Booking.com Is Building AI Agents, But Who Knows the Traveler?

Booking.com is building AgentHub, an internal platform that helps its teams develop specialized AI agents using shared tools and infrastructure.

The goal is to make it easier to build agents that can handle different parts of the travel journey, from planning to booking and trip management.

One example is an AI agent that answers questions about properties by retrieving relevant information and calculating distances to landmarks and transportation hubs.

Read the original report on PhocusWire.

That’s a meaningful development.

But building an AI agent that can answer questions is one thing.

Getting it to complete a booking is another.

The industry is focusing on the agent

Travel companies are investing in AI assistants, trip planners and automated recommendations.

The goal is to make travel easier to discover and book.

But there’s a question that comes before checkout:

Does the system know who is booking?

Imagine asking an AI agent to find a hotel near your next meeting.

It finds the right property. It compares options. It makes a recommendation.

Now imagine asking it to book the same hotel you used last time.

That requires more than a good recommendation.

The system needs to identify you, access the relevant booking history and retrieve the information needed to complete the reservation.

Without that context, the agent may know what to recommend but still struggle to act on it.

Traveler recognition is part of the booking infrastructure

Travel brands already hold valuable customer information.

Previous bookings. Loyalty memberships. Traveler preferences.

The challenge is making that information available when it matters.

If a returning traveler has to start from scratch every time they book, the experience loses much of its potential for personalization.

The same problem applies to AI agents.

An agent can generate intent. But if the booking system cannot connect that intent to the right traveler and the information required for the transaction, the process can break down.

And the more booking activity moves into AI-powered experiences, the more important that connection becomes.

What travel brands should be asking

For airlines, hotels and other travel providers, the next step is to look beyond what their AI agents can answer.

Three questions matter:

Can we recognize a returning traveler with their consent?

Can we make the relevant traveler information available throughout the booking journey?

Can the customer move from recommendation to a confirmed reservation without repeating unnecessary steps?

These are practical questions about how existing systems work together.

They also help identify where a promising AI experience might lose the booking.

The next challenge is completing the booking

Booking.com’s AgentHub shows how shared infrastructure can help teams develop specialized AI agents.

For the wider travel industry, the next challenge is ensuring those agents can work with the systems that recognize travelers and complete transactions.

At Movmo, we believe traveler recognition is a critical part of that infrastructure.

Because an AI agent can find the right trip.

But the booking experience still needs to know who is traveling.

If you lead digital or distribution at an airline or hotel, can your booking system recognize a returning traveler when an AI agent is ready to book?

If you’re a traveler:

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