LIVE SUPPLIER DATA
Map rooms instantly from true live availability data so AI agents can compare, recommend and sell the right room without manual work.
REAL-TIME PRICE INTELLIGENCE
Use Room Matching at search level while querying supplier APIs to detect equivalent rooms, remove duplicates and surface the best margin opportunity.
99% AUTOMATED ROOM INTELLIGENCE
Give your AI agents structured room intelligence instantly: room type, attributes, grouping, range, scoring, sentiment, multilingual labels and pricing context.
CONVERSATIONAL BOOKING READY
Power natural language room search, personalized recommendations and higher conversion with room data your AI can actually understand.
Room Matching turns fragmented supplier room data into structured, comparable and actionable room knowledge in real time.
The objective is not simply to normalize room names. The objective is to help AI understand room quality, room value, room equivalence and room suitability for a specific traveler.
Detect room equivalence across suppliers and prevent incorrect comparisons.
Give AI agents room-level understanding and explanation capabilities.
Compare equivalent rooms and identify the best commercial opportunity.
Room Matching becomes the room intelligence layer behind your search engine, recommendation engine, pricing system or AI travel assistant.
Four intelligence layers transform live supplier room data into AI-ready room decisions.
Send to the API the list of received rooms.
Rooms are mapped in real-time @ 1500 rooms per sec.
Detect room type, category, view, beds, amenities, restrictions and commercial signals.
Group rooms by real similarity across suppliers and remove duplicates.
Place rooms into comparable quality ranges and market positioning groups.
Evaluate room attractiveness based on room attributes, amenities, restrictions and commercial relevance.
The complete room intelligence workflow used by AI agents to transform live supplier room data into actionable recommendations.
Give every room a stable intelligence layer. Reduce ambiguity, protect product truth and distribute rooms with more control.
Optimize revenue at the real room level. Track supplier performance, comp sets and margin signals with granular room intelligence.
Add room intelligence to search, booking and rebooking flows. Use the same room knowledge before, during and after booking.
Build better AI recommendations and room-level personalization. Let agents operate at destination, hotel and room level with consistent data.
Room Matching is the AI room intelligence layer that processes live hotel supplier data, standardizes room content, groups equivalent rooms and helps platforms maximize conversion and margin at scale.
Type a room name or use a shortcut. The engine will structure it instantly for AI agents and booking flows.
Leverage room intelligence across the entire traveler journey to increase revenue, improve personalization and unlock room-level decision automation.
Automatically synchronize, normalize and enrich room data from all suppliers into a unified room intelligence layer. Every room, attribute and description is mapped into a consistent AI-ready format.
Power advanced filtering and natural-language search with requests such as “Looking for a Greek Islands family suite with a private pool.” Match traveler intent against real room attributes instead of supplier room names.
Four complementary outputs give AI agents the room knowledge they need for search, comparison, pricing, analytics and recommendations.
1 - Understand the room
Covers room type, category, view, beds, amenities, policies and commercial signals.
Makes room facts usable for conversion-focused AI.
2 - Match equivalent rooms
Equivalent rooms are grouped by your chosen rules and duplicates are removed.
Compare supplier rates during availability search.
3 - Position the room
Rooms are positioned by range and market value, from moderate to high-end.
Live comp set definition.
4 - Score the value
Attributes are valued according to their impact on relevance and price perception.
Best value detection for each intent.
Your mapping response is tailored to your AI, UX and revenue logic, with full customization.
Send to the API the list of received rooms from suppliers avail. calls. They are mapped in real-time @ 1500 rooms per sec.
Supported languages for input and translations are EN, PT, ES, FR, IT and DE.
Our room intelligence supports:
Hospitality and revenue:
- Dynamic pricing, markup optimization and demand forecasting
- Unified B2B and B2C room data for OTAs and metasearch
AI and personalization:
- AI-ready room datasets for agentic travel
- Conversational AI and personalized trip builders
Advanced analytics:
- Market trend prediction
- Reward program optimization
High-performance API:
- Delivers fast responses for high-volume search traffic
- Built for natural language room intent such as “luxe Miami Beach suites with pool”
Perfect for:
- Metasearch engines and OTAs
- Dynamic pricing and revenue tools
- Conversational AI agents and booking bots
A single dynamic pipeline connects agentic search, supplier identity, room mapping, enriched content and best-rate decisioning.
Capture traveler intent, context, constraints, destination logic and preference signals before querying inventory.
Run business rules, supplier priorities, ranking logic, margin strategy and workflow automation through specialized agents.
Resolve supplier hotel IDs live, connect inventory records and remove ambiguity before room and rate comparison.
Map rooms and rates directly from live availability responses, with or without a pre-existing cache.
Generate contextual content, traveler-specific explanations, room reasoning and destination-aware recommendations.
Return the best hotel, best room and best commercial opportunity based on live rates and business priorities.
Agentic search → agents → ID mapping → room type mapping → enriched response → best hotel choice → best rate.
Send raw supplier room data and receive an AI-ready enriched mapping result.
Example room object with references, supplier room name and description, including HTML if needed.
AI-ready mapping result with room intelligence fields, scoring, classification, translations and optimization data.
How does Room Matching improve AI search and find better room rates?
Click below to explore the B2B/B2C UX simulator and see how room intelligence improves search, filters and conversion.
Case study: 100 km radius around Faro, Portugal, with 5 suppliers.
723 hotels and 27k rooms instantly mapped, equivalent rooms grouped and best deals detected.
Autocomplete search and detailed filters accelerate room discovery.
Shortcut buttons automate deep filtering for travelers, beds and high-value room features.
Find the best deals per room type and matching group with duplicates removed.
Optimize market-level pricing in one click and visualize profitability opportunities.
Key answers about real-time room mapping, agents, supplier data, pricing and integration.
All usage modes: static, 24-hour, hybrid, deferred, batch, on-the-fly and real-time.
Cost based on volume.
Map supplier hotel IDs all together in real time.
The ideal foundation for AI agents, live inventory building and supplier normalization.
These supplier selectors are kept for the existing Hotel ID mapping JavaScript and live response logic.
Real time hotel ID mapping gives AI agents the identity layer they need before room mapping, rate comparison and enriched response generation.
I help travel actors build the missing intelligence layer between current systems, live supplier data and AI-driven selling.
Most travel platforms still rely on disconnected systems, static mappings, fragmented supplier inventories and generic AI tooling.
I design and implement complete AI-powered travel intelligence pipelines combining:
Understand traveler intent, context and constraints before searching inventory.
Specialized AI agents executing business rules, ranking logic and automation workflows.
Real-time supplier inventory normalization and hotel identity resolution.
Live room and rate mapping directly from availability responses without cache dependency.
Contextual content, recommendations, explanations and traveler-specific reasoning.
Deliver the best hotel, best room and best rate for every traveler request.
Agentic Search → Custom Agents → Supplier ID Mapping → Room Type Mapping → AI Enrichment → Best Hotel Selection → Best Rate Opportunity
