Gstaad Palace, the iconic 5-star Swiss Alps property open since 1913, will use dailypoint to unify guest data from systems including protel, TAC, and aleno into a single central guest profile.
Hospitality strategist Mark Fancourt argues hotels should replace annual tech budgeting with multi-year business planning, using guest and staff feedback diagnostically to identify capability gaps before selecting solutions.
AI assistants are billed per web search, capped by developers, making hotel queries expensive and favoring already-known chains and OTAs over independent properties.
Lighthouse argues disconnected hotel tech stacks cost commercial teams hours weekly and measurable revenue, citing a 2.7% median RevPAR uplift across 7,352 hotels using unified data tools.
Dutch founders Loes Daniels and Jorik Schröder launch Away.ai, an AI platform that books complete flight-and-hotel packages in minutes based on personal preferences, with a 2-4% travel credit rewards model.
Mews analyzed 6,000+ hotels using causal inference and found that enabling its RMS Autopilot feature for 9+ months drove a 13% lift in revenue per square meter over 18 months.
Ira Vouk of AIHA and Cendyn's Luke Markesky discuss responsible AI adoption in hospitality, covering standards, data privacy, risk management, and industry accountability.
Using Cathay Pacific's Google AI contrail-avoidance trial as a framework, this piece argues hotels must define decision envelopes, run shadow-mode pilots, and track AI override rates before granting operational autonomy.
FreedomPay's SVP Kevin Carson argues hotel groups must shift from fragmented payment systems to integrated commerce platforms to improve resilience, staff productivity, and cross-property consistency.
Canary Technologies co-founder Harman Singh Narula discusses building a guest-centric hotel tech stack, the company's origin story, and AI's impact on hotel roles and operations.
Drawing on Google Cloud research of 2,400+ executives, the author argues hotels are deploying AI at the edges rather than embedding it in core value-creating processes, limiting returns.
A hospitality veteran draws a direct parallel between the rise of revenue management and today's agentic AI, arguing early adopters will define the industry's next commercial era.
Independent hotels using fragmented tools face data silos and manual errors; a unified platform with PMS, channel manager, and dynamic pricing solves this with shared data and lower total cost.
The author argues that hotel AI's real value is bridging the 30-year gap between revenue management analytics and frontline operations through real-time translation, not better dashboards.
roommaster will demo its rebuilt cloud-native PMS at Booth 419 and present a session on Revenue Per Available Guest (RevPAG) for independent hoteliers on September 16 in Miami Beach.
Otel AI's platform connects PMS, RMS, POS, and other hotel systems to automate reporting and run AI agents, with customers reporting 20+ hours saved weekly and RevPAR gains of 8.6% at The Alex Dublin.
With nearly half of guests preferring smartphone checkout and kiosk check-in linked to 20-point satisfaction gains, the article makes the case for PMS integration as the foundation of a modern arrival experience.
OYO parent Prism's GM Agent promises fully autonomous hotel operations, but raises unresolved questions on guest data use, Aadhaar privacy, and accountability as the company pursues a Rs 6,650 crore IPO.
After years of sitting on the buying side of these conversations, five things matter most to me. First, prove you understand hotel operations. Not in theory, but in how your solution performs at 2 a.m. when a system goes down and guests are waiting at the front desk.
Operational fit, clean integration, solid data protection, and measurable value across our properties and markets — that's the minimum expectation. Beyond those fundamentals, here's what, in my view, signposts the start of a genuine partnership: Show us the product.
From our perspective, before we seriously consider a technology vendor, we expect the vendor to demonstrate the following: Clear understanding of hotel operations and the business problem being solved.The solution must address a defined operational, commercial, guest-experience, or compliance challenge.
Poor PMS usability creates hidden operational costs, including supervisor interventions, data errors, and wasted staff time, that never appear in a technology budget.