Generative artificial intelligence is changing the rules of airline distribution. From dynamic pricing to personalised offers, practical use cases are multiplying and profoundly transforming the air transport value chain.
A paradigm shift in distribution
Traditionally, airline distribution relied on rigid systems (GDSs) with standardised formats. Generative AI can now interpret natural-language requests, generate personalised offers and automate processes that previously required significant human involvement.
Practical use cases
1. Enhanced dynamic pricing
AI models analyse hundreds of variables in real time — demand, competition, seasonality, customer profile — to optimise revenue management. Airlines deploying these solutions are seeing significant improvements in yield.
2. Personalised offers
Generative AI enables tailored packages combining flights, accommodation, ancillary services and insurance, adapted to each traveller’s profile and history.
3. Conversational assistance
New-generation chatbots powered by LLMs can handle complex requests: itinerary changes, disruption management and personalised recommendations.
4. NDC content optimisation
AI helps airlines structure and enrich their NDC offers with rich content (images, descriptions, comparisons), automatically generated and adapted to each distribution channel.
Challenges to address
Despite its potential, adopting generative AI in airline distribution raises important questions: answer reliability, passenger data protection, integration with legacy systems and team training.
Outlook
Generative AI is not a future revolution: it is already underway. Businesses that integrate it pragmatically and proportionately into their operations will gain a significant competitive advantage in the years ahead.