The dojo.live show / Interviews with Visionaries Shaping Travel Tech

There are a handful of genuinely useful insights buried in the episode - the historical lock-in of GDS room types, the transaction-count explosion, and the 20% adoption figure - but large swaths of the conversation are padded with generic AI-opportunity-and-threat framing and anecdotal rambling that a B2B operator would already know.

“for one reservation, when I joined Amadeus, 30 something years ago you would do on average 16 transactions for a booking. And today it's moving into the realm of 200,000 transactions per booking”

“hotel rooms were hard coded actually when the GDSs were conceived in the late 60s”

The logical decomposition of room attributes away from hard-coded GDS room types is a genuinely fresh operational idea, but the rest of the episode recycles familiar AI-is-an-opportunity-and-a-threat language, data-quality-as-bottleneck talking points, and ecosystem-partnership platitudes that circulate widely.

“let's forget about room types because every inventory system today...is a derivative and lives with that hard coded sort of way of looking at it”

“is the way we're going to search using AI techniques, is that going to reduce the element of loyalty because you're looking for other things beyond just let's say the known part”

Paco Pérez-Lozao is a genuine senior practitioner - President of Hospitality at a major travel-tech company with 30+ years at Amadeus and direct involvement in IHG product development - but the context is an Amadeus promotional media event, which pulls some answers toward marketing language rather than candid operational depth.

“when I joined Amadeus, 30 something years ago”

“together with Interconti years ago, uh, uh, we sort of developed is a concept of”

The episode earns credit for a handful of concrete numbers (€1.5B annual engineering spend, 600 AI projects, 20% adoption at House of Travel, 73% rebooking stat, 200,000 vs. 16 transactions per booking), but large sections - sustainability, privacy, and the general AI-and-data commentary - are handled with wave-of-the-hand abstraction.

“1.5 billion, um, euro a year that we have to spend on engineering to just keep going”

“they saw, by the way, a 20% adoption of that”

The host is clearly prepared - she references specific research findings and a prior episode - but her questions are consistently multi-part and compound, she frequently leads or completes the guest's answers, and she never pushes back on a single claim, letting vague assertions about data, privacy, and sustainability pass without challenge.

“disruption management is definitely a space to focus on”

“And given this investment and we talked about this kind of flow. The inspiration, the inspiration Piece comes the conversion. Hopefully, you know, agentic AI that becomes the booking.”