Managing 40 Million Travel Offers with Structured Intelligence

CASE STUDY

Managing 40 Million Travel Offers with Structured Intelligence

A leading Romanian 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 with the challenge of 50,000 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
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
Write: Generate structured HTML hotel descriptions in agency’s tone of voice, using enriched attributes
Map Images: Extract and assign images from JSON feeds
Extract Attributes: Pull key attributes from hotel descriptions for filtering
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.

The Outcome

With Dyver, the travel agency achieved:

Structured over 26K hotels data tailored to platform requirements
SEO-friendly HTML descriptions in the platform’s voice
Relevant images and gallery content automatically extracted and mapped
Normalized attributes for precise filtering and comparison
Streamlined content management, reducing errors, duplication, and operational overhead

By transforming fragmented supplier feeds into clean, ready-to-publish listings, 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.