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.
99.99% AUTOMATED ROOM TYPE MAPPING
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.
MAP AND FORGET
Map rooms instantly from your live availability calls to suppliers, recommend and sell the right room without manual work.
Room Matching maps equivalent hotel room types in real time, directly from suppliers' live availability responses, turning fragmented room labels into structured, comparable room types without the need for a pre-mapped cache layer.
The goal is no longer only to standardize names. The goal is to let AI agents understand rooms as sellable products: what they are, how they differ, which ones are equivalent, which one has the best value, and which one should be recommended for a specific traveler intent.
Equivalent rooms are recognized across systems before the user books.
Room descriptions become clear, comparable and usable by conversational agents.
Duplicates are removed and rates are compared at true room level using live supplier data.
Room Matching is designed as the automation layer behind your system or AI agents: it performs the room-level understanding, grouping and scoring work so you can focus on selling.
The engine reads the live supplier room name and description, detects room type, category, view, bed setup, amenities, restrictions and commercial signals.
Rooms are grouped by real similarity, not by supplier label. This enables true supplier comparison, duplicate removal and best available offer detection.
Each mapped room is positioned by quality range and commercial segment, giving agents and revenue tools a live comp set for ranking logic.
Rooms are scored by attribute value, including type, view, beds, amenities, restrictions and differentiators that influence conversion and price perception.
Type a room name or use a shortcut button. Mapper will structure it instantly.
For your current booking flow & dynamic AI agents.
Use the same AI-ready room intelligence across discovery, booking and rebooking to improve relevance, automate comparison and protect margin.
Build a clean room intelligence cache from supplier content, then update only what changes. Your AI starts from structured room facts instead of raw labels.
Let users and agents search naturally, for example “Greek islands family suite with private pool”, and match the intent to real rooms.
Discovery intelligence → live booking comparison → supplier rate optimization → post-booking recheck → smarter recommendations.
Your mapping response is tailored to your AI, UX and revenue logic, with full customization.
Supported languages for input and translations are EN, PT, ES, FR, IT and DE.
Blueprint rooms with a stable intelligence layer. Enable direct, secure and intelligent distribution.
The room intelligence ID improves traceability, interoperability and control across the travel ecosystem.
By generating a compact, system-agnostic ID with embedded mapping references, you can:
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.
Your current workflow & 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.
Every supplier room label is broken into structured attributes. This is the dictionary the engine detects, grouped and scored to compare rooms across suppliers.
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 "unknown" hotel to your inventory or multiple suppliers at same time, in real time.
When your LLM returns a reco for a hotel. Does it exist in your inventory?
Connects LLMs or agents to the B2B world without limitation.
The ideal foundation for AI agents orchestration, A2A on hotel query.
Coming outside your inventory. Directly from suppliers listings. No pre-mapped cache. For AI agents, orchestration, skills, .md, MCP
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.
OpenClaw, Hermes, open sources models, orchastration. 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
