Quicktext Becomes Quinta
Quicktext rebrands to Quinta and launches Q-Channel and Q-Share solutions to help hotels distribute structured data across AI platforms like ChatGPT.
This dedicated AI in Hospitality section explores how AI is reshaping the industry, from guest communication and marketing personalisation to revenue management, operations, staffing, cybersecurity, and the evolving role of data and automation across the hotel and travel ecosystem. It brings together practical use cases, expert insights, product and partnership news, leadership viewpoints, and real world lessons from properties and brands of all sizes, helping hospitality professionals separate substance from hype and make informed decisions about where AI delivers value today and what to prepare for next.
Quicktext rebrands to Quinta and launches Q-Channel and Q-Share solutions to help hotels distribute structured data across AI platforms like ChatGPT.
Kalani Bandaranayake, Ex-Cluster Assistant Director Digital & E-Commerce at Raffles Doha and Fairmont Doha, explains how AI is turning F&B marketing from guesswork into a living, adaptive system that listens, learns, and reacts in real time. She shows how unified data, weather and event-based personalization, and smarter, more responsive campaigns can lift performance, but insists that the real advantage will belong to teams who pair algorithmic precision with human empathy so ads do not just reach guests, they genuinely resonate with them.
Jitendra Jain (JJ), hotelier and founder of Hotelemarketer.com, says the real challenge of the AI era is not technology but culture – and that tomorrow’s General Manager must evolve from “captain” to “Chief Orchestrator.” He explains how GMs can bridge the gap between messy legacy systems and AI’s promise by using small, practical “edge AI” wins, making psychological safety a key KPI, replacing rigid scripts with prompt playbooks, and using automation to free up time for more human, high touch guest moments.
Australian hotels lag in AI readiness despite growing demand, but can succeed by partnering with tech experts rather than building in-house expertise.
Hotels must prepare for AI-driven guest discovery that prioritizes data consistency over search visibility, fundamentally changing how travel decisions are made.
PwC survey finds 91% of Middle East hospitality leaders piloting AI solutions, but only 3% achieving enterprise-wide deployment.
Lisa A. Haude, Principal-Interior Designer at Studio RYS, shows how AI is becoming a practical creative partner in the studio. She describes using AI to speed up drafting, modeling, admin work, and BIM based visualisation, letting designers test more ideas, reduce errors, and give clients richer, real time ways to see and shape a project. Her main point is that AI should stay in the background as a tool for precision and sustainability insight, while the human side storytelling, taste, and emotional sense of place remains what makes hospitality design truly memorable.
The article outlines three technical pillars needed to move AI agents from pilot programs to production-ready systems in enterprise environments.
Penn State researchers propose a framework for establishing robot rights and responsibilities as hospitality automation becomes more autonomous and human-like.
As hotels race to automate, Tanja Stegmüller, co-founder of TRUSTmenti, makes the case that resilience will come from intentional hybridity: blending digital efficiency with human wisdom, global standards with local soul, and automation with empathy. She lays out a ten point playbook for building hybrid leaders, learning ecosystems, and people centred cultures, arguing that technology can handle tasks, but only humans can deliver judgment, emotion, and the moments that define great hospitality.
AI may be rewriting hospitality’s playbook, but the toughest part of adoption is not the software, it is the quiet anxieties it triggers on the front line. By tracing three common fears that surface whenever AI enters the workplace, Lynn Zwibak shows how leaders can turn resistance into readiness and make change something teams help build rather than brace against.
The article advocates for quarterly roadmap reviews and emphasizes that AI disruption requires CIOs to prioritize agility over long-term planning.
The article uses emergency department analogies to explain agentic AI architecture and warns that rapid adoption without proper governance creates compliance and cost risks.
Accenture research shows 50% of AI users make purchase decisions based on AI recommendations, with travel brands needing to optimize for AI discovery platforms.
Pertlink's toolkit provides luxury hotels with structured AI prompts for concierge operations, maintaining human oversight while standardizing service excellence.
Chef Aiman AI analyzes texture, acidity, and umami data to create unique flavor combinations at the Kempinski Downtown Dubai location.
The toolkit addresses the gap between AI vendors' feature-focused pitches and hotels' needs for operational certainty and financial justification.
This vision proposes layering AI intelligence on existing websites using structured data and natural language processing, eliminating the need for custom APIs.
This educational guide explains 15+ AI terms that hoteliers need to understand as travelers increasingly use ChatGPT and similar platforms for trip planning and booking.
Pertlink launches AI-focused playbooks for housekeeping, engineering, culinary, HR, and management teams after 25 years in hospitality technology.