Every hotel supplier names, describes, and categorises rooms differently. StructurrAI's Room Mapping resolves this chaos standardising room-level data across 30+ parameters so your platform always shows the right room at the right price.
Deep analysis
StructurrAI doesn't just match room names it extracts and standardises the full attribute set for each room type, giving your platform the structured data it needs to display accurate, comparable inventory.
King, Queen, Twin, Double, Bunk detected and standardised across all supplier naming styles.
Core attributeSquare footage or square metres extracted and normalised from free-text descriptions.
Core attributeStandard, Superior, Deluxe, Suite, Studio mapped to a clean unified category taxonomy.
ClassificationCity view, sea view, pool view, garden view extracted and tagged per room.
ClassificationRoom-only, B&B, half-board, all-inclusive used in Parent-Child clustering logic.
ClusteringFree cancellation, non-refundable, and partial structured and linked to child room variants.
ClusteringHow StructurrAI is different
StructurrAI cross-references hotel websites to establish the ground truth of what rooms actually exist so supplier naming chaos gets resolved to a single canonical room record.
Website benchmarking
StructurrAI has merged 300K+ hotel websites to provide current, accurate benchmarking of room names. When a hotel's own website shows only one Deluxe category, we know that all the supplier variants Deluxe King, Deluxe Double Bed, Deluxe Full Double are the same room.
So we merge all the cases into a single canonical room: Deluxe, 1 King Bed. No duplicates. No conflicting prices. Just clean, accurate inventory.
Smart clustering
The same physical room type is often listed multiple times once per meal plan, once per cancellation policy. StructurrAI uses Parent-Child clustering to group these variants correctly, giving your platform a clean, non-duplicate room hierarchy.
The canonical room type e.g. "Deluxe King Room" defined by physical attributes (bed, size, view).
Room-only, B&B, half-board, and all-inclusive variants clustered as children of the same parent.
Free cancellation vs non-refundable rates linked as children so price comparison is clean and accurate.
Cluster example
All 4 children map to the same physical room. Your platform shows one room card with multiple rate options instead of 4 separate duplicate entries.
What's included
Every mapped room type is delivered with a complete structured data package ready to power your booking UI.
Capabilities
Fine-tuned language models trained on hospitality data parse and structure room names from any supplier, in any language, with no manual rules.
Room names and categories are validated against 300K+ hotel websites the most reliable source of ground truth for what rooms actually exist.
When suppliers update room data, StructurrAI re-maps incrementally keeping your inventory current without re-processing everything from scratch.
All mapped room data delivered via developer-friendly REST APIs. CSV integration also supported for teams who prefer file-based pipelines.
Room names in Arabic, Japanese, French, Spanish no problem. StructurrAI resolves room names regardless of the source language.
Self-service portal with dashboards to evaluate supplier content coverage, mapping completeness, and quality scores per provider.
Room Mapping explained
Room Mapping is the process of identifying, standardising, and de-duplicating room-type data across multiple hotel suppliers. When an OTA or travel platform connects to more than one supplier Expedia, Booking.com, WebBeds, Trip.com the same physical room in the same hotel can appear under dozens of different names, each with slightly different attributes, descriptions, and prices.
Without room mapping, your platform displays duplicate room entries, confuses travellers, and makes accurate price comparison impossible. A customer looking at "Deluxe King" on one card and "Deluxe Double Bed" on another has no way of knowing they're the same room and neither does your booking engine.
StructurrAI's Room Mapping solution resolves this by assigning a unique canonical identifier to every room type across all your connected suppliers. We analyse 30+ room-level parameters bed type, bed size, room category, view type, room size, meal plan, cancellation policy and cross-reference the output against 300K+ hotel websites to ensure every room name is accurate and current.
The result: a single, structured, deduplicated room catalogue that powers better search, cleaner price comparison, and higher booking confidence on your platform at any scale, in any language.
Learn more
Talk to our experts or get a personalised demo of StructurrAI's Room Mapping solution.