AI for travel companies: bookings and info in every language

The week after Christmas, the phones do not stop. Summer brings a second wave, and the moment there is a strike or a weather warning somewhere, your inbox is full within the hour. A travel company runs on those peaks, and that is exactly when your team is stretched thinnest while your customers are most on edge. Using AI in travel is about those moments: catching the repeatable questions, in any language, at the hour that suits the traveller and not you.

This is the level-headed version. No promise that a chatbot replaces your booking desk, because it will not. Just an honest look at where AI in travel actually earns its keep, where you should keep it away, and how to set it up without customers feeling like they are talking to a wall.

Why travel is a tricky sector for customer contact

Travel questions are rarely simple. A booking hangs on a system, a supplier, a cancellation clause and often a heavy dose of emotion. Someone calling about a missed connection is not waiting for a link to the FAQ. At the same time, a large share of what comes in is genuinely predictable: where is my voucher, can I still change my name, what is the baggage limit, until when can I cancel for free.

At many travel providers, that repetitive part sits somewhere between half and three quarters of all incoming contact. That is an observation from practice, not a hard figure for your organisation, so measure it yourself before you buy anything. But if it comes anywhere close, it means your team spends a big chunk of the day on questions that need no human judgement.

Where AI in travel actually works

The strength of AI is in catching that first layer. Not the exceptions, but the volume. In concrete terms:

• Booking status and documents. Where is my confirmation, my e-ticket, my hotel voucher. When the AI looks live inside your booking system, it gives the real answer instead of a generic line.
• Change requests that fall within the rules. A name correction, an extra bag, adding a transfer. The AI explains the conditions and tells the customer exactly what is and is not possible.
• Practical travel info. Check-in times, baggage rules, required documents, what to do in case of a delay. Questions with a fixed answer that people still want to double-check.
• Multilingual service. Answering the same question in Dutch, German, English or French without hiring someone for every language.

That last point carries more weight in travel than in most sectors. Your customers are abroad, in other time zones, and plenty of them do not speak Dutch. A German guest standing in a hotel with a problem on a Sunday evening does not want a mailbox that opens at nine on Monday.

Multilingual without a call centre per language

Multilingual support has traditionally been solved with people: someone for the German market, someone for the French, English on top. That works, but it scales badly and it grinds to a halt the moment that one person is off sick or on leave. An AI agent switches language based on what the customer writes and keeps the quality even. The German customer gets the same answer as the Dutch one, just in German.

The real work is not in the translation, the technology handles that fine. It is in filling the knowledge: your cancellation terms, your destination info, your house rules. Those have to be correct and up to date. An AI that speaks fluent German but quotes the wrong baggage rule is worse than no AI at all.

The peaks around holidays

Holiday peaks are the moment where AI makes the biggest difference, and at the same time the moment where you have to be most careful. On a day like that, a multiple of the normal volume comes in. An AI layer that catches the standard questions keeps your queue liveable. Without that layer, wait times climb, people drop off and dissatisfaction spikes at exactly the point where you can least afford it.

The flip side: peaks often coincide with disruptions. A cancelled flight, a blocked road, a hotel that is overbooked. Those are precisely the cases where someone needs a human and not a script. So make sure your AI knows when to let go. A good setup recognises frustration or complexity and hands the customer over to an agent, with the full context of the conversation attached, so that person does not have to ask again what is going on.

What you should keep away from AI

Some things you do not leave to an AI, however tempting it is. Complaints with an emotional charge. Compensation discussions where goodwill comes into play. Situations where someone is stuck somewhere and really needs help. There you want a human, and there you want the customer to reach that human quickly.

The trap is that you let the AI do too much because it looks good on paper. A high automation rate feels like a win, but if it means an angry customer gets sent round in circles by a bot four times, you lose exactly the customer you meant to keep. Better to pick a lower rate and a smooth handover.

An AI that raises its hand in time and passes the customer on with context is worth more than an AI that tries to solve everything itself.

How to set it up without the hassle

Start small and concrete. Pick one or two channels where your volume sits, usually webchat or email, and the handful of question types that come back most often. Let the AI read live from the system where the real answers live. An agent that can pull up the booking status is an order more useful than one that only recites generic text.

1. Take stock of a week of questions and sort them by type and language.
2. Fill the knowledge: terms, destination info and house rules, current and checked.
3. Connect the AI to your booking system, so answers are real and not generic.
4. Set clear handover rules: when to let go and to whom.
5. Run it alongside your team for a few weeks, listen back to the conversations and adjust.

For the channels themselves, it helps if everything lands in one inbox. A customer who starts on WhatsApp and later emails does not want to tell their story twice. Platforms like Conveya bundle webchat, email, WhatsApp, social and telephony in a shared inbox and read from systems like your booking platform or CRM, with EU hosting for GDPR. The principle holds broader than whatever tool you pick: one place, real data, a clean handover.

What you realistically get out of it

No miracle cure. But a first layer that catches most of the repetitive questions, in any language, on a Sunday evening and in the middle of the summer peak too. Your team keeps time for the cases that really matter: the stranded traveller, the complaint that deserves attention, the doubter who needs a nudge. That is the work people are good at and AI is not, and that is exactly why it is a waste when they never get to it.

Start by measuring, automate the volume, guard the handover. Do that well and your peaks become manageable again instead of something you dread.