💻 In a white paper with Travel Market Report, a few years ago, AI's impact on travel advisors was explored. A simple exercise was shared to enhance AI prompting skills: "I'm a travel advisor" prompts AI to guide learning. This was tested with ChatGPT, Claude, and Google Gemini, proving effective. Non-travel advisors can adapt the exercise for their professions. Better prompts lead to better AI results. Cruise Planners offer tech, training, and community support for advisors.

🛩 TPConnects Technologies has introduced a "MCP layer" for their "NDC gateway". This innovation supports both API-connectivity via New Distribution Capability (NDC) and AI-connectivity through the Model Context Protocol (MCP). NDC was launched in 2011 without a 15-year roadmap, lacking AI considerations. The MCP layer, acting as an orchestration platform above NDC APIs, aims to eliminate vendor lock-in and accelerate modernization, addressing computational workload challenges in AI retailing for airlines.

🌄 2 billion users; 14% adoption. Google Maps joined the AI travel competition with a unique advantage. While ChatGPT and Perplexity compete for travel search, Google leveraged its existing user base. 71% of users prefer voice queries, and mobile voice searches are 3x more likely to seek local info. Google Maps combines a search engine, AI assistant, and voice interface, enhancing user experience. Smartphones accounted for over 50% of hotel bookings in the UK by 2024. Can Google dominate AI travel search?

💻 Amadeus handles up to 150,000 transactions per second globally, supporting millions of searches and bookings daily with hundreds of petabytes of data. Strategic partnerships with Microsoft and Google Cloud bolster their AI-driven travel solutions, such as the Amadeus Virtual Airport Operations Center. These collaborations enhance their multicloud strategy, leveraging AI-optimized infrastructure. This approach enables Amadeus to deliver scalable, innovative technology across the travel industry, transforming AI concepts into practical applications.

🛫 In times of global instability, the travel and hospitality sector relies on first-party data for customer trust. AI enhances marketing through adaptive journey management, emphasizing real-time customer insights over historical data. Experiences must be accurate and responsive, as seen when proactive airlines eased passenger anxiety during disruptions. Content should prioritize clarity and relevance, not cross-selling. The industry’s shift to adaptive, data-driven journeys strengthens resilience, proving experience is the key currency in uncertain times.

💻 In March 2018, Asksuite launched at the start of the AI wave to tackle hospitality issues. Now, 8 years in, with 6,000 properties globally, they serve over 3.5 million travelers monthly. For 7 consecutive years, they've topped the HotelTechAwards for AI hospitality chatbots. With their generative AI, Sophia, Asksuite advances its omnichannel platform, emphasizing AI-human collaboration. Their focus remains on revolutionizing hotel communications and driving direct revenue.

📈 BCG and NYU's Tisch Center report 37% of travelers use AI for trip planning, projected to reach 58% by 2026. 84% of travelers book based on AI recommendations. Structured data, via Schema.org, is crucial for AI systems to recommend properties. Forbes Travel Guide notes 80% of AI-driven discovery is influenced by reputation. Direct bookings via AI are rising, with 56% going to property websites. Implementing structured data is affordable, but essential for visibility and revenue.