Automation can handle reports, emails, or even review responses, freeing up staff to focus on the human moments that no machine can replicate. ... Reprinted from the Hotel Business Review with permission from www.HotelExecutive.com .
LodgIQ: AI That Explains the ‘Why’ Today, LodgIQ uses generative AI to make complex revenue management tasks simple and understandable. ... Data, AI, and automation are essential but empathy, intuition, and memorable service remain at the heart of every thriving hotel.
. 💫 Fast forward to 2025 — and that same intuition is now being amplified by AI . But let’s be clear… AI isn’t replacing the art of selling. It’s redefining it. ... AI identifies renewal or upgrade potential. Pricing is becoming personalized, adapting to traveler behavior. Sales conversations are smarter, guided by AI insights before the first call.
I asked an AI to summarize what the focus groups said within the four themes I identified. 1. ... Reprinted from the Hotel Business Review with permission from www.HotelExecutive.com .
Align measurement Review lead nurture metrics together: open rates, click-throughs, booking conversions, and incremental revenue from voice and email combined. ... The future of hotel lead nurture: empathy meets intelligence As hotels adopt AI and smarter CRMs, lead nurturing will only grow more dynamic.
He is recognized for his expertise in harnessing AI and SaaS solutions to elevate hotel operations and profitability. ... And a lot of times you look at the reviews, it’s not even about the people, it’s about the environment.
Guest reviews are more than just feedback. They’re valuable data that power smarter hotel operations. ... By leveraging AI‑enabled sentiment analysis within a unified PMS, hotels can uncover patterns in reviews, from recurring issues to praise around mobile check‑in or service speed, and turn those insights
Customers want to ensure that what a property claims is verified in reviews. AI will ensure that there is accuracy across all channels. ... Travelers increasingly rely on AI tools to plan personalized vacations, and AI engines now evaluate properties based on structured data, reviews, credibility, and alignment with individual preferences.
and adopted by all the major AI companies. ... major AI platforms.
Emerging AI-driven attack methods further raise the stakes. ... Priority #3: Leveraging AI and Cybersecurity-as-a-Service (CSaaS) AI is transforming both sides of the cybersecurity equation.
At the heart of this year’s report is a clear message: the next five years in AI and talent strategy will define the next 50 for the industry. ... AI has moved from a future consideration to a current imperative. Its speed, scale, and potential are unlike anything hospitality has seen since computerization.
Modern travelers now expect fast answers to their queries, and they’re increasingly interested in properties using AI to better tailor responses and services to their specific needs. ... Your call-to-action (CTA) might be “Schedule a site visit” or “Review our group rates.” Family vacations: Highlight kid-friendly amenities, dining options, and local attractions.
AI analyzes guest sentiment across 47 review platforms while you sleep. Dynamic pricing algorithms adjust rates 600 times per day based on competitive intelligence your team can't humanly track.
AI Moves from Buzzword to Backbone In 2026, AI-driven pricing and messaging will reduce manual workload in revenue and marketing teams and lift conversion by adjusting prices, suggesting the right offers ... AI agents and guests won’t just take your price into consideration. AI agents will make decisions on your personality. Emotion becomes a performance metric.
If a person is not reviewing the results of the AI tool’s work product it may not be accurate. ... Further Considerations Regarding AI Use As noted, letting AI resources make decisions without human review is dangerous.
Take, for example, if a 70-room boutique property that installs three different AI systems within six months, one for chat, one for pricing, and one for review management. None were integrated. ... The AI Compass mindset helps here too.
Technology, AI, and the human touch How do you see AI and machine learning changing revenue management, and where should hoteliers still trust human intuition? ... AI is part of our lives now. Revenue Management systems have always used machine learning, and AI is the next step. But I am wary of companies who sell AI as magic without substance.
Looking ahead, expect technology and AI to play a larger role in facilitating outdoor hospitality experiences, from mobile check-in and online generated itineraries to smart room features that minimize ... Reprinted from the Hotel Business Review with permission from www.HotelExecutive.com .
AI models will assemble the personalized bundle in real time using price elasticity, live inventory, and guest context. ... We are still in the early innings Generative AI and predictive models already LIFT opt-in and conversion rates, but real transformation comes when hotels operationalize data and adopt AI-driven workflows
I call guests that I pull from reviews from revenue. So going back to the core of revenue. Right? Guest reviews. Right? I will pull it. ... Everyone talks about AI so much and so do we. Don’t get me wrong, but how do we use AI to enhance our personal human connections?