CASE STUDY
Managing 40 Million Travel Offers with Structured Intelligence
A leading online travel platform helps users search, compare, and book hotels and travel packages across a wide range of destinations. With tens of thousands of accommodations and real-time availability, the platform aggregates offers from multiple suppliers and tour operators, giving travelers a reliable way to find and book the right stay in one place.
With nearly 40 million offers and around 20 key attributes per listing, this travel agency platform reflects the true complexity of online travel. Each hotel comes with its own combination of room types, rates, amenities, policies, and images, all of which must be accurately structured, standardized, and presented to help travelers make confident booking decisions.
The Challenge
Travel is a high-consideration purchase. Booking a hotel involves careful analysis, comparison across multiple options, and confidence in every detail. Travelers must know the exact facilities, room types, rates, policies, and amenities before committing.
For travel platforms, challenges include:
- Information overload: Managing tens of thousands of hotels, rooms, and offers from multiple suppliers with varying data standards.
- Inconsistent content quality: Hotel descriptions, images, and amenities differ widely in format, language, and depth.
- Fragmented supplier data: Listings for the same hotel may come in multiple languages, with duplicate or missing details.
- Trust and credibility pressure: Travelers rely on accurate information; errors or inconsistencies can undermine confidence and satisfaction.
- High abandonment risk: Any friction in search, filtering, or understanding offer details can cause users to leave the site.
Travelers face long decision cycles, careful comparison between listings, and a strong reliance on filtering tools, especially for specific needs like pet-friendly rooms, amenities, or exact location. Missing or inconsistent information can prevent booking altogether.
The Solution
What the Travel Agency Needed
It approached Dyver.Ai with the challenge of 50,000 initial hotel listings spread across 82 input fields, needing a clean, structured output. They required:
- Concise, structured data mapped to platform fields;
- Accurate, brand-tone HTML descriptions for each hotel, ready to reach travelers in their own language;
- Relevant images extracted and matched to listings;
- Attributes normalized and verified to support filtering and comparison.
The Dyver Approach
Dyver streamlined and enriched the agency's data using a multi-step AI workflow:
- Map: Align supplier fields to the respective website fields;
- Search Site: Query hotel websites for gallery images, facilities, and amenities;
- Extract Attributes: Pull key attributes from hotel descriptions and raw facility text, producing structured facilities lists for filtering;
- Write: Generate structured HTML hotel descriptions in the agency's tone of voice, written natively in English, German, French, and Romanian, so every market reads naturally instead of through translation;
- Analyze & Map Images: Review each property's image set with AI, then extract and assign the strongest exterior, interior, and pool/spa/wellness image to each listing;
- Write Short Introductions: Generate concise HTML summaries based on existing descriptions;
- Map Facilities: Link attribute data to platform-specific facility IDs.
From 82 mixed inputs → 7 structured, website-ready fields, Dyver created a single, reliable source of truth for each listing, ensuring consistency, clarity, and usability across every market the platform serves.
The Outcome
With Dyver, the travel agency achieved:
- Structured over 50K hotels data tailored to platform requirements;
- SEO-friendly HTML descriptions, written natively in English, German, French, and Romanian, in the platform's voice;
- Relevant images and gallery content, automatically analyzed and mapped to the right slot (exterior, interior, pool/spa) for each listing;
- Normalized attributes for precise filtering and comparison;
- Cleared a backlog of thousands of properties that had been stuck behind one employee processing them manually, at roughly 20 minutes per listing;
- Streamlined content management, reducing errors, duplication, and operational overhead
By transforming fragmented supplier feeds into clean, ready-to-publish listings across four languages, the travel agency platform now offers travelers clarity and confidence at every step of their booking journey.
From fragmented hotel data → structured listings → trustworthy, seamless booking experiences.
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