Speaking at ITB Berlin 2025, the firm said that its management software is built on what it calls ‘causal AI’ and can not only analyse data, but that it can also give hoteliers advice on what to do in certain situations.

The ITB Berlin 2025 presentation was given by Amit Popat, head of machine learning, and Nikhil Shah, head of data science. The pair said that the Cloudbeds platform processes four billion data points per hour in order to spot and diagnose issues, then provide solutions. That data, said Popat, comes in real-time from 50,000 hotels with forward-looking bookings.

He added: “In order to understand what causal AI is, let’s look at how things are done today. It’s like looking at a photograph—you can see what happened, but not why.”

He continued: “It may spot patterns in the data, but it won’t tell you what caused those patterns. With AI, though, it’s like watching a movie with a whole story. And here is what makes our approach so different—we pull in data from everyone that matters, not just your property.”

The software, he said, not only talks about the past, but defines what a hotelier should do in the future.

Shah used the example of a hotel in London that saw occupancy and revenue fall precipitously over one weekend. Using the Cloudbeds platform, he said, led to a rise in occupancy rates from 64% to 93%. There was also near a one-third rise in revenue per room.

Shah said: “Every guest interaction on the site and through the booking engine is being captured, understood, and leverage in order to build value for our clients. That’s not science fiction, but the potential of causal AI and cloud-based intelligence.”

Popat added: “It shows what can be done within the hospitality industry. It’s about bringing disciplines together holistically. What we’ve seen is that the hotels using this are seeing record levels of performance. Not just beating the competition, but redefining success within this industry.”