Modern Data Solutions for Hospitality Teams

A guest walks into their hotel room. The AC isn't working. It's 85°F. They're exhausted from travel. They call the front desk. Maintenance is dispatched. The guest is moved to another room. An apology is issued. But the damage is done. Here's what most hotels miss: That AC unit started showing anomalies 48 hours earlier. Compressor performance degraded. Room temperature variance increased. The failure was predictable. But nobody was watching the data. At DzAani, we've spent years analyzing sensor data across different hotel properties. We've learned something critical: Most guest-impacting failures announce themselves days before they become guest problems. → HVAC systems show performance drift  → WiFi access points exhibit connection instability → Smart locks signal battery degradation  → Refrigeration units display temperature fluctuations The technology to predict these failures exists. The sensor data is already being collected. The missing piece? AI that actually understands hospitality operations. Not generic predictive maintenance. Not one-size-fits-all algorithms. AI trained on millions of hospitality-specific sensor readings. AI that knows the difference between "needs attention this week" and "will fail during Saturday checkout rush." We just published our perspective on how predictive AI is changing hospitality operations, and why most properties are sitting on data goldmines they're not using: https://lnkd.in/egJU2UzZ If you're managing hotel operations and tired of reactive firefighting, it's worth a read. The future of hospitality isn't responding faster to guest complaints. It's eliminating the complaints before they happen. #Hospitality #HotelTech #AI #PredictiveMaintenance #GuestExperience

AI Agents Are Booking Hotels. Is Your Direct Channel Ready to Compete? OpenAI’s ChatGPT Agent Mode has transformed hotel bookings. AI is no longer just suggesting options. It now books directly on behalf of travelers. Instead of comparing hotels across websites, guests simply ask ChatGPT for what they want, and the AI searches, selects, and completes the reservation, often through OTAs. If your hotel content isn’t structured in a way AI systems can read and trust, your brand is effectively invisible. Traditional SEO tactics focused on human search behavior are no longer enough. Hotels must shift to Answer Engine Optimization, using structured data and clear content that AI agents can easily process. Most hotel teams are not ready for this shift and may already be missing bookings without realizing it. 📢 THE PIVOT FOR HOTEL COMMERCIAL TEAMS: Hotel commercial teams need to rethink their entire approach. This is not about improving your Google rank. It is about making your hotel visible to AI agents that now complete bookings for your guests. ⚠️ The rules of the direct channel have changed. Your content needs to be structured for AI discoverability. Your team needs to understand how AI agents make decisions. Without that, you will be bypassed without even knowing it. The direct channel is at risk unless your teams become AI-literate and start building content for machines as well as humans. FIVE ACTION STEPS FOR HOTEL TEAMS: 1️⃣ Audit and Optimize Structured Data Review your website and booking platform to ensure correct schema markup is in place. AI agents rely on machine-readable data to process your rates, amenities, and availability. 2️⃣ Implement Answer Engine Optimization Move beyond traditional SEO. Focus your content on clear, factual, structured property details across all platforms where AI agents can find them. 3️⃣ Upskill Your Team on AI Literacy Train your marketing, revenue, and sales teams on how AI agents function. AI is now a participant in the booking process. Your teams need to understand how to influence its choices. 4️⃣ Track AI Visibility and Recommendations Start measuring how often your hotel is seen or selected by AI systems like ChatGPT. Visibility is now invisible. Without tracking, you won’t know what you are losing. 5️⃣ Strengthen Direct Channel AI Readiness Ensure your website, booking engine, and voice assistants are optimized to serve both human guests and AI agents. Using AI Voice Agents can help capture direct bookings that might otherwise be lost. If your team needs help optimizing your direct channel, developing AI skills, or driving immediate revenue, reach out. Whether it’s training your team, creating structured content, or helping you track AI-driven visibility, I can support you. Consider me a gig member of your team, ready to help you drive results.

Two years ago, we set out to answer a big question: What would it look like if hoteliers had a true crystal ball — not just to forecast occupancy, but to make smarter decisions across marketing, revenue, and operations? We built a vertically focused AI model purpose-trained for hospitality — not generic tech dressed up for the industry, but a foundation built from the ground up for the way hotels actually run. Why does that matter? Because when a hotelier says, “We need more direct bookings,” what they really want is more control: + Control over margins — by reducing reliance on OTAs + Control over guest relationships — to build loyalty and increase lifetime value + Control over distribution — so they’re not subject to someone else’s algorithm And to do that well, you need more than a better booking engine. More than a better PMS. More than more marketing spend. You need foresight. You need to know who’s coming, when, and how to influence that — across every part of the guest journey. That’s the contextual intelligence we’re enabling. With 5 billion data points and real-time signals from around the world, we can forecast demand with 96% accuracy at 180 days out — and 99% inside 90 days. Now, imagine tying that forecast directly to your marketing spend, upsells, staffing, and channel strategy — as a single system working in sync. That’s not just better forecasting. That’s better hospitality. #HospitalityAI #HotelLeadership #DirectBookings #RevenueStrategy #HotelTech #GuestExperience #HotelInnovation

The Hospitality Data That Nobody Uses Most hospitality brands think they understand their guests because they track the usual performance numbers. That's surface level. The real insight sits in the behavioral data that almost every property collects without even realizing it. I'm talking about the tiny signals that reveal what guests actually want, what slows them down, what annoys them, and what inspires them to spend more. This data is everywhere, and almost nobody uses it in a meaningful way. Here’s where the opportunity lives. Your guests tell you how to increase revenue through their patterns. How long they linger in the lobby. When they return to their room. Where they avoid walking. When they browse your app and immediately exit. How often they pass a restaurant without looking inside. These behaviors are not random. They're emotional decisions, and they're loaded with financial implications. When you understand the emotion behind the behavior, your ROI becomes predictable instead of reactive. If you want to turn this into real growth, start analyzing the data that shows friction. Look at the moments when guests cluster in certain areas and ask why. Look at the times when guests repeatedly ask your team the same questions. That means your communication failed somewhere. Look at what time people naturally crave food or drinks and match your promotions to their real patterns instead of pushing offers on your preferred schedule. This is behavioral revenue management, and it works every single time because it is built on truth, not on assumptions. Here’s a tactic almost no one uses. Review app engagement curves daily. If guests only stay on your app for a few seconds, that tells you your design is not helping them complete the actions that matter. Fix those pathways and you will see more bookings for experiences, more upgrades, more outlet spend, and more repeat visits. Another tactic is to study foot traffic through your public spaces. If a hundred people walk past the bar and only three sit down, the issue isn't demand. It's energy, layout, lighting, or service. Fixing that can double revenue in a week without touching your marketing budget. A weekly behavioral insights meeting should be mandatory. Bring one insight from tech, one from operations, one from F&B, and one from housekeeping. Compare patterns, not opinions. You'll start seeing emotional blind spots that cost you money. The fixes are simple, but the impact is immediate. This is how you create ROI from intelligence instead of luck. The brands that win over the next decade will be the ones that understand behavioral data better than their competitors. Not the ones with the loudest campaigns. Not the ones with the prettiest videos. The winners will be the ones who know what their guests feel, when they feel it, and why they act the way they act. That's where real revenue comes from. --- If you like the way I look at the world of hospitality, let’s chat: scott@mrscotteddy.com

Every hospitality brand I meet thinks they need more tech. They actually need less...but smarter 🧠 Been spending time with restaurant and hotel operators lately. The pattern is clear: They're not suffering from a lack of data. They're drowning in it. The real challenge isn't capturing first-party data. It's knowing which data matters for building lifetime guest value and efficiently connecting it. Here's what separates the winners from everyone else: They start with three simple questions: • What do we know about our guests today? • What should we know to serve them better tomorrow? • How do we connect those dots without adding complexity? The best operators are ruthless about integration priorities. They're not chasing every shiny new platform. They're building thoughtful tech stacks that turn moments into memories - and memories into loyalty. Take our recent work with hospitality brands at Klaviyo. The magic happens when you connect the right systems at the right touchpoints: -PMS data tells you when they stayed and what they spent. -Dining data shows their preferences and occasions. -Engagement data reveals what actually drives them back. Stack these insights together, and suddenly you're not just sending emails. You're creating experiences that feel personal because they are personal. One hotel partner told me: "We stopped thinking about systems and started thinking about stories. Every guest has one. Our job is to remember it." That shift, from data collection to relationship cultivation, changes everything 📈 The platforms charging you commission fees hope you never figure this out ‼️ But forward-thinking brands already have. Your guests aren't looking for another app or loyalty program. They're looking for you to know them. And with the right approach to first-party data, you can. Ready to turn your guest data into lasting relationships? Let's explore what's possible when technology serves hospitality, not the other way around. #hospitalitytech #restaurantmarketing #hoteltech #guestexperience #firstpartydata

AI is starting to show measurable results in hospitality — not just experiments. Recent findings from BCG highlight how hotels moving from pilots to real deployment are already seeing tangible gains. AI-driven pricing systems are helping some properties increase RevPAR by up to 15%, while predictive operations tools are improving efficiency across housekeeping, staffing, and resource management. The Ritz-Carlton San Francisco, for example, reported a 20% improvement in room-cleaning speed, and Four Seasons Peninsula Papagayo reduced food waste by 50% using AI-based tracking. At the same time, scaling AI across hospitality still faces structural challenges. Fragmented systems, limited AI talent, and the need for stronger data foundations remain key barriers. The hotels that are moving fastest are those integrating data across PMS, CRM, POS, and loyalty platforms — creating a unified operational view that allows AI to drive real decisions rather than just insights. The industry appears to be entering the next phase of adoption: moving beyond experimentation toward operational impact across revenue management, guest engagement, and property operations: https://lnkd.in/ez2tjCur #Hospitality #HotelTechnology #RevenueManagement #TravelTech

In hospitality, every touchpoint is a decision point. And your customers are watching closely. How long they wait. How the staff responds. How seamless their experience feels. That’s why hotel chains need predictive analytics. Not tomorrow. Today. Predictive analytics helps you: 1) Anticipate customer needs before they’re voiced 2) Optimise staff allocation during peak hours 3) Reduce wait times and improve service flow 4) Personalise guest experiences in real time 5) Prevent overbooking or underutilisation of resources Guests don’t just remember the room. They remember how they were treated and how smoothly everything ran. By analysing patterns in bookings, behavior, feedback, and service timing, hotel chains can run smarter operations while delivering world-class experiences. It’s not just about serving customers anymore. It’s about knowing them before they arrive. The hospitality brands that win tomorrow are the ones using data to deliver warmth at scale efficiently. #HospitalityTech #PredictiveAnalytics #HotelManagement #CustomerExperience 

IHG Hotels & Resorts has a portfolio of 6,800+ hotels and 145 million loyalty members across 100+ countries. That scale presents an enormous data challenge, including multiple systems, fragmented guest profiles, and inconsistent information, all of which make personalization difficult. IHG’s legacy MDM system made it increasingly challenging to manage growing data volumes and complex transaction needs. To support the company’s cloud strategy and improve operational efficiency, IHG transitioned to the Reltio Data Cloud platform. Reltio delivers enterprise-grade scalability, reliability, and rapid access to new capabilities through add-on modules, significantly reducing development and maintenance overhead. This cloud-based approach also strengthens IHG’s ability to meet regional compliance and data residency requirements worldwide. The results? ✅ 34% reduction in duplicate profiles ✅ 1.5M messages processed daily across systems ✅ Faster, more personalized service at every touchpoint But here’s the bigger story: this isn’t just modernization — it’s AI readiness. IHG now has the real-time, trusted data backbone and context to power intelligent guest interactions, predictive analytics, and AI-driven decision-making. As I often say, AI is only as good as the data and the context that fuels it. Enterprises that can drive trusted data with context intelligence today will define the next era of digital and AI transformation. You can read IHG’s full story here 👇 📖 Check out the IHG + Reltio Case Study: https://lnkd.in/gYrDmfvX

From Gut Feel to Data-Driven Hospitality ✨ Hospitality has always been about people. The warm welcome, the intuitive service, the memorable stay. But today, the foundation for those magical experiences is increasingly data — harnessed in real time to anticipate needs and unlock value. 🔹 Predictive Demand Forecasting No more relying only on historical booking curves. With AI, hotels and resorts can factor in weather, events, and even airline capacity to predict demand with precision. The result: smarter pricing, staffing, and inventory — improving both RevPAR and guest satisfaction. 🔹 Hyper-Personalized Journeys Guests expect the same personalization from hotels as they do from Netflix. Loyalty data, past stays, and real-time IoT signals (from mobile check-ins to room preferences) help create curated experiences that feel tailored, not templated. 🔹 Revenue Beyond the Room Dynamic pricing is expanding to spa bookings, dining, and excursions. By using data to optimize the whole guest wallet, leading brands are driving new growth while deepening loyalty. 🔹 Operational Excellence Digital twins aren’t just for cruise ships. Resorts and hotels are modeling energy use, predictive maintenance, and workforce scheduling — running leaner, greener, and reinvesting savings into guest experience. ⸻ 💡 At Cognizant , we see this transformation first-hand. We’re proud to be the Data & AI partner for 50% of the properties on the Las Vegas Strip — as well as other leading hotel brands worldwide. The takeaway? Data-driven hospitality isn’t about replacing human warmth with algorithms. It’s about equipping teams to serve smarter, not harder. When the tech fades into the background and the guest feels uniquely understood — that’s when hospitality truly shines. #Hospitality #AI #TravelTech #CustomerExperience #DataDriven

It’s not just about marketing. Guest data is the key to better operations, durable guest relationships, and the resulting growth of both sales and profitability. Guest data makes every facet of the restaurant business smarter and better. Ted's Montana Grill tapped Olo Professional Services and went all-in with Olo Engage, utilizing Host, GDP, Marketing Automation, Sentiment, and capabilities like SmartQuote for table wait times and SmartTags for making guests feel known to improve both operations and hospitality. As a result, 2025 was their best year yet: 🦬 63% of holiday reservations made from email campaigns 🦬 62% increase in marketable guests YOY 🦬 23% fewer guests abandoned the waitlist Take it from Jessica Smith, Vice President of Marketing of Ted’s Montana Grill: “With Olo, we can treat every guest like a regular, even without a traditional loyalty program. By investing in the full Engage suite, we can activate our dine-in guest data and, through personalization strategies, turn first-time visitors into measurable, loyal guests.” Read the full Ted’s Montana Grill Olo Case Study: https://lnkd.in/e-KrDD6u