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.
The moment AI agents can plug into the systems your hotel already runs on (PMS, POS, RMS, CRM, etc.), they stop being expensive toys with fancy language models and start behaving like digital coworkers. And let’s be clear on the semantics here: not “assistants.” Real (well, kinda) colleagues, capable of executing actual operational work: updating bookings, managing inventory, triggering maintenance, orchestrating systems and processes. This is the fundamental shift we’ll be witnessing over the next few months/years: the move from artificial intelligence as an interface to artificial intelligence as an infrastructure. Until now, most so-called “AI” in hospitality has been confined to shallow use cases, like chatbots, recommendation engines, and flashy BI dashboards. Useful? Sometimes. Transformational? Nah… And the reason is simple: intelligence, whether human or artificial, without access is just performance. You can have the most advanced system in the world, but if it can’t interact with your day-to-day ops (pull a reservation, update a status, execute a workflow), then it’s just another layer of abstraction. Another system to manage, rather than a system that manages for you. This is where the Model Context Protocol (MCP, for short) comes in. MCP is a protocol. A shared language. A neutral standard that can (finally) give AI systems the ability to operate inside your tech stack, and not around it. And when that happens, everything changes.
A guest walks up to the front desk. The receptionist glances at the screen and already knows the guest prefers feather pillows, skipped housekeeping during their last three stays, and charged over $600 in spa and F&B services the last time they were here. Housekeeping’s mobile device pings with an early arrival request. Meanwhile, the marketing team receives a real-time trigger to offer the guest a spa voucher tailored to their usual treatment. All of this happens without a single email, phone call, or Slack message.
AI isn’t magic. Rather, it’s pattern recognition at scale. And like any pattern recognition system, its output is only as good as its input. Which is why AI’s promise of personalized experiences, automated service flows, real-time recommendations often fall flat in fragmented tech environments. If your PMS, POS, CRM, and housekeeping tools aren’t talking to each other, then your AI is only guessing.
Picture a scenario where a hacker poses as an employee and tricks IT support into resetting credentials, bypassing multi-factor authentication and gaining access to core systems. That’s exactly what happened to one of the world’s leading casino brands in 2023, when a social engineering attack brought down everything from check-in kiosks to room keys and slot machines. Operations were disrupted for over a week, costing the company more than $100 million in lost revenue and leading to a $45 million class-action settlement.
Imagine this: A guest walks into your hotel. The front desk greets them by name, already knows they prefer a room away from the elevator, and offers a complimentary drink, the same cocktail they ordered at your rooftop bar during their last stay. At breakfast the waiter suggests asks if the guest wants the usual omelet or the menu to try something new, and at checkout, they’re offered a late checkout because their flight doesn’t leave until 8 p.m.
When we say “AI agents,” we're not talking about the suit-wearing, memory-wiping types from Men in Black, but these new agents might be just as transformative. In the world of hotel tech, AI agents are emerging as intelligent, task-driven assistants that work behind the scenes to simplify operations, boost efficiency, and create better guest experiences. Instead of battling aliens, these agents are here to tackle fragmented systems, reduce manual workloads, and unlock a smarter, more connected future for hospitality. And unlike the old “app-for-everything” approach, agentic AI offers a more agile, scalable way to run your hotel.
With changing consumer demands, new technology, and more competition, travel and hospitality organizations need to adapt their operations, particularly in procurement. Data-driven decision-making has become a critical component of successful procurement strategies.
The hospitality industry thrives on innovation, and technology sits at the forefront of that progress. From checking in to enjoying their stay, information technology is reshaping the guest experience, allowing hotels to not only keep pace but to truly excel. It is the secret ingredient for a smooth-running operation and an unforgettable guest experience. So, what’s the role of facial biometric authentication technology in the hospitality landscape?
Over the last few years, the two things the hospitality industry has learned to count on are uncertainty and change. As a result, organizations need adaptability and resilience to navigate this highly dynamic world, and their people are the foundation for both. As environments change, so do business priorities, and effective organizations will position their people to adapt on the fly.
There are two answers to the question of how generative AI models work. Empirically, we know how they work in detail because humans designed their various neural network implementations to do exactly what they do, iterating those designs over decades to make them better and better. AI developers know exactly how the neurons are connected; they engineered each model’s training process. Yet, in practice, no one knows exactly how generative AI models do what they do—that’s the embarrassing truth.
There are many definitions of machine learning (ML). For purposes of this explainer, ML is the scientific study of algorithms and statistical models that computer systems automatically use in real-time to effectively perform a specific objective function (such as optimizing revenue) without using explicit instructions. Instead, ML relies on patterns and inference. All this is performed using a feedback loop so that each successive iteration further increases precision of the models, which drives and improves the objective function.
Hoteliers can benefit greatly from customer relationship management (CRM) software. A CRM in the hospitality industry is a powerful ally. In addition to creating a comprehensive database to hold all client-relevant information, a hotel CRM also promotes a hotel's long-term growth.
Technology in the hotel industry continues to advance at a rapid pace and hotel property management software (PMS) remains essential for hoteliers looking to improve how they run their business.
What are the origins of servitization? In 1988, Sandra Vandermerwe and Juan Rada presented what they termed the “servitization of business”, explaining how more and more corporations were adding value to their core corporate offerings through services. – For some well-intended temporal perspective here, this was the year before Tim Berners-Lee invented the “World Wide Web” while working at CERN and a full eleven years before Kevin Ashton coined the term “Internet of Things” during his time at Procter & Gamble. – Vandermerwe and Rada observed that companies were offering “bundles of customer-focused combinations of goods, services, support, self-service, and knowledge”, with services beginning to dominate.
What is POS and why is it an important fiscal tool? Learn more about the different types, their functions and which one might suit you best.
In this livestreaming event FunnelTV discovered the evolution of distribution starting from GDS and Online Travel up to the various innovations that are increasingly emerging in the current scenario such as Distribution 2.0.