We’re seeing AI play an increasingly central role across the entire journey, from planning to how trips are experienced and reviewed. ... AI is already driving operational excellence When it comes to the hot topic of AI, we are seeing real-world impact, today. All hoteliers bar one said they are planning to invest in AI.
So we’re investing in AI agents — like on ChatGPT and the other AI platforms, we’re building in our own agents. ... A lot of hotels don’t want to put reviews on their website. They should, because again, AI trusts it.
“The term “technification” was first used in the 1930s, but it feels more relevant than ever as AI turbocharges automation,” says Kennedy. ... that are essential in this era of AI-Powered, conversational searches.
The technical review feels thorough because it produces documents: vendor security certifications, DPA addenda, a signed AI-use policy. ... Not who owns the AI strategy. Not who signed off on the RMS contract. Not which committee reviewed the vendor's SOC 2 report. Those questions matter — they are second-order.
already underway in more forward-looking hotels and accounting units is a move away from memory-based and relationship-based buying, toward something properly data-backed — inventory logs, purchase-review ... The properties best positioned to benefit from AI in procurement are, unsurprisingly, the same ones that already treat documentation and structure as non-negotiable.
over the AI-native startups competing for the same space. ... Real AI Containment Failures and What Hotels Must Do Now Pertlink's follow-up to its AI governance piece documents real incidents at OpenAI and Anthropic where AI agents breached containment parameters
Why a lack of AI readiness could be holding your hotel back Hotel teams talk about AI constantly, yet many still struggle to explain what being AI-ready actually looks like in practice. ... hotel is featured in AI search responses.
As AI and automation become more widespread, integrated technology will form the foundation of future hotel operations. ... AI cannot generate meaningful insights if operational information remains fragmented across disconnected systems.
The properties that look foolish in twelve months will not be the ones that moved slowly on AI. ... Made with the help of various AI tools – but always with a HITL.
The AI travel interface consolidation accelerates today. ... pattern, with trust in AI outputs already exceeding trust in many traditional review formats.
First, find out what AI says about you today. ... Strong, recent, specific reviews and clear content about what makes your property distinct don't just work to persuade humans anymore, they shape what AI tells your target traveler.
As ChatGPT, Google AI Mode, and Radisson's new app all begin executing hotel bookings, no settled commission structure exists for the AI agent layer. ... The piece closes a gap that every AI booking announcement in July left open.
By the time a negative review appears online or a guest satisfaction score falls, the operation has often been drifting away from its ideal state for hours or even days. ... Most discussions about AI in hospitality focus on chatbots, personalization or automation. Those applications are valuable, but they address interactions that are already visible.
Reputation management, review collection, review replies, and guest surveys remain core to the platform. ... At launch, it includes: Reputation management and review collection to centralise guest feedback from key online review portals, with a redesigned Review Inbox to reply directly, schedule replies, and
Questions and Answers from This Article Why is AI governance becoming more important than AI adoption in hotels? ... How will AI change hotel technology systems such as the PMS?
Read the report → What 224,000 World Cup Guest Reviews Reveal About Hotel Performance Shiji's benchmark of 224,171 reviews across 1,819 hotels in 14 World Cup host cities finds Mexico outperformed the ... decisions, with AI-driven discovery shifting where those signals are found and weighted.
stronger convention calendars in many cities this spring, a surge in lodging demand in Minneapolis during heightened ICE enforcement activity in early 2026, and the Bay Area’s continued rebound as a hub for AI ... When reviewing hotels in low-barrier-to-entry markets, exit cap rates in the 6% to 7% range should prompt additional due diligence and review.
Document pre-AI baselines, expand incrementally to adjacent departments that share the same data layer, maintain human-set guardrails with regular review, and create a feedback loop where staff input helps ... the AI improve over time.
Which Kitchen Tasks Can AI Improve Today? ... A broader review of AI workforce optimization highlights predictive demand forecasting and skill‑based scheduling to reduce overstaffing/understaffing and improve service quality and employee well‑being
At the same time, hiring teams may spend significant amounts of time reviewing applicants who do not match the role, property or location. ... AI in Paathz scans, structures and matches candidate information to support hiring teams. It does not make hiring decisions.