🏨 Hotel industry challenges persist with unstable Wi-Fi and outdated PMS, despite AI and smart tech discussions.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.

💻 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.

💻 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.

💻 Who? A tech-obsessed CEO from Influence Society. When? Recent years. Where? Europe. What? Invested €200,000 in a custom platform, shifted to Webflow, recognizing the power of brand architecture. How? Abandoned custom code for flexible, scalable solutions. WordPress costs $5,000-$15,000 annually, while 80% of hotel website traffic is mobile, emphasizing performance. Webflow offers 99.99% uptime and handles 95% of requests in under 50ms. AI tools now democratize high-end analytics, transforming websites into dynamic brand extensions.

💻 Shiji, a technology company, collaborates with high-end hotels globally to innovate hospitality technology. This aims to enhance service by making processes guest-centric. Their initiative, "Move," was introduced at ITB. Rather than adding flashy features, "Move" shifts the focus to supporting guest experiences seamlessly. Hotels of all sizes can gradually integrate these methods, moving towards a more natural and fluid service model. More insights are available on LinkedIn.

🛒 ChatGPT's ecommerce brain now processes real-time product feeds from retailers like Walmart, Etsy, Target, and Home Depot. It aims to replace Google Shopping scraping with a comprehensive ecommerce database featuring current product, brand, review, and inventory data. Amazon ceased its Google Shopping feed, and it's unlikely to support ChatGPT soon. ChatGPT has paused integrated checkout but enhances shopping discovery by structuring retailer data, fostering more precise results. Some feeds may reference Bright Data, a web scraping firm.