Hotel mapping is the exercise of assigning unique identifiers to hotels appearing from different suppliers enabling accurate price comparison and clean inventory at scale. StructurrAI does this end-to-end with AI.
The problem
When OTAs and travel platforms pull inventory from multiple suppliers, the same hotel can appear under dozens of slightly different names, addresses, and identifiers causing duplicate listings, price mismatches, and bad bookings.
Before StructurrAI
After StructurrAI
Why StructurrAI
Not all mapping solutions are equal. Here's what sets StructurrAI apart from legacy and manual approaches.
Our proprietary AI algorithm handles the full mapping pipeline from raw supplier data ingestion to unique identifier assignment with no manual intervention required.
Precision-tuned language models trained on hospitality data deliver 99%+ matching accuracy even on sparse, noisy, and inconsistent supplier records.
Over 99% coverage across properties including long tail and boutique hotels often missed by competitors that focus only on large chains.
Capable of matching hotel records across any language Arabic, Japanese, Portuguese, and more making StructurrAI the right choice for global OTAs and DMCs.
End-to-end automation slashes turnaround time. Get mapping results in 8–10 hours for update cycles not days or weeks like manual workflows.
Simple REST APIs designed to drop into your existing booking workflow with minimal integration effort and low engineering overhead.
What you get
StructurrAI isn't just a deduplication tool it delivers the full, structured content layer your platform needs to show travellers the right hotel, every time.
Normalized hotel names, categories, and descriptions consistent across all connected suppliers.
Hotel names and addresses sourced and verified from the property's own website for maximum accuracy.
High-quality, correctly attributed hero images for every property to improve conversion on your platform.
Verified geotags for every property, enabling accurate map views and location-based search on your platform.
Hotels correctly assigned to cities, districts, and neighbourhoods so destination search works as expected.
All hotel content is structured, normalized, and delivered through our REST API ready to power your booking platform, metasearch, or B2B portal.
Designed for
Our performance
Real production metrics from live deployments across our customer base.
Under the hood
Three core technical pillars make our mapping the most reliable in the industry.
Our models are trained specifically on hospitality data hotel names, address formats, and supplier naming conventions across dozens of markets. Unlike general-purpose LLMs, StructurrAI's models understand the nuance of how the same property is referenced differently around the world.
Fine-tuned LLMsReal-world supplier data is messy fields missing, truncated, or inconsistently formatted. StructurrAI uses contextual inference to fill gaps intelligently, using surrounding data signals (city, star rating, chain affiliation, geolocation proximity) to resolve ambiguous records with high confidence.
Context inference engineFrom data ingestion to unique ID assignment, every step is handled by our proprietary pipeline. No human bottlenecks, no rule-based shortcuts. The algorithm is continuously retrained on mapping outcomes, meaning it gets measurably more accurate over time faster turnaround with higher precision.
Proprietary pipelineBuilt for
Online travel agencies handling inventory from dozens of suppliers simultaneously
Wholesale hotel distributors who need clean, deduplicated hotel data at scale
Destination management companies aggregating regional hotel inventory
TMCs and corporate booking tools requiring accurate, policy-compliant hotel data
Talk to our experts or get a personalized demo of StructurrAI's Hotel Mapping solution.