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Hotel Technology2026-09-15byAI Hospitality Alliance and HotelLogic

The 2026 PMS API Study: PMS Power Index™, Vol. I

The AIHA × HotelLogic study audited 343 hotel PMS vendors and found that only 24 (7%) publish fully public API documentation. Eighteen profiles are scored across ten dimensions, from API openness and event-driven capability to AI readiness and governance.

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The 2026 PMS API Study: PMS Power Index™, Vol. I

More Articles

Convenience vs. Productivity Is Travel AI's Real Test
AI Distribution2026-10-07byRafat Ali

Convenience vs. Productivity Is Travel AI's Real Test

Skift's Rafat Ali argues travel AI should be judged by how much responsibility travelers can hand over, not how many steps an agent automates, and that the real value sits in staying responsible after the booking.

Travel Operators Can't Just Watch as AI Reroutes the Customer Journey
AI Hotel Distribution2026-10-07byJon van der Veen and Andrea Alori

Travel Operators Can't Just Watch as AI Reroutes the Customer Journey

Bain & Company partners Jon van der Veen and Andrea Alori warn that AI referral traffic to hotels has quadrupled in a year and set out how operators can protect direct bookings by optimising for AI discovery, matching AI convenience and using their guest data.

Put AI on the P&L
AI Strategy2026-10-05byTerence Ronson

Put AI on the P&L

Pertlink founder Terence Ronson argues hotels must stop measuring AI in hours saved and prove which P&L line each tool moves, using a five-question landing test, full-cost accounting that includes human review, and a 90-day scale, hold or stop review.

Forget Me Not: Why AI Amnesia Is a Hotel Data Problem
Guest Experience2026-10-02byTerence Ronson

Forget Me Not: Why AI Amnesia Is a Hotel Data Problem

Terence Ronson argues that AI forgetting guests is a symptom of fragmented hotel data, not weak models, and sets out six moves and two metrics for building a governed guest memory layer.