The hospitality industry has been talking about AI for years — usually in the context of chatbots, basic automation, or predictive pricing. But something much bigger is now taking shape. Mews, the hospitality and shared-spaces operating system used by hotels and accommodation brands around the world, has just acquired DataChat, a US-based AI company specializing in conversational data intelligence. And this move signals a shift from “AI as a tool” to AI as an active operator inside hotel systems.

This isn’t just about faster reporting or automated tasks. It’s about building agentic hospitality systems — platforms where intelligent agents can autonomously manage workflows, optimize decisions, and support staff in real time. In other words: systems that don’t just assist—they think and act.

Let’s walk through what this really means for the industry.

Why DataChat Matters to Hospitality

DataChat’s core product is a conversational intelligence platform. Instead of requiring teams to run SQL queries, interpret dashboards, or wait on analysts, DataChat allows staff to simply ask business questions in everyday language:

“Which segments are driving the highest ADR this month?”
“How will occupancy shift if we increase weekend rates by 8%?”
“Show me guests who typically book spa treatments but didn’t on their last visit.”

And it generates the analysis, models, and suggested actions automatically—no coding or technical training required.

This is the critical leap. The hospitality industry generates enormous volumes of data—every booking, every transaction, and every interaction is a datapoint. Hotels have data, but not always the capacity to use it. DataChat helps close that gap.

From “Software That Helps” to “Software That Acts”

Mews has been positioning itself as more than a PMS for years. Its platform already connects operations, payments, distribution, and guest experience tools in a unified ecosystem. The DataChat acquisition accelerates the next step: autonomous and semi-autonomous agents inside Mews.

Think of agents that can:

• Adjust rates dynamically when demand shifts—without being prompted
• Detect unusual operation patterns before they become performance issues
• Personalize guest experiences based on past behaviors and preferences
• Reduce manual reconciliation and administrative routines to near zero

Or more simply: technology that does the heavy lifting so humans can focus on hospitality, not screens and spreadsheets.

“Agentic Hospitality”: The Real Shift

Richard Valtr, founder of Mews, phrased it clearly: hotels are one of the most data-rich industries — but the real opportunity is in activating that data. With DataChat’s team and patented NLP systems, Mews aims to create platforms that learn, adapt, and improve continuously.

This is not about replacing staff. It’s about removing friction.

The future front desk may spend less time clicking and more time connecting.

How This Fits Into Market Trends

Mews is not the only company exploring AI-first hospitality systems—but it is one of the most aggressively future-focused.

• Oracle OPERA is modernizing and integrating automation but remains largely enterprise and incremental.
• Cloudbeds has built strong automation workflows yet focuses primarily on efficiency, not agent intelligence.
• Duetto is leading in AI-driven revenue optimization, but not full-stack operations.

What makes the Mews + DataChat combination different is the scope:
Not one domain — but the entire operating layer.

Analysts across travel tech research firms like Skift Research and Phocuswright have been pointing toward a coming phase of AI-orchestrated service delivery. This acquisition is one of the clearest steps toward making that phase real.

The Bottom Line

This acquisition isn’t just another corporate announcement — it’s a signal of where hotel technology is heading.

The future of hospitality tech won’t be defined by property management systems, revenue systems, or CRMs operating as separate tools. It will be defined by agentic systems — where intelligent platforms manage operations dynamically, and human teams focus on the part of the job that has always mattered most: making people feel welcome.

Mews is betting that the future arrives sooner than most expect. And with DataChat now in its corner, that bet just became a lot more serious.