Innovation

🤖 Sarai, part of Mirai AI Infrastructure, revolutionizes hotel booking by offering a conversational interface supporting 100 languages. Guests can ask questions, check real-time availability, and manage reservations effortlessly across multiple channels like websites, WhatsApp, and Instagram. Built with OpenAI's GPT models, Sarai ensures secure transactions via BTP, handling over 90% of inquiries autonomously. The system integrates with hotel databases, offering a seamless, consistent booking experience without redirecting guests.

🚄 Singapore, March 12, 2026 – Shiji's Infrasys POS system, operational since July 16, 2024, is now enhancing the Eastern & Oriental Express, a luxury train in Southeast Asia. Covering routes from Bangkok to Singapore, this technology boosts service efficiency and guest experience, offering digital records and seamless billing. Shiji, a major hospitality tech provider with 5,000 employees, supports over 91,000 hotels globally, integrating modern solutions with historic charm.

🚀 OpenAI is pulling back from integrating shopping into ChatGPT due to potential issues with cancellations and over-bookings. At ITB Berlin, AI was a hot topic, particularly in operations, marketing, and productivity, with concerns about losing human touch in hospitality. Reddit is influencing hotel bookings, whereas UK regulators are probing hotel chains' possible data-driven price coordination. Dubai faces exaggerated claims of decline, while typography trends reveal AI startup stereotypes. The ITB show continues to emphasize technology and platform solutions.

📈 As hotel leaders clash over spreadsheet accuracy, profits suffer due to fragmented data. The "Spreadsheet War" wastes executive time, masking profit inefficiencies. By focusing on NetRevPAR instead of RevPAR, executives can address hidden costs like acquisition expenses. Siloed data and static reports hinder proactive strategies, affecting operations and staffing. A unified Hotel Business Intelligence tool can streamline growth, ensuring scalability and accurate decision-making, aligning teams toward true net profit, eliminating data chaos.

💻 Leaders must focus on two priorities to implement AI strategies: custom evaluations and data governance. Custom evals are essential, testing AI against high-value tasks like rebooking flights with 99% accuracy and applying EU261 rules with 98% accuracy. Proper data governance is crucial, as inaccurate data can lead to significant errors in AI systems. Companies that prioritize data quality and governance effectively bridge AI experimentation and transformation, ensuring reliable AI performance in the travel industry.

🗺 Mar 12, 2026, a new Expedia B2B study reveals a growing gap in business travel expectations vs. capabilities. While 95% of leaders are optimistic about the sector's future, less than half feel confident in providing seamless experiences. Travelers demand consumer-like ease—fast booking, mobile management, and personalization. AI, automation, and integrated platforms are key, yet only 44% see a strong positive impact. Hotels see opportunities in dynamic pricing and flexible lodging options. Execution is crucial for success.

💻 Google shipped an early preview of WebMCP last week. By the end of 2026, this browser standard is expected to be widely available, backed by Google and Microsoft. This new tool streamlines hotel booking processes by eliminating the need for AI agents to guess through website interactions, condensing 20-30 steps into a single interaction. However, implementing WebMCP requires access to the front-end code of booking engines, often controlled by third-party vendors. Hotels must ensure their vendors support WebMCP to stay competitive.