Innovation

💡 Destination Canada hosted 130+ staff in Vancouver for the DC Connects event, demonstrating AI agents from Matador Network. Using OpenClaw, they prototyped a DMO for 2026, creating a SaaS platform, Kondo, for tourism boards. The platform matches travelers with local experiences, focusing on accessibility and community benefits. The target market is cities with 100K-500K people, priced at $40-100K USD/year. The AI prioritized locals, suggesting a community-first approach with "anti-recommendations" when areas are stressed.

💻 Kurien Jacob, Partner at Highgate Tech Ventures, spoke on the CoStar News Hotels podcast, identifying AI as a major industry shift, not a passing trend. In hospitality, labor can account for 30%-40% of costs. AI can automate tasks, increasing efficiency and revenue. LodgIQ's AI Wizard assists with Revenue Management, providing reports, strategic insights, and market analysis. By 2026, AI adoption will determine success. AI aims to replace inefficiencies, not hospitality professionals.

🛫 In the hospitality industry, fully automated booking agents pose risks due to the binary success/failure nature of reservations. A demo highlights an AI successfully negotiating a group booking, but automated systems can mislead guests with false promises, illustrated by a $200 room being inaccurately described. Human oversight remains crucial: for example, accommodating regular guests during overbooked situations. Additionally, risks like "prompt injection" can compromise rates. Automation is useful for drafting, but human verification is essential for final decisions. Progress is expected by late 2025 to early 2026.

By Linda Girrbach, Co-Founder & Head of Hospitality Consulting at RobosizeME In many hotel groups, automation is discussed as a question of intelligence. Are our prices optimized? Are we using…

💻 Conversations with hotel operators reveal diverse AI integration levels in hotel operations. Many hotels are data-rich and have moved beyond basic AI adoption. Key areas for AI impact include cost leakages, staffing decisions, cleanliness, safety, and maintenance. Effective AI use leads to calmer operations and fewer surprises. The focus is on embedding intelligence where needed, rather than tool sophistication. Leaders are concerned with decision dependencies on individuals and the timing of visibility.

🚗 Los Angeles hotels are elevating executive transportation, prioritizing it as a brand extension. Key players include The Beverly Hills Hotel and InterContinental Los Angeles Downtown. Technology enables real-time updates, integrated billing, and performance metrics. Modern partnerships offer seamless service, with on-time rates reaching 98%. Consistent, professional service strengthens corporate retention and satisfaction, proving essential amidst LA's challenging traffic and geography. Hotels leverage these strategic partnerships to gain competitive advantage in the hospitality market.

💻 On February 23, 2026, at 1:00 PM GMT, a webinar will focus on hotel automation and removing manual work. Hotel groups face issues with repetitive tasks like rate code maintenance and guest data handling. Manual workflows, like daily reports taking one hour, consume significant time annually. Automation aims to make teams more strategic by eliminating mundane tasks. Hosted by RobosizeME, the webinar will address these operational challenges. Register to optimize hotel operations.

💻 Sydney, Australia, February 09, 2026: Shangri-La The Marina, Cairns, upgraded to Infrasys POS, enhancing luxury hospitality with real-time updates and improved efficiency. Nestled between Trinity Inlet and the Coral Sea, the hotel offers breathtaking marina views, boasting 255 rooms and suites. This cloud-based system, implemented by Shiji, aligns with Shangri-La's focus on personalized guest experiences, streamlining operations across venues like The Backyard Restaurant, located near the Great Barrier Reef.

💻 Just 7% of hotels reported having a companywide AI strategy, while 84% lack one. A recent H2C report highlights fragmented efforts leading to inefficiencies. Strong AI strategies connect departments, prioritize foundational technologies, and ensure data quality. Key focus areas include cohesive plans, robust analytic engines, and harmonized systems for reliable data flow. Hotels avoiding common AI mistakes—like focusing on flashy features over substance—unlock better decisions and sustainable revenue growth.