Ireckonu has warned that AI adoption in hospitality will fail to deliver value unless hotels first fix how they manage guest data. The hospitality technology provider argues that fragmented data across disconnected systems undermines personalization, damages guest experience, and prevents AI from working as intended.
Hotels are accelerating AI adoption for tasks like virtual assistants, service automation, and predictive personalization. But according to Ireckonu, most organizations are not data-ready. Guest information remains scattered across multiple platforms, making it impossible to build a single, reliable profile of each guest.
Hospitality's data problem starts with the PMS
Jan Jaap van Roon, CEO of Ireckonu, said the root of the problem is technology designed to manage rooms and reservations rather than guests.
"For decades, the PMS has been the operational backbone of hotels, connecting an ever-growing ecosystem of technology platforms. But most PMS architectures were never designed to understand guests. They were built to manage inventory and room nights," van Roon said.
He warned that implementing AI on top of disconnected systems can worsen existing problems such as duplicate guest profiles, inconsistent records, and the inability to recognize loyal customers. At best, these limitations prevent AI from delivering its full potential. At worst, they actively damage guest experience and brand reputation.
"When systems aren't connected, the true value of a guest becomes distorted. A regular visitor may be treated as a first-time customer, while a loyal guest receives generic communications. Without a unified guest profile, personalization simply isn't possible," van Roon said.
AI-ready requires trusted guest identity
Hanna Schiller, VP of Sales at Ireckonu, said the hospitality industry is focusing on what AI can do before addressing whether the data it relies on can be trusted. She said many hotel groups have invested years in new technology while overlooking data quality and governance.
"Many hotel groups are investing in increasingly sophisticated AI solutions while still relying on fragmented guest histories and disconnected systems that fail to provide a consistent view of the guest. The challenge isn't the technology, it's the data infrastructure supporting it," Schiller said.
She argued that becoming AI-ready requires hotels to resolve fundamental questions about guest identity: who owns it, which system serves as the single source of truth, and how data is governed, integrated, and protected across the entire technology ecosystem.
From a marketing perspective, Schiller said AI represents an unprecedented opportunity to change how hotels engage with guests. But she warned that AI initiatives are unlikely to deliver unless supported by a strong data strategy. For professionals seeking to strengthen foundational skills, targeted AI for Hospitality & Events training can help close the gap between technology adoption and data readiness.
"Hotel marketers have never had more powerful tools at their disposal. AI can generate campaigns, personalize content and automate processes at a speed that would have been unimaginable just a few years ago. But having the best AI technology without trusted data is like owning a Ferrari without fuel," Schiller said.
Why this matters for hospitality and events professionals
Poorly implemented AI does not just fail to deliver value - it amplifies existing problems. For hotel marketers, operations teams, and event planners, the immediate takeaway is that data strategy must come before AI investment. Without a unified guest profile, personalization, loyalty recognition, and automation all break down. Organizations that treat data as a strategic asset - and invest in understanding how to manage and analyze it through resources like AI Data Analysis Courses - will be the ones that actually see returns from AI adoption.
Your membership also unlocks:
