Dylan Cole and Nick Ellis explore how Australian hoteliers leverage guest data for direct bookings and on-property spend in a high-cost operating environment.
Shiji, the global hospitality technology leader, today announced the full-scale launch of Reviewpro Reputation in Japan. Since establishing its Tokyo office in 2018, Shiji Japan has introduced next-generation hospitality solutions, from Daylight PMS and Infrasys POS to guest engagement and data intelligence tools, to accelerate digital transformation across Japan’s hotel and restaurant industry. Now fully localized for Japan, Reviewpro Reputation supports over 80 review sites and 45 languages, transforming diverse guest feedback into actionable insights that help hotels strengthen brand value, improve service quality, and deliver superior guest experiences across every guest touchpoint.
Australian hotels lag in AI readiness despite growing demand, but can succeed by partnering with tech experts rather than building in-house expertise.
Shiji deployed its Infrasys POS system at MICHELIN Bib Gourmand winner Chen's restaurant to handle high-volume operations with faster order processing.
The article focuses on predictive analytics and machine learning applications for demand forecasting and competitor analysis, with Australian hotels reporting 15% booking increases for July-August.
Crown Resorts will deploy mobile check-in, AI messaging, and digital upselling tools across properties to modernize guest touchpoints without requiring app downloads.
Paradise Resort implemented HiJiffy's AI platform achieving 531 bookings worth AUD $750K through automation, with 82% guest engagement on WhatsApp messaging.
The author reflects on AI applications while attending the CX Malaysia conference as a keynote speaker.
The most transformative disruption we’ll bring to the hospitality industry by 2026 lies in end-to-end workflow automation across hotel operations, not just individual tasks, but entire processes that currently require too much manual effort with too many handoffs and that may unnecessarily create security risks in today's high data security environment.
We believe AI will most profoundly disrupt operational scheduling and resource allocation across spa, wellness, and leisure departments. These areas are traditionally managed through manual guesswork, disconnected systems, or static templates.
I believe the biggest disruption isn’t a single task - it’s the entire commercial workflow behind meetings and group bookings. A third of all hotel room nights tie back to a meeting or group, yet hotels still burn thousands of hours on manual qualification, data gathering, and proposal-building.
Ireckonu warns that global hotel chains may face regulatory crackdowns for storing Chinese guest data outside the country, violating local residency laws.
It's abundantly clear that the US hyperscalers are unable and unwilling to regulate themselves. A $100 million pro-AI super PAC formed in August, backed by OpenAI's president, has identified its first pro-legislation target to oust.
The divergence in AI regulation is less about "innovation versus control" and more about who will define the operating system of the future economy. The US optimises for velocity and scale; the EU for rights, accountability, and systemic risk.
Yes, the gap in AI innovation and adoption will continue and expand. This disparity is less about well-intentioned policy and more about an ongoing geopolitical battlefield where technology sits squarely in the 'armed forces' of the major powers.
Hotelogix, a globally leading provider of cloud-based hospitality technology solutions, announced that Hillside Country Home Golf & Resort in Thailand has chosen its full-stack Hotel PMS to digitise operations while laying the foundation for future growth. This strategic move underscores Hillside’s commitment to operational excellence, seamless automation, and delivering top-notch guest experiences.
Chinese online travel platform Fliggy – the travel division of Alibaba Group – is leading the way as the first Chinese online travel player to adopt a multi-agent approach to building AI-powered products in order to prepare for the shift from ‘online travel agencies’ to ‘omni-intelligent travel agents’.
In my previous airline and telcoms world, we used service buses like TIBCO to sit on top of enterprise systems. The upside was the potential of plug and play (although we never actually changed back end ERPs). The downside was extra latency and cost.
In practice, it's not that simple. A hub always depends on common integration standards — yet many systems still lack proper REST APIs to communicate effectively. For example, we dynamically manage room assignments and reassignments based on guest fit and preferences, but not all PMSs even offer APIs that allow us to do this.
Hotelogix, a globally leading cloud-based hospitality technology provider, said that Viroth's Hotel, a reputable luxury property in Cambodia, has upgraded to its multi-property management system. With this strategic move, the management aims to modernise multi-property operations with efficient centralised control, drive sustainable growth and enhance overall guest experience.
Hotelogix, a globally leading cloud-based hospitality technology provider, said that Angkor Paradise Hotel in Cambodia has successfully upgraded to its all-in-one hotel property management system (Hotel PMS). With this strategic move, the management aims to modernize property operations, drive sustainable growth and enhance overall guest experience.
The problem isn't that personalization fails on property. The problem starts much earlier: we still don't speak the right language of guest experience in the digital space. Take booking. A traveler may want a big bed, a walk-in shower, and a quiet location.
Online personalisation is easy, as it's mostly a pattern-matching algorithm between known guest preferences and available services. It isn't personalisation, rather just mass customisation. On property, a guest walking around is essentially anonymous, even after checking in.
This is a question at the heart of hospitality’s digital transformation. Hotels excel at digital personalisation (curated offers, smooth booking, and tailored communications) because online, data is structured, accessible, and actionable.
The Parnell Hotel & Conference Centre, a celebrated independent property in Auckland’s oldest suburb, has migrated from Clarity Hospitality to Mews, the leading operating system for hospitality. This move has brought significant operational time savings and revenue gains for the hotel, while amplifying its charitable mission.
From 15 – 17 October 2025, the global travel technology community will gather at the Sands Expo and Convention Centre, Singapore (Level 1, Hall B) for Travel Tech Asia 2025. Co-located with ITB Asia and MICE Show Asia, the event unites the brightest minds, pioneering technologies, and most influential leaders in the travel and tourism sector. Over three days, executives, innovators, and thousands of attendees will meet to showcase solutions, forge partnerships, and shape the future of how the world travels.
When it comes to where our Distribution landscape is headed - it's not even a question. Of course uniting our efforts is the only way to go. Otherwise we'll lose another OTA battle. But there's much more to the world of AI functionalities, it has its tenticles in every part of our tech ecosystem, not distribution alone.
I think we are in danger of running before we can walk here. MCP is Anthropic’s pitch for an open standard to let "agentic AI" bots built on next-word LLMs share data, for example, an OpenAI bot talking to a Gemini bot. Unless you are Marriott or Hilton with hundreds of in-house developers, or a big OTA like Expedia or Booking.com, this really isn’t something you need to worry about.
You could establish your own protocols instead of MCP, A2A, or other widely endorsed standards for agentic interactions. But that would be like creating your own version of HTTP. Not a great idea. The good news is I don't think companies feel the need to change that basic agent-friendly plumbing.