctive physical traits. All these innovations speed up passenger check-in and enhance user experience.

Fraud Detection

• Airlines use sophisticated, machine learning (ML)-based analytics tools to evaluate data from numerous sources, identify fraudulent transactions, and improve passenger authentication and payment security. In addition to direct fraud, so-called revenue leakage also causes costs for airlines. No-shows and cancellations, fare inconsistencies, tariff misuse, and other factors are some of its sources. Modern analytical tools make it easier to spot examples of possible revenue leakage and take preventive action.

Supply Management 

• With the help of AI, supply management experts can predict and determine how many snacks and drinks can be brought on board, thereby optimizing the perishable inventory and minimizing waste.

Fuel Efficiency

• Airlines collect and analyze flight plan data pertaining to each route's distances and altitudes, aircraft type and weight, weather, etc. Using AI systems with built-in machine learning algorithms, the ideal amount of fuel required for a trip based on data results can be determined.

Crew Management 

• The software that integrates data from numerous sources is used by employees providing them with  a complete picture of everyday activities. This helps  create an ideal timetable in terms of working time, crew qualification, aircraft usage, and costs by using the newly discovered insights. In other words, this type of software combines airline operations management systems and predictive modeling. Some crew management strategies make it possible to address the fatigue risk that pilots face because of frequent time zone changes, long shifts, shifting schedules, and other "pleasures" of the airline industry. 

Automation of Messages to Passengers

• Customers will probably not choose an airline for their subsequent journey if they don't receive a response or explanation of an issue (delay, luggage loss,.)from an airline representative in a timely manner. AI software speeds up and simplifies customer service employees’ workflows by using algorithms for processing natural language or unstructured text. 

Analysis of Data/Feedback 

• Airlines that discover through data analysis airport difficulties and flight experiences can enhance customer service. Using AI for market research and feedback analysis enables airlines to make knowledgeable decisions and satisfy customers. AI solutions can swiftly enable airlines to ascertain whether there is a chance to favorably intervene in the passenger journey and transform a disappointing experience into a wonderful one. Data review, categorization, visualization, and sentiment analysis are all features of the AI engine, freeing up humans to focus on more difficult jobs;  the AI engine uses information to perform much of the manual and time-consuming work.

Safety and Maintenance 

• To manage the data from aircraft health monitoring devices more effectively, airlines are implementing predictive maintenance technologies. These systems often work with desktop and mobile devices, giving technicians access to both current and past data wherever they are. Employees can identify problems pointing to potential malfunctions and replace parts proactively by being aware of an aircraft's present technical state through alerts, notifications, and reports.
• Dashboards allow executives and team leaders to view information on maintenance operations, tool and component inventories, and expenses. An airline can cut costs associated with unscheduled repairs, staff overtime pay, and expedited part transportation by using predictive maintenance. 
• The logistics crew that supports the technicians in the field can receive advice from AI in real-time. The ultimate result is a maintenance organization that responds to the environment intelligently.

Revenue Management

• Experts use data to study demand for  various client segments to determine willingness to pay (WTP).   The application of AI and analytical tools can be used to advise the WTP and draw the optimization model for Expected Marginal Seat Revenue (EMSR). 

AviaPro Consulting Inc. has more than 20 years of industry experience dealing in every aspect of the aviation market, operating in Commercial Aircraft and Business Aircraft worldwide. AviaPro Consulting is associated to an extensive network of aviation companies and professionals. AviaPro provides high value consulting services with high value added, dedicated, and customized to its clients’ distinct needs for analysis, information and project execution.

We are here to discuss your future. Please reach out to Ali at ali.kassir@aviaproconsulting.com or connect with him on LinkedIn to learn more.

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