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      AI-Powered Guest Engagement Linked to Higher Hotel Revenue, Better Personalization and Happier Guests, Study of 10+ Million Interactions Finds

      Canary Technologies Logo

      News provided by

      Canary Technologies

      Oct 28, 2026, 10:30 ET

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      Canary's first-of-its-kind study of guest interactions with AI shows how AI enhances the stay and drives revenue.

      SAN FRANCISCO, Oct. 28, 2026 /PRNewswire/ -- Canary Technologies, the leading AI platform for hotel and guest management, today released a study on how guests interact with AI in hotels. The first report of its kind, "From Answers to Actions: What Millions of Guest Interactions Reveal About AI Inside the Stay," analyzes over 10 million AI-powered guest interactions across calls, text messages and webchats with thousands of hotels across 100+ countries.

      The report's central message: AI interactions improve both the guest experience and the business behind it. Key findings include:

      • Personalization. AI is delivering on personalization at scale. Six in 10 AI responses go beyond providing general information to give specific responses to guests based on their individual context.
      • Satisfaction. Guests are more satisfied when AI responds. AI eliminates delays to reply in seconds, and guests who engage with AI are 11% more likely to leave a five-star rating.
      • Revenue. AI drives more revenue across the stay. Last year, hotels with AI messaging grew upsell revenue by 54% on average in their first six months.

      The data also suggests the biggest gains are still ahead. Nearly two-thirds (65%) of guest conversations include a request beyond information, such as making reservations or fixing a broken air conditioner. Forty-five percent of those are revenue-generating activities like bookings.

      Fulfilling guest requests often spans several teams and systems. Each hand-off can lead to errors and delays, resulting in inefficiencies or dissatisfied guests. With agentic AI, hotel teams can shore up cracks in service delivery by connecting teams and systems with greater automation, so requests are completed quickly and reliably.

      "More than 10 million guest conversations across thousands of hotels globally told us what the future of hospitality looks like," said Gurtej Gill, VP of AI Operations and Adoption at Canary Technologies. "Guests want their specific requests taken care of quickly and effectively. Delivering on that takes agentic AI that works across every team and system on property, so hotels can deliver great service, improve operations and drive new revenue."

      The report is Canary's third on AI in hospitality, following two studies that explored how hoteliers perceive AI and how they plan to adopt it. Canary, a semifinalist for the 2026 HTNG/AHLA TechOvation Award, will share more findings at The Hospitality Show in Miami, Nov. 2-4, at booth 2713.

      The full report is available at https://resources.canarytechnologies.com/hotel-guest-ai-report-2026.html.

      About Canary Technologies

      Canary Technologies is modernizing the hotel tech stack with its award-winning agentic AI platform for hotel and guest management. Digitizing guest touchpoints from discovery to post-stay, Canary manages tens of millions of guest and staff interactions end-to-end autonomously each year, improving operational efficiency, increasing revenue and elevating the guest experience. Canary has built the most robust artificial intelligence interaction layer designed specifically for hotels, staff and guests.

      Trusted by over 20,000 hotels in 125+ countries, Canary powers hospitality at the world's most renowned brands, including Marriott International, Four Seasons, Choice Hotels, Wyndham Hotels & Resorts, BWH Hotels and IHG Hotels & Resorts. Recognized as the #1 Guest Experience Platform by HotelTechReport for multiple years, Canary has earned recognition from Deloitte, Business Insider, Fast Company, the American Hotel and Lodging Association, TravelTech Breakthrough, Hospitality Technology and more.

      For more information, visit https://www.canarytechnologies.com.

      SOURCE Canary Technologies

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