Artificial intelligence is gradually transforming every link in the tourism chain. At Trainline, it's no longer confined to a few experiments. The British platform now uses it to anticipate disruptions, automate certain customer requests, improve its productivity, and above all, prepare for the emergence of a new distribution channel: conversational engines.
During a presentation held in Paris on June 3, 2026, Réda Kechouri , Trainline 's Director of Machine Learning and Artificial Intelligence , detailed the group's strategy. Behind the technological demonstrations, a clear message emerged: the future of rail booking could lie as much in ChatGPT, Gemini, or Claude as in traditional search engines.
Summary
Trainline wants to become a smart travel companion
With over 27 million active users across 40 countries and connections to 270 rail and bus operators, Trainline has a particularly large volume of data. According to the company, nearly 350 travel searches are processed every second.
This wealth of data allows the group to develop services based on machine learning and language models to make the traveler experience smoother and more personalized.
The strategy is based on three pillars: improving the customer experience, being present in new conversational environments, and productivity gains achieved through generative AI.
An AI capable of anticipating rail disruptions
One of the most advanced projects is called Travel Forecast. Deployed in the United Kingdom, this technology continuously analyzes the state of the network in order to identify incidents likely to cause cascading disruptions.
According to Trainline, the system is capable of anticipating certain situations up to two hours before they have an effect on the network.
Travelers then receive personalized notifications and recommendations tailored to their journey. Since its launch in December 2025, nearly three million travelers have already benefited from these predictive alerts.
To achieve this result, Trainline combines classic predictive models with language models designed to rephrase information to make it more understandable and relevant to each user.
Automation is progressing in customer service
Artificial intelligence is also playing an increasing role in managing traveler requests.
In the UK, the Delay Repay feature aims to simplify the process of claiming compensation for delays. While some processes remain subject to regulatory constraints imposed by rail operators, Trainline is continuing its work to further automate claims processing.
The platform has also developed a conversational assistant based on a multi-agent architecture. Unlike a traditional chatbot, this tool is not limited to providing answers. It can also perform certain actions, such as processing a refund request or providing operational information about a trip.
According to figures released by the company, more than 500,000 conversations have already been processed. Approximately 32% of refund requests are now handled automatically, and only 8% of conversations require human intervention.
The next battle of the journey takes place in ChatGPT
The most strategic aspect probably concerns distribution.
Trainline believes that search habits are changing rapidly with the rise of chatbots. The company already has an integration with ChatGPT that allows a user to search for a train route in natural language before being redirected to Trainline to complete their booking.
The traffic generated by these environments remains limited. According to the company, it represents between 1% and 2% of its total traffic. However, the momentum is strong, as sales from these channels have reportedly increased thirteenfold in one year.
The phenomenon would be particularly visible among international travellers planning rail itineraries in Europe.
For tourism professionals, this development may mark the beginning of a major shift. Visibility in AI-generated search results could gradually become as important as traditional SEO.
A strategy that goes beyond the railway sector alone
Trainline is also working on new voice interfaces in partnership with the British company ElevenLabs. The aim is to facilitate interactions with customer service and improve the accessibility of the services offered.
Meanwhile, marketing and technical teams are already using generative AI to accelerate content creation, produce visuals, and test new products more quickly.
This approach illustrates a broader trend observed across the travel industry: artificial intelligence is no longer just an assistance tool. It is gradually becoming a technological layer present in customer relations, distribution, support, and production.
What Trainline's strategy really reveals
Beyond the technology, Trainline primarily shows how travel industry players are beginning to prepare for a world where searches will no longer be exclusively conducted through Google.
The British platform uses artificial intelligence to solve concrete problems: better informing travelers, reducing processing times, personalizing interactions and gaining operational efficiency.
But it is also investing in another area: its visibility in conversational search engines which could become a major gateway to tourist bookings in the future.
For travel agencies, distributors, and mobility providers, the message is clear: competition will no longer be based solely on price or inventory. It will also depend on the ability to thrive in new ecosystems driven by artificial intelligence.
Sources
https://www.tourmag.com/Comment-Trainline-utilise-l-IA-pour-les-voyageurs-la-distribution-et-gagner-en-productivite_a132030.html
https://www.tom.travel/2026/06/03/trainline-une-experience-qui-est-personnalisee-et-proactive/
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