Innovation

Belgian traveltech start-up helps travelers split rooms, apartments and villas SplitStay, a Belgian traveltech start-up supported by the Start it @KBC accelerator, is launching a platform that allows travelers to…

🏨 Hotel industry challenges persist with unstable Wi-Fi and outdated PMS, despite AI and smart tech discussions. AI can't fix weak management or governance. Reliable daily data is crucial for revenue management and operations. A hotel’s value lies in disciplined operations, clear governance, and predictable margins, not just tech adoption. AI accelerates well-operated hotels but doesn’t transform disorganized ones. Key focus should be ensuring proper operations before implementing AI.

🌐 Mar 13, 2026, India proposes the Digi Doot whitepaper featuring Agent One, a national AI architecture. Each citizen could have a personal AI agent for digital services, leveraging Aadhaar, DigiLocker, and UPI. Envisioned as a new travel distribution channel, AI agents would simplify bookings via voice commands and API connections. Privacy is prioritized, with human verification for payments. A large-scale test is set for Kumbh Mela 2027 to evaluate efficiency and cost-effectiveness.

🏨 Mar 13, 2026: Accor's ChatGPT integration showcases both public and ALL member rates during the initial hotel search. This strategic move targets loyalty by presenting Accor's rates before travelers visit OTAs like Booking.com. By applying OTA strategies, Accor ensures commission-free bookings and retains guest data. However, OTAs like Booking.com and Expedia, with significant investments in AI and positioning since 2025, maintain competitive visibility. Accor's ALL program boasts over 100 million members across 5,700 hotels.

💡 Hotels across major U.S. cities like New York, Los Angeles, Philadelphia, and Chicago face increased rodent activity during winter due to cold weather. Rentokil's report analyzed 100,000 rodent-related service requests, indicating high rodent presence in urban markets. Rodents enter through overlooked gaps, causing potential damage and negative guest reviews. Proactive risk assessments, connected monitoring systems, and staff training are crucial for effective mitigation. Failure to manage risks can lead to operational disruptions and reputational damage.

💻 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.