The New Hotel AI Funnel: Discoverability vs. Transaction
The article argues hotels should prioritize AI discoverability over transaction infrastructure, as being recommended by AI systems is the gating factor for bookings.
The article argues hotels should prioritize AI discoverability over transaction infrastructure, as being recommended by AI systems is the gating factor for bookings.
The author draws parallels between García Márquez's novel and how hotels repeatedly face new technology waves, from websites to Google to AI, requiring constant adaptation to remain discoverable.
Hotels must adopt multi-cloud strategies and offline protocols as tech infrastructure becomes a target in geopolitical conflicts.
The article outlines five AI-powered strategies to combat rising operational costs while maintaining revenue growth, from digital concierges to autonomous pricing systems.
The article explores how self-service technology helps hotels reduce labor costs while improving guest satisfaction through faster check-ins and automated services.
The author argues hotels must audit systems and align culture before implementing AI, as technology amplifies existing problems rather than fixing them.
IRIS outlines how digital directories can boost revenue through upselling, reduce staff workload, and provide real-time updates accessible via QR codes.
The author argues hotels should replace fixed workstations with mobile devices to enable staff to serve guests anywhere, eliminating wait times and front desk bottlenecks.
The article emphasizes how integrated PMS analytics help hotels transform operational data into actionable insights for revenue optimization and operational efficiency.
The author argues hotels need strong operational foundations before AI can be effective, as technology amplifies existing processes rather than fixing broken ones.
Hotels are moving away from aging cable infrastructure toward hospitality-grade streaming platforms that combine live TV with familiar streaming interfaces.
Growing hotel brands need flexible PMS platforms with open APIs, performance analytics, and cloud accessibility rather than rigid all-in-one systems.
The article examines how AI-powered agentic engineering threatens traditional SaaS business models in travel tech by enabling companies to build custom solutions more efficiently.
AI systems can process geopolitical signals, energy markets, and supply chain data to help hotels adapt quickly to global disruptions and maintain operational resilience.
The article examines how AI can address labor shortages, cost volatility, and consistency challenges in foodservice, but warns that operational discipline and data quality are prerequisites for success.
The article outlines five critical requirements for successful PMS integrations: proper data mapping, event timing, clear ownership, realistic testing, and monitoring systems.
The article argues that AI should enhance rather than replace human judgment in hospitality, emphasizing the industry's opportunity to offer authentic connection in an increasingly automated world.
A Manhattan hotel eliminated OTA-related chargebacks by implementing ID verification technology that captures guest documentation for dispute defense.
The author defines three distinct models of AI booking – assisted, mediated, and executed – each requiring different technical infrastructure and commercial frameworks.
OpenAI acquired OpenClaw's creator to build autonomous travel agents that can handle complex itineraries and disruptions without human supervision.