Room level type mapping
Type, specs, amenities & more
Filter & duplicate suppliers
Map best rate by room specs
Hotel & vacation rental
Map type, style, SEO & more
Type, specifications & amenities
Bring personalization to B2B & B2C
Sort cheapest room per range
Room level personalization
Map room's description & get a smart website personalization, to find best value for the money, for more productivity & margin, To provide a better UX & experience
info@room-matching.comDirect benefits

A customer & personalization oriented website
- Enhancing overall SEO
- Providing a better UX
- Strengthening brand loyalty
- Increasing discoverability
- Fast forward selection
- Implementing personalization
- Fine-tuning search for sales

Live price optimization at user search level
- Compare margin per room range
- Increase booking sales
- Compare rates @ hotel avail.
- Snap more revenue on the fly
- Live dynamic mapping
- Build a unified database cache
- Lower L2B & enhance productivity
all in 1 solution
a powerful API
high automation
live instant speed
smart & accurate
Extensive compatibility

Extensive compatibility
Our solution is trans-vertical, agnostic & works seamlessly with a vast majority of actors.
This includes Giata, Vervotech, Gimmonix, bed-bank, OTA, Airbnb, GDS, B2B source or for channel & OTA on-boarding automation.




Live dynamic price optimization
Get lowest room by type & specs or search
To instantly filter best rate by type across suppliers availabilities.
For price optimization by room type at search level.
Going live dynamic avoids the need to maintain a room database.
You compare hotels for a room type & right spot where the margin is.
Your room database is "dynamic" deduplicated availabilities updated "live".
Easily add automated filters to suite your business model.

The need for speed
You need to map & standardize your rooms, with a minimal processing time.

Your mapping done live
You need to map & standardize your rooms, with a minimal processing time.
For a TA, the cost of an additional 1 second lag for 1000 rooms (average number of rooms we see) is acceptable.
The productivity ratio is by far in favor of having rooms sorted out.
Our B2B standard & API is 1000 rooms mapped per sec.
For B2C, OTA, you need to go faster. We have solutions for it.

Difference between dynamic & static

Use dynamic mapping to compare rates.
Use static mapping to create a cache.
We do both.

Pros & cons building a room inventory cache
The problem is the room lifespan across the travel chain.
Hoteliers update the room description to pass info directly to user. While moving across sources, the room name is also altered.
Duplicates & room code errors show up as updating the cache becomes tricky.
You can map the room codes with hotel ID & have high personalization, but discrepancies will quickly grow versus availability call room name changes.
Synchronizing a room cache with a dynamic mapping is the best solution. The cache is updated live with each user's search.
How it works
all in 1 standardization tool
Vacation rentals are in high demand. We commonly see 50% of listings being vacation rentals.
Easily implement a type, category, amenities, view, beds... auto-complete with normalized data.
Natural Language Processing

into sortable data
Our in house technology chunks a text into sections, scans terms, sorts out topics.
Text Mining: It can be an hotel, rental or room name, a more complete text description.
A text size of a page can be passed.
(mapping time may vary)
Natural Language Understanding

group similar
Rebuilding the room with cleansed data. Grouping similar rooms together.
Categorization: Matching is grouping the rooms based on normalized data using a defined number of topics.
Our solution groups similar rooms together at multiple levels (customizable).
Natural Language Generation

Rewriting a cleansed, standardized description.
Highlighting: NLG is the counterpart of context analysis: its goal is to transform data into text.
Mimic Booking, Expedia on your website or set your own style.