Application of Artificial Intelligence in Airline Customer Service

The article examines the scope of artificial intelligence for analyzing the behavior of airline customers, identifying their preferences, as well as bottlenecks in communication and customer support. Expected trends and innovations in the use of these technologies include the development of deep machine learning models, speech recognition and generation (NLP) technologies, integration with multichannel platforms, advanced analytical tools and automation of complex tasks. The introduction of these technologies into airline customer support not only improves the efficiency and quality of service, but also helps to create a more personalized and adaptive experience for passengers. In the face of increasing competition and customer expectations, Artificial Intelligence is becoming a key factor in ensuring the sustainable development and competitive advantages of airlines.