The debate over proprietary vs. open AI is a symptom of a deeper issue: whether hospitality is willing to collaborate to truly move forward together. At Alliants, the path is open—not about building walled gardens. Distrust of tech vendors has pushed many large hotel brands to build in-house, often because people weren"t listening to one another openly. Innovation rarely happens in a closed room.
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.
Renowned South African fashion designer and LVMH Prize winner Thebe Magugu is partnering with Mount Nelson, A Belmond Hotel, Cape Town, to launch the THEBE MAGUGU SUITE and MAGUGU HOUSE CAPE TOWN this December. The partnership - which marks Thebe Magugu's debut into luxury hospitality and Belmond's first Designer Residence concept - brings Thebe's distinctive Afro-modernist vision to one of Cape Town's most iconic hotels. It also underscores Mount Nelson's commitment to championing contemporary African culture while providing a space for the continent's next generation of creative visionaries.
The Tourism Investment Forum, hosted by the Government of South Africa, brought together global tourism leaders to explore investment opportunities in South Africa and across the African continent. Highlighting South Africa's vibrant tourism sector, which welcomed nearly 9 million international visitors and 47 million domestic trips last year, contributing over 12% to national GDP, the Forum underscored the country's role as a gateway for regional tourism development.
The luxury hospitality environment is dynamic and often unpredictable, requiring leaders to navigate challenges, whether it's adjusting to changing guest expectations, managing a diverse team, or responding to unforeseen circumstances.
The decisive skill I feel separates a great GM is "managing the balanced scorecard" - enlivening employee engagement, amplifying the guest experience, and ensuring financial stability. Too often, the General Manager confuses what is truly important and relevant to the hospitality business.
For me, the role of a luxury hotel GM is first and foremost that of a balancing act. Depending on the context, whether corporate or private ownership, the GM must be able to adapt and understand stakeholders' expectations. They must be able to deal with ambiguity and create added value.
Strategic foresight distinguishes outstanding luxury hotel general managers from their peers. Empathy empowers a general manager (GM) to understand and anticipate the diverse needs of guests, staff, owners, and partners. In luxury hospitality, emotional connections are crucial; guests often remember how they felt during their stay far more than the details of their accommodations.
It was inevitable that we would move to conversational AI and on-demand UI. The writing was on the wall years ago. Hotels will be caught off guard as OTA AI agents beat them without mercy at the pricing game. It’s time to build a defensive tool.
We will still need beautifully designed websites and flows — but more as validation layers and brand showcases than as discovery engines. OTAs and suppliers will increasingly serve as structured data ecosystems rather than pure UX-driven platforms.
Are we moving to a future - interesting... Though, you remove glossy images and brand (the websites of today), don't we just return to the flat green text screens of travel agents past, but this time operated by AI? Where description and detail was the important asset to capture interest and convert the booking?
Overall, there is no difference between preparing a dataset for AI and preparing a dataset for the myriads of other tech tools and business uses. By AI here, we mean Generative (Gen) AI-next-best-word, probability & correlation-based tools. Traditional analytical tools need normalised data (third normal form etc.) using Structured Query Language (SQL) with potential ambiguities removed in the design. Gen AI is useful to analyse text documents which are, by definition, unstructured, but it still acts as a glorified "word cloud" linking items together by frequency and probability. The main hospitality systems - PMS, POS, Spa, RMS, CRS, CRM - were built on normalized databases precisely to prevent mismatches, duplication, and gaps. Even then, duplicate guest profiles remain common, eg when a frequent guest changes email or surname. The better PMSes use fuzzy matching to ease de-duplication, but this remains a governance issue.
It so happens I have a deep background on this topic. Over almost a decade, I deployed enterprise-level customer data consolidation for many of the world's leading luxury brands. In this capacity, developing the methodology and guiding execution of this specific desired outcome scores of times. The process always begins with the standardization of data and the rollout of those standards, followed by the cleanup of information sets once the standards are in place. Only after that point is true consolidation a reality.
I believe priority #1 for independent hoteliers, midsize and smaller hotel brands is to create true two-way APIs among three crucial technology pieces: PMS-CRS-CRM. This is the only way to prepare the property for the agentic AI, expected to take over hotel bookings, guest relationships and personalization over the next years.
I’ve probably been asked about a hundred times in the last two years to list the “main” use cases of AI in our industry. And while I understand what drives this request (we’re all just trying to wrap our heads around AI while drinking from the firehose of unlimited possibilities it presents), I’m not a big fan of boxing people in with a static list of examples.
There is really no difference between preparing data for Gen AI and for other tech tools: structured data must be normalised, deduplicated, and governed, while Gen AI is best applied to unstructured sources like reviews, transcripts, or free-text notes.
AI in hospitality cannot be reduced to a fixed list of use cases, because the technology and its applications evolve too quickly and vary too widely across companies. Each organisation runs on its own mix of operations, tech stacks, data flows, and structures, which means their AI opportunities will always be unique to their context and business challenges.
This is part of a bigger question, I think. As a marketing guy, let me explain it through distribution, using Booking.com as the example. Booking spends billions on advertising, dominates search, builds the user experience that has become the industry template, and runs a multilingual customer service that often outperforms independent hotels.
Yes. It's not limited to franchises and is a pretty long standing clause in agreements. There largely because it was not as prominent a consideration back in the day from a data and technology perspective - harder to get data out of a peice of on premise technology that the owner paid for.
As a seasoned Revenue and Profit Optimization professional I would like to reitarate (which I have already expressed in my book Hospitality 2.0 and other publications): travel demand has always been uncertain, and history never repeats itself. Recent events just highlighted this fact for all of us (again), just like COVID did, and many events before that.
Now that the industry has come to this understanding, it's time to build a better "model of our reality" that can incorporate the uncertainty in a more optimal manner. It's time to rebuild our forecasting methods. Again, I describe this in detail in a separate chapter of my book.
"Velocity analytics" and "Anomaly detection" sound like cutting-edge tech, but these are just fancy names for basic common sense: watching your booking pace and noticing when something's off. The bigger issue is our industry's obsession with historical forecasting.
This is one of the greatest opportunities the hotel industry has ever faced. Forecasting should no longer be treated as a static spreadsheet, it's more like a live stock market dashboard, where dozens of variables are in motion and projections shift by the hour.
As a seasoned Revenue and Profit Optimization professional I would like to reitarate (which I have already expressed in my book Hospitality 2.0 and other publications): travel demand has always been uncertain, and history never repeats itself.
Having spent over 25 years at the intersection of hospitality operations and technology—most recently as Founder of EIP MGT GmbH, a vendor-neutral consultancy—I have seen the conversation around guest data shift from “what can we collect?” to “how do we use it to create real value?” The promise of a centralised, real-time guest profile is compelling, but only if it is leveraged to enhance—not replace—the human touch that defines our industry.
A&K Sanctuary, the luxury lodge and camp collection from A&K Travel Group, is proud to announce the launch of Kitirua Plains Lodge, a groundbreaking new property set in Kenya's iconic Amboseli region. Opening June 1st 2026, this all-suite lodge marks Abercrombie & Kent's return to its heartland - six decades after Geoffrey Kent pioneered the modern luxury safari in Kenya. Set on a 128-acre private concession bordering Amboseli National Park and just ten minutes from the park's main gate, Kitirua Plains Lodge is poised to redefine Kenya's safari scene with a bold, design-led vision that honours the pioneering legacy of luxury adventure travel that began here six decades ago.
In the past, legacy technologies in hospitality used to be closed systems, reluctant to open up to third-party integrations, applications and solutions. This type of technology prevented property and its guests from adopting some very innovative and much-needed applications and services.
According to HotelMarketingWorks.com, most hotels allocate between 4-8% of their total revenue for marketing activities. New hotels: 10% of projected revenue Established properties: 4-6% of actual revenue Luxury hotels: Up to 8% of revenue Seasonal adjustments are also recommended as follows: High Season: Increase budget by 20-30% Shoulder Season: Maintain regular budget Low Season: Reduce budget by 20-30% or redirect to advance bookings
The question of what percentage of total revenue should hoteliers be spending on marketing should not be answered by comparing with OTA, but rather by looking at product lifecycle and corporate goals. By product lifecycle, we mean where the hotel is standing in terms of lifetime existence: launching stage, early growth, maturity, descaling or declining?
We are seeing a clear and growing commitment from major hotel groups, such as Ascott, Mandarin Oriental, Best Western Hotels, Barcelo, and others, that are continuing to advance their sustainability agendas, regardless of regulatory pressure. These companies understand that sustainability is no longer a trend or a nice-to-have; it's a business imperative.