As we move into an era driven by automation and AI, the most successful hospitality brands will remember that technology is not the end-all, be-all. ... Reprinted from the Hotel Business Review with permission from www.HotelExecutive.com .
Cloudbeds Revenue Intelligence , powered by the only causal AI built exclusively for hospitality, now manages pricing after outperforming third-party revenue management software previously tested by the ... With Cloudbeds as the central platform, the team can remotely manage reservations, guest communications, housekeeping workflows, maintenance, reconciliation, reviews, linen ordering, and day-to-day operations
For decades, that discovery journey was a friction-filled exercise of tabs, filters, and reviews. AI is fundamentally rewriting that experience. ... At Conrad New York Downtown, we have partnered with Travel Media Group to apply generative AI to our review response and sentiment analysis process.
The piece connects directly to this week's AI accuracy thread. ... Quality content, review volume, social presence, and accurate listings across third-party sources are the foundation AI discovery builds on; hotels optimizing for ChatGPT before addressing those fundamentals
And that gap gets written down, in a review, in a follow-up conversation, in the next AI summary that pulls from it. ... Second: where would the AI go to check its answer? Almost certainly your reviews, your third-party listings, and whatever press exists.
Stephanie Smith recently joined The AI Reality Check Series with Revenue Hub to discuss how AI is influencing hotel digital marketing and how hotels can leverage it effectively, especially if they’re not ... Recent and positive reviews : Reviews impact AI’s “memory” of the hotel, with older negative reviews still affecting perception.
Brian Hicks, President and CEO of HSMAI 2026 Adrian Awards Entry Categories: Advocacy Leadership & Community Impact, in partnership with Destinations International AI Powered Marketing Best Airline Campaign ... Each entry is reviewed independently by multiple judges and scored across five equally weighted criteria: objectives, strategy, creativity, execution, and results.
HITEC 2026 Booth Conversations Revinate Chief Revenue Officer Frank Trampert made an argument on the HITEC floor that cuts against the week's AI personalization thread: AI, he says, trusts your guests' ... The hotels that will win in AI-mediated discovery are the ones whose guests' actual behavior, reviews, return rates, spend patterns, matches what the brand claims about itself: Revinate thinks the AI trusts
Better guest experiences improve online reviews. Better reviews strengthen pricing power. Ultimately, investing in people supports financial performance. ... At the end of each month, managers reviewed Occupancy, ADR and RevPAR before deciding what actions should be taken next. Modern technology has fundamentally changed that process.
Timed to the launch of its latest top dining list, OpenTable is also unveiling an evolution to Concierge, its AI-powered dining assistant, now available directly on the OpenTable homepage to power restaurant ... Restaurants with a minimum threshold of diner reviews were considered and evaluated by a compilation of unique data points, including diner ratings and the percentage of five star reviews.
HSMAI Europe’s whitepaper, created by the AI Advisory Board, argues that this is now changing. ... The whitepaper covers key areas including AI-enabled guest communication, customer data, review-driven experience insights, direct booking potential, operational efficiency, privacy considerations and
What is an AI guest journey personalization agent? ... That's the difference between a hotel that reacts to reviews and a hotel that prevents them. Where should hotels start with AI in guest experience?
Now is an ideal time for you to review forward-looking demand data, booking curves, and your pricing and marketing strategies, to see what potential there is to be squeezed from this period. ... By fusing forward-looking demand signals, real time competitor intelligence across hotels and short-term rentals with AI-driven rate recommendations, Lighthouse Pricing gives you the clarity to set the
That review now sits in the discovery layer, retrievable, ready to be read by every AI system assembling an answer about that hotel. ... It is also, notably, where nearly all the AI discovery signal is assembled, because AI is not reading your GDS entry. It is reading the descriptive surfaces.
So that’s still gonna happen in AI. ... We’ve probably all experienced an AI chatbot or an AI sort of text messaging system that, oh, this is cool, they’re like using AI to respond to me, but it’s still really, really clunky.
His ROI case is the voice AI product. ... The AI agent picks up every time.
By leveraging AI, automation, and real-time data, hotels can create experiences that feel unique to every guest. ... Reprinted from the Hotel Business Review with permission from www.HotelExecutive.com .
They chose your hotel partly for the restaurant — the well-reviewed dining room the AI described when they were planning. Except that restaurant closed six months ago. ... The AI didn't know. It read a year of glowing reviews and told them what used to be true, in the same confident voice it used to recommend you.
The conversation covers what that framing means for how hotels should evaluate AI vendors, and why Lighthouse is building toward AI that hotel revenue teams can hold accountable: Lighthouse's AI is built ... Read the analysis → Build Big, Build Small, or Not at All: Pertlink's 12-Month AI Roadmap for Hotels Pertlink translates eight AI engineering signals from MIT Technology Review into property-level decisions
The “AI Coworker” Trap SOURCE SIGNAL — The Algorithm — “AI agents are not your ‘coworkers.’” ... Don't let “the AI handled it” become an acceptable answer in a service-recovery review. 05. Open-Source Models Lower the Entry Price SOURCE SIGNAL — “China's open-source bet.”