Start with the requests your guests make. See how to assess Dynamic Inventory against your rooms, booking process and business goals.

What changes when the booking starts with the guest’s needs? Compare GauVendi’s Dynamic Inventory with hotel booking engines, using your own rooms and real results.

How GauVendi works with your PMS, RMS and distribution—and lets you build your own booking interfaces and AI applications on Dynamic Inventory.

How an OPERA Cloud property uses GauVendi as its internet booking engine to sell room features rather than room types — connected through the Oracle Hospitality Integration Platform and listed on the Oracle Cloud Marketplace under Internet Booking Engine.

How an apaleo property uses GauVendi as its direct booking engine and CRS to sell room features rather than unit groups — listed on the apaleo Store under Booking engines and Central reservation systems.

How a Mews property uses GauVendi as its direct booking engine to sell balcony, floor, view and bed configuration rather than space categories — while keeping Mews as the PMS.

Not unless you change what it actually sells. You can redesign the page all you like, but underneath it is still the same room categories the OTA already show. The hotels that win more direct business sell something else: real products guests connect with, priced for the value they see. For years, a nice booking page helped you sell. Sales teams showed the design. Hotels bought the design. But was that ever driving performance? Today a beautiful, modern booking page is easy a

At the city business hotel in our published property stories, 78% of direct bookings chose a feature or experience product. At the country hotel, 76% did. Giving guests more relevant products changes what they can choose. A guest looking for a stay may have something more specific in mind than a “Superior Double”: the quiet side the balcony the high floor the walk-in shower the view …bundled into a real product they can recognize, compare, and book. AI just exposed what

Something fundamental has shifted in how travelers find hotels. Instead of scrolling through OTA listings, a growing number of guests are asking AI assistants: "Find me a quiet hotel room with a garden view near the old town." And the AI doesn't search categories — it searches features. How AI Search Actually Works Large Language Models like ChatGPT, Claude, Perplexity, and Google's AI Overview don't think in room categories. They match on descriptions, features, and structur

Every time a guest books your "Standard Double" on Booking.com, you pay 15-25% commission on a product that looks identical to the hotel next door. You're funding the OTA's marketing machine — which then sells that visibility to your competitors. The cycle only breaks when you stop being comparable. Why OTAs Win: Comparability Is Their Business Model OTAs aggregate comparable products and let guests sort by price and review score. As long as every hotel sells "Standard Double

Every night, hotels leave money on the table. Not because their rooms are empty — but because they're selling the wrong product to the wrong guest at the wrong price. The culprit? Static room categories that were designed for a distribution system that no longer reflects how guests search, compare, and buy. Hotels that match demand to supply at the feature level are outperforming their competitors by 20% or more. Hotels that don't are becoming invisible — to search engines, t

A guest wants a particular stay. Your hotel has rooms that can deliver it. Here is how Dynamic Inventory connects the two, from the offer to room assignment.

Preamble In Leisure hotels, inventory (rooms, holiday apartments, or houses) is generally set up and offered in a much more granular way than in city hotels. On the one hand, guests with longer stays often have very specific ideas and expectations regarding their accommodation. On the other hand, due to the differences within a property, inventory can often hardly be reduced to the lowest common denominator without creating disadvantages in sales. Different operational costs

Why Hotel Bookings Are Broken in the Age of LLMs A few weeks ago, I booked a hotel for a short business trip. The photos looked great. The room category sounded perfect: “Deluxe City View.” The reviews were reassuring. Everything pointed to a seamless stay — until I arrived. What I walked into was technically the room I had booked. But experientially? Not even close. The view was a glimpse of a rooftop AC unit. The quiet I expected turned into elevator shaft symphonics. The d

Hoteliers love to talk about emotion, experience, and connection — yet when it comes to selling rooms, the process remains cold, rigid, and transactional. In a world where AI understands individuality better than ever before, the hotel industry still clings to simplified, categorized room sales. It’s a contradiction, one that keeps many properties trapped in sameness. AI can read individuality better than any hotel ever could. Yet hotels keep selling simplified, static room c

Hoteliers vs. OTAs – A Debate with Blind Spots The discussion between hoteliers and OTAs (Online Travel Agencies) has been heating up for years. Often, it feels stuck. Some hotels build their entire strategy solely around their OTA rankings. They even launch campaigns offering lower prices on specific platforms or apps than on their own website. At the same time, many are not willing to invest even 1% of their room revenue into direct sales activities. Instead, they funnel mo

Still offering generic room categories and relying on automation? You're sinking into commoditization, losing profits—and your guest data is useless without personalized products! For years, clustering accommodation into broad, generic room categories wasn’t a smart strategy—it was simply a necessity. Hotels had no other choice, and it was a model that only truly benefited large distribution players. The result? Hospitality is now in a downward spiral where automation an