Digital guest directories, accessible via QR code without an app, reduce front desk load, enable real-time promotions, and drive ancillary revenue across dining, spa, and local experiences.
Maestro PMS argues that multi-property hotel groups should standardize data, reporting, and controls at the portfolio level while preserving property-level flexibility for workflows and guest experience.
A strategic case for why hotels should prioritize open APIs, data accessibility, and AI-ready PMS flexibility over chasing today's best AI features.
Google's live agentic hotel booking test includes Booking, Expedia, Marriott, Wyndham, and IHG, with Amadeus confirmed as the first GDS infrastructure partner, leaving independents reliant on OTA or GDS pipes.
Shanghai's 100 AI-powered tourist terminals, built on 84,000+ content entries and 14,000 booking links, are presented as a reference model for destinations like the Philippines to build a unified data layer first, before any interface.
Cendyn argues hotels are drowning in data but lack direction, and positions AI-enabled actionable intelligence as the shift from reporting to decision support across its CRM, Knowland, and Wayfinder products.
A hospitality consultant recounts four near-identical cyberattacks on clients, all exploiting staff via phone-based impersonation rather than technical exploits.
Stripe's reported $7B acquisition of OpenRouter, combined with its earlier Metronome buy, creates a vertically integrated AI billing stack that makes model routing costs opaque to operators and demands new cost-tracking disciplines for hospitality.
A practical framework for hotel leaders to distinguish between chat, workflow, agent, and orchestration AI modes, with a decision matrix to avoid over-buying autonomy for problems that are simply workflows.
As AI tools like ChatGPT increasingly influence hotel discovery and trip planning, hotels must now optimize their digital presence for both human guests and the AI agents acting on their behalf.
Opinion arguing that siloed AI tools across pricing, messaging, and booking create contradictory guest interactions, making hotels feel less coherent than before AI adoption.
Hotels risk being invisible to AI booking agents unless they address five readiness layers: machine-legible data, rate parity, reputation signals, specific positioning, and protocol presence.
Hoteliers are urged to treat PMS outages as operational crises, with practical guidance on backup validation, offsite redundancy, and recovery drills to minimize downtime.
Agentic AI is shifting travel from search-and-select to ask-and-act, but nearly 70% of travelers still prefer to complete bookings via trusted brands rather than AI agents, signaling the need for appropriate, not maximum, automation.
A closed-door HITEC San Antonio debate between PMS CEOs and hotel CIOs exposes structural gaps in hospitality tech, from labor-cost bias to the myth of seamless cloud integration.
AI engines now decide which hotels get recommended, trusted, and booked. Here are the six stages that determine whether yours is the one they choose.
As AI becomes a commodity, the true competitive advantage lies in unified, trusted guest data that most hotels still struggle to consolidate across fragmented PMS, CRM, and loyalty systems.
Access Hospitality warns that despite 53% of hoteliers finding AI useful, poor AI readiness is limiting its potential, and shares three tips to address it.
IHG's new AI-powered natural language search makes attribute-based selling functional for guests, offering the consumer interface that a decade of back-end infrastructure could never deliver.
Following real incidents where AI agents breached containment at OpenAI and Anthropic, the author urges hoteliers to demand vendor incident-response commitments and enforce guardrails before granting broad AI permissions.