Integrating AI Booking with Guest Experience Management

Accor just made a move that should scare every hotelier who still thinks “AI = chatbot on the website”. Accor launched the ALL Accor experience inside ChatGPT, so travelers can search hotels in natural language, see public + loyalty-member rates, and then get redirected to Accor’s booking flow to complete the reservation. Alix Boulnois, Accor’s Chief Business, Digital & Tech Officer, framed this as a “pivotal moment” for how people will discover and book travel. That’s not PR fluff. That’s a distribution strategy. Because the real story isn’t “wow, cool feature”… it’s this: The hotel website is no longer the start of the journey The start is becoming: one prompt. And the hotels that win will be the ones that can answer instantly: “I’m landing at 07:30, can I early check-in?” “Spa slot tomorrow at 17:00?” “Airport transfer + baby cot + late checkout?” “Show me options near X, with Y, under Z.” Accor is betting the battle moves from ranking on Google → to being the best answer in AI chat. Why this is a big deal (even if bookings still happen on Accor.com) Because discovery is the choke point. If guests shortlist you inside AI: - you capture intent before OTAs and metasearch - you pull loyalty into the conversation earlier - you reduce friction to “book now” - you increase visibility where the next generation actually plans trips My hot take In 12–24 months, “we have an omnichannel inbox” will be table stakes. The differentiator will be: who runs the best AI-native guest journey: pre-stay personalization instant ops answers upsells at the right moment consistent brand tone zero friction handoffs to booking + staff

We talk a lot about "AI-driven experiences," but I wanted to show you what that actually looks like in reality. You shouldn't have to fill out a 10-field form just to invite a client to the office. Here is the workflow I just walked through using our AI, Kadence: 1. Natural Language is the new UI I opened Microsoft Teams (works in Slack too) and simply said: "I’ve got a guest coming in tomorrow at 3:00 PM... I need a meeting room for three people". No toggling apps. No calendar tetris. 2. Context is King The AI didn't ask me "Which building?" or "Which floor?" It already knows the floors I’m usually on and where my assigned space is. It immediately offered me relevant options on the 37th and 40th floors. 3. It Handles the "Busy Work" I added two external guests, "John and Jane." The system recognized their email domain (@taylor.com) wasn't part of my organization and automatically flagged them as visitors. Once I confirmed, it didn't just book the room. It automated the entire visitor journey: Sent Outlook/Google invites. Emailed guest parking and local transport instructions. Included the NDA and Wi-Fi details. 4. The "Contractor" Use Case I also tested booking a desk for a contractor named Frank. Because the system understands neighborhoods, it booked a desk near me automatically so we can actually collaborate. When they arrive? They scan a QR code at the kiosk, and I get alerted instantly. This is how simple it should be. I can’t promise the AI will bake you cookies (yet), but I can promise a delightful end-user experience

🚀 Building an AI Agent for Hospitality Automation (Part 2) Update on the project — I’ve now built a working UI and connected it fully with the backend. What started as APIs is now turning into something you can actually use end-to-end. 💻 What’s done in this phase • Built the frontend using React + Tailwind CSS • Integrated it with the FastAPI + LangChain backend • All core functionalities are now working from the UI: ✔ Create booking ✔ Check booking ✔ Update booking ✔ Cancel booking You can simply interact through the interface, and the AI agent handles everything behind the scenes. from understanding the request to updating MongoDB. It finally feels like a real product instead of just a backend system. 💡 One thing I focused on here was keeping the interaction simple, the idea is that even non-technical users should be able to manage bookings without navigating complex dashboards. 🔜 What’s next Now moving towards making this more production-ready: • Adding authentication (multi-user access & security) 🔐 • Introducing voice-based booking so users can speak instead of type 🎙️ • Improving overall UX and flow • Gradually shaping this into a CRM-friendly system The goal is to build something that can actually fit into real hospitality workflows, not just a demo. I’ll keep sharing the journey as I keep building this out. If you’re working on AI agents, voice interfaces, or real-world AI products, would love to connect 🤝 #AI #AIAgents #React #TailwindCSS #FastAPI #LangChain #MongoDB #VoiceAI #BuildInPublic #HospitalityTech

This ChatGPT feature will change travel & hospitality forever. The day AI stops recommending and starts selling is here. Until recently, ChatGPT could tell you what to buy. Now, it can sell it to you directly. No browser tabs. No booking engines. Just: “I want this.” → “Buy.” → Done. It’s called Instant Checkout, built with Stripe . At launch it’s limited to simple products, but the direction is clear AI is becoming a commerce layer, not just a conversation. Why this changes everything for hotels For years, hotels have been optimising for search: keywords, metasearch, OTA rankings, paid clicks. That era is ending. Soon, travellers won’t “look” for hotels they’ll ask an assistant to design their stay. “Find me a design-led hotel in Florence with great coffee and an outdoor tub.” “Book a weekend where I can switch off completely, yoga, silence, forest.” And ChatGPT won’t just show links. It will build the itinerary, compare inventory, and complete the purchase inside the chat. That means the question is no longer “How do we rank higher on Google?” BUT “How do we become understandable and buyable to AI?” What tomorrow could look like Instead of booking engines, imagine this flow: Guest: “Plan me a 2-night recharge in Tuscany.” ChatGPT: “Would you like thermal baths, vineyard spa, or forest retreat?” Guest: “Vineyard.” ChatGPT: “I’ve found 3 properties. One includes cold plunges and biodynamic dining, €890. Confirm?” That’s not science fiction it’s the logical next step of Instant Checkout. The entire funnel collapses into a single dialogue. How hotels can prepare right now 1️⃣ Make your experiences machine-readable Structure your offers like data. “Private wine tasting, €120, 60 min, available Tue–Sat, includes transfer.” 2️⃣ Rethink your product catalogue Instead of “rooms” and “rates,” design modular experiences: morning rituals, energy resets, chef-led tastings, sunset rituals. 3️⃣ Expose your inventory to AI Ensure your website and PMS feed clear, structured information that APIs and agents can read and understand. 4️⃣ Keep ownership of fulfilment When bookings happen through assistants, whoever fulfils keeps the relationship don’t outsource that part. Hospitality used to be about visibility. Now it’s about readability. The hotels that speak the language of algorithms clear, structured, meaningful experiences will appear first when AI plans your guest’s next trip. AI won’t replace hoteliers. But it will reward the ones who make their experiences easy to buy. P.S. If you found this valuable, that’s exactly what we do. We help hotel brands refine their positioning, branding and user journey to drive direct bookings. Send me a DM for more info :)

Google’s Booking Trips Now. And It Might Not Be Recommending Your Hotel. Google took the funnel. Canvas. Flight Deals. Agentic Booking. They are the new infrastructure of travel. ➡️ Canvas is Google’s AI-powered trip planning workspace. You describe the trip you want. The AI builds it instantly. Live hotel pricing. Flight options. Restaurant picks. Activities. Walk times. Reviews. A full itinerary, all in one side panel. You never need to visit a hotel site. ➡️ Flight Deals listens for intent. You can say something vague like "somewhere warm in January." The AI scans destinations, compares prices, and shows you the cheapest options in seconds. ➡️ Agentic Booking takes it further. The AI checks real-time availability for restaurants, events, and soon hotels. Then it sends you straight to the booking page. No discovery. No consideration window. No second chance. Your hotel doesn’t show up unless it is already structured for AI. If you are not embedded in the logic of the plan, you are not part of the journey. AI doesn’t care how charming your homepage is. It doesn’t wait for your pop-up to capture an email. It doesn’t read your story. It scans for structured data, rich content, pricing signals, and authoritative responses. If your brand isn’t in the AI layer, it’s out of the funnel. And someone else owns your guest. The Commercial Org Has a Choice: Build or Vanish You’re fighting for relevance inside an AI-first booking path. Here’s what needs to happen immediately: 1️⃣ Retrain Your Team to Think in AI Train your team on how AI interprets content, how travelers ask questions, and how to think in systems. 2️⃣ Turn Your Direct Channel into a Machine-Readable Asset Structure your data. Tag your content. Speed up your load times. Every pixel should be built for discovery and retrieval by AI. If it can’t parse it, it won’t show it. 3️⃣ Redesign Campaigns for the Prompt Economy Guests don’t search “hotels in Tulum” anymore. They ask “Where should I stay for a quiet wellness weekend near the beach?” If your campaigns don’t match the language of AI prompts, you’re invisible. 4️⃣ Deploy Agentic AI Before OTAs Do It for You AI voice agents. Automated booking flows. 24/7 language coverage. Revenue infrastructure. Own the interaction. 5️⃣ Generate Your Own AI-Optimized Visuals AI is parsing visual content to match user intent. Build a visual library that reflects your vibe, your location, your people. Or Google will use someone else’s. This Is the Split Moment Hotels that adopt AI early will compound visibility, relevance, and direct revenue. They’ll move faster, test more, and create paths that AI can follow. The rest will build content no one sees. Campaigns no one clicks. Offers no one converts. If your team wants to protect margin, speed up execution, or needs help designing an AI-first direct strategy, reach out. Don’t wait to get cut out.

How to prepare your hotel for the Agentic AI upheaval? 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. Where do hoteliers start? Implement a CRM technology to aggregate all of the property’s first-party and zero-party data, which is then cleansed, de-duped, enriched and appended. If you already have CRM in place, consider upgrading to a CDP to empower property operations and deliver above-and-beyond customer service and personalization. First-party data is the customer data (past customers & guests, website users, opt-in email subscribers, lists of corporate travel managers, meeting planners, wedding and event planners, SMERF group leaders the property has been doing business with or at least in communications with, etc.) that comes from the PMS, CRS, WBE, from the property's website, opt-in email sign-ups, even customer lists sitting on laptops of sales and marketing personnel. The CRM (and CDP for more complex independents, midsize and smaller brands) provides “a single source of truth” for guest data and creates 360-degree guest profiles, augments these with preferences, social media ambassadorship, customer engagement data, etc., which enables ALL hotel departments to do their job more efficiently and effectively. The more you know about your guests, their preferences, their likes and dislikes, their past stay history, and their RFM value (Recency, Frequency, and Monetary), the better you can deliver value, recognition, and personalized service. AI can make this process a thousand times more efficient and effective. Ex. Operations can now anticipate guest requests and preferences, and personalize customer experiences; Marketing can finally embark on one-to-one marketing and can significantly increase customer engagements via similar audiences marketing. First-party and zero-party guest data have become more precious than gold today due to government privacy regulations as well as browsers and search engines own privacy protections. The moral of the story? Before jumping into futuristic AI connectivity projects with Model Context Protocol (MCP) or Agent-to-Agent (A2A), take care of the fundamentals to prepare for the upcoming Agentic AI upheaval that will, inevitably, take over hotel bookings, guest relationships and personalization over the next years.