The Hotels Network launched the first direct booking app for ChatGPT, allowing hotels to compete with OTAs in AI-powered travel recommendations.
Kiosk.eu promotes their European-built self-service kiosks as hardware-first solutions that integrate with PMS systems to automate check-in while enabling staff to focus on personalized guest service.
The AI assistant handles complex multi-step tasks like room assignments and overbooking through natural language, trained on hotel-specific processes.
AI requires contextual, real-time guest data rather than static personas to deliver effective personalization and capture revenue opportunities.
Survey of U.S. customers reveals 49% are more comfortable with AI support, but 68% still prefer human agents when problems arise.
The article outlines AI-driven revenue optimization, unified data platforms, and mobile-first guest services as the core technology priorities reshaping hotel operations.
American Liberty Hospitality reports 10-15% F&B revenue increases and 10-20% faster service after deploying mobile POS across five properties.
TrustYou and Apaleo's joint solution enables hotels to provide 24/7 AI-powered guest communication across all channels from booking to post-stay.
Mirai argues hotels need AI infrastructure designed for conversation in addition to web browsing to compete with OTAs in the new conversational commerce era.
Fliggy's AI bookings surged 800% during Spring Festival, with attraction tickets up 24-fold as consumers shift from AI search to task execution.
Canary won the 2026 HotelTechAward based on verified hotelier reviews, with its platform allowing mobile tipping without app downloads.
UrVenue will demo its unified platform for managing resort amenities at the April gaming convention, previewing new features like 3D seat maps and multi-day bookings.
The startup raised funds from Founderful to expand its AI platform that processes group booking emails in 30 seconds, reducing response times by 75% and boosting conversion rates up to 15%.
AI Wizard positions itself as a solution to bridge communication gaps between data-heavy revenue managers and commercial leadership teams.
Oh boy, dear Simone, looking 5-10 years ahead with so much happening during one month is a bit above my weight class. Which of course doesn’t prevent me from giving my quick comments 😉
AI systems now help hotels anticipate sudden demand spikes from flight disruptions by analyzing airline data and passenger patterns in real-time.
Bartnick argues that technology failures in hospitality stem from poor user understanding and lack of clear guidance, not flawed systems themselves.
In a word, no.
Hotels can increase total guest revenue by up to 10% by integrating wellness services into their PMS rather than managing them as separate amenities.
In a word, no. Websites were designed to entice humans to view, discover, consider, buy. They are heavy with images, HTML, JavaScript, etc. to entice us in and encourage us to dwell. APIs were invented for M2M, machine to machine, transactions.
Agents will be everywhere, but behind the scenes. Booking agents are a short-term solution; using AI to simulate human behavior is like asking for a faster horse. Agents that behave as people, visiting websites and simulating human behavior (clicking on links, filling forms) are an incredible technological feat, but are a poor solution to most real-word problems: - Agents are very slow, because they have to replicate user paths built for humans- They fail often, because every website they visit is differentThe future will be MCP- and API-based, with agents interacting with those MCP/API.
Crystal ball time. 5 to 10 years i think we will quite similar to where we are today. the slow pace of change will not change and traditional tech stacks will still be around. lack of motivation to change, contracts and low investment will hinder the change.