The problem with PMSs: how to approach choosing new hotel tech
Two hospitality tech experts break down why PMS selection is now driven by API openness and integration ecosystems, with practical guidance for independents and multi-property operators.
Two hospitality tech experts break down why PMS selection is now driven by API openness and integration ecosystems, with practical guidance for independents and multi-property operators.
A critical reading of Booking.com's partner messaging argues its "protection" pitch to independent hotels masks a platform dynamic where independents are the foundation being guarded for Booking's own benefit.
The author introduces TCPG (Token Cost Per Guest) as a discipline for hotel operators to meter AI spending, arguing most deployments fail because costs are invisible inside bundled platform contracts.
TRAVHOTECH's HumAIn Framework proposes a four-layer AI architecture for hospitality, separating data infrastructure, software automation, physical robotics, and human strategic oversight.
AI tools that automate proposal generation and follow-up prompts can lift hotel venue conversion rates, but misapplied automation risks undermining the trust-based relationships that drive repeat MICE business.
Hotels can grow wedding revenue beyond the room block by offering hospitality suites, F&B activations, local partnerships, and personalized touches that turn one-night stays into multi-day guest experiences.
Maestro PMS argues that connecting PMS and POS systems is now a strategic requirement for hotels shifting from room-centric metrics to Total Revenue Management and full guest value visibility.
Survey of 2,000 US and European travelers identifies six design imperatives: acoustic comfort, visible sustainability, embedded wellness, faster refresh cycles, authentic local culture, and technology as emotional connection.
Rising sobriety trends and Gen Z preferences are pushing luxury hotel bars to build premium mocktail programs, with margins of 65–75% making them more profitable than traditional cocktails.
Kiosk.eu makes the case for self-service check-in kiosks, outlining ROI drivers including labour cost reduction, ancillary upsell revenue, and a payback period of months to under one year.
A hospitality operator argues that tolerating disengaged employees is the fastest way to erode standards, warning that indifference spreads and drives away high performers.
A CEO perspective from Otelier argues that while RevPAR forecasts improved at NYU 2026, inflation continues to outpace revenue growth, shifting operator focus from topline metrics to GOPPAR, NOI, and labor productivity.
A Valor executive argues that empowering GMs to act as local entrepreneurs, rather than following rigid brand standards, is the key competitive differentiator for international hotel brands operating in Africa.
Booking Holdings and Airbnb are each funding separate AI travel ventures as hedges, raising the risk that hotels will soon rent visibility from the same parent that runs both the OTA and the assistant.
The author argues that guest satisfaction scores fail to capture whether guests felt genuinely recognized, and that recognition, not service efficiency, is the true driver of repeat visits.
A contributed piece for Hotel Yearbook 2026 explores seven ancestral superfoods across six Asian countries as a framework for building sustainable, health-focused F&B menus in Asian hospitality.
A hotel operations veteran argues hoteliers should focus less on AI tools and more on clean data, open integrations, and AI discoverability before demand-side shifts erode visibility.
Owner Angie Clavijo details how Sumaq Machu Picchu Hotel integrates regenerative farming, agrobiodiversity, and Andean cultural heritage into a luxury guest experience, with B Corp certification in final stages.
AC Hotel Asheville Downtown shares how it moved sustainability from good intentions to measurable daily operations through data tracking, workflow integration, and leadership accountability.
Infor Hospitality previews five HITEC 2026 vendors addressing hotel tech fragmentation, covering loyalty, owner relations, back-office automation, ancillary revenue, and AI-powered distribution.
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