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.com
Direct 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.
A qualified inventory for new revenues
Personalization at user search level
A live "by room type & specs" automated comparator.
Compare your suppliers rates instantly at hotel avail/recheck level.
Often, the supplier having the cheapest room is shown.
Step up your margin by selecting the cheapest supplier within each room group.
20% average gain by showing cheapest rooms sorted by type & specs
A monitoring robot for booked rate survey until check-in.
Rates can fluctuate until check in.
For cancelable rooms, you can periodically recheck until cancel
policy applies to get the last updated rate.
A mapped, qualified & deduplicated inventory
Get a detailed separation, curated data & description in 12 languages.
Have a improved UX with filters.
Offer an hotel + room level search engine.
To sort NET/BAR margins compared at the destination search level.
When mapping hundred hotels at the same time, you sort GP margin by similar rooms grouped at destination level.
Case study: You have 3 bed-banks (NET) & 1 OTA (BAR), you search for a 2 bedrooms with a view at location.
You sort by GP margin (NET/BAR) your options.
A personalized search engine at location made easy.
Click here to try it live on our playground UX development page.
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.
Features & options
Covering a wide range of scenarios
From languages to advanced matching options.
Use one of our presets or set up your own A.I. profiling.
What is Natural Language Processing
NLP refers to Natural Language Processing & is giving computers the ability to
understand text and spoken words in much the same way human beings can.
We have developed a technology using a new dictionaries hierarchy accessible to everyone with easy data reading and usage.
6 languages IN
Our solution works simultaneously in 6 languages for the input, mixed or not. (EN ES PT FR IT DE)
Hoteliers, locals, often use their mother language in conjunction with English inside room description.
| supplier | lang IN | room name |
|---|---|---|
| A | EN | 2 king suite sea view |
| B | PT & ES | suite 2 camas king vista mar |
| C | EN + FR | suite 2 king beds VUE MER |
12 languages OUT
Descriptions are translated into 6 languages:EN ES PT FR IT DE.
6 more in development: RU IL CN IN AE GR (beta access).
| input | EN + FR | suite 2 king beds VUE MER |
|---|---|---|
| 1 | EN | Suite sea view, 2 king beds |
| 2 | ES | Suite vista mar, 2 camas king |
| 3 | IN |  |
| 4 | CN |  |
Custom description rewrite
Show & rewrite the room as you like it, customize your descriptions.
| # | Rewrite it as you like it |
|---|---|
| 1 | Suite sea view, 2 kings. |
| 2 | Sea view suite, 2 kings. |
| 3 | 2 kings sea view suite. |
Compatible with hotel ID mapping providers
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.
Covering all room's facets
More you map, less unknown.
Matching a large number of topics allows more "in context" analytic for high precision.
We are using 28 topics dictionaries splitted into 4 groups, depending on their importance for matching.
You customize your groups by keeping or removing a topic, this is called granularity aggregation.
| code | name | example |
|---|---|---|
| BDR | room generic | 1 bedroom, 2 bedrooms... |
| TYP | room type | suite, loft, dormitory... |
| CAT | class & category | standard, deluxe, corner... |
| VEW | view, side, sight | sea/pool view, hill side, no view... |
| BED | beds | double or twin, king bed, sofa... |
| BLC | balcony, patio | balcony, terrace... |
| CAP | capacity | single, double, triple... |
| SGL | single use | 1 pax, single use... |
| PAX | pax usage | no child, 2ad+1ch... |
| SHR | anything shared | bathroom, bedroom... |
| code | name | example |
|---|---|---|
| COK | cooking | kitchen... |
| WWW | internet | wifi... |
| CAR | parking | free parking... |
| AMN | in room amenities | safe, minibar... |
| FAC | out room facilities | spa, pool, lounge... |
| SQF | surface | 30 m2/ 300 sqf.... |
| code | name | example |
|---|---|---|
| MKG | marketing & name | stunning, art deco... |
| CHA | Chains | marriott... |
| FLR | floor | top floor, ground floor... |
| ADA | Accessible | roll in... |
| code | name | example |
|---|---|---|
| REF | refundable | no ref, refundable... |
| CAN | cancelable | NC, cancelable... |
| DEP | deposit | required... |
| MBR | membership | members only... |
| PLA | plan & promo | on sale, early birds... |
| BRD | board | AI, half-board... |
| SMK | smoking | no smoking, smoking... |
Similar rooms grouped
Granularity aggregation: It defines the number of topics to use to match similarities.
Our solution returns an index per room, being its group. Customizable.
Case study 1: Match rooms according to type, class & view, stay similarly strict as original.
| room code | room name | group index |
|---|---|---|
| 120211 | superb suite dlx, lounge access,sea view & 2 king beds | SUITE DELUXE SEA VIEW |
| ST.VX2.2KG | Suite superior vista mar, 2 king lounge | SUITE SUPERIOR SEA VIEW |
| 2DBL-STE-SEA | suite premier seavx 2 double. | SUITE PREMIER SEA VIEW |
Using NLU & parent categorization to match more.
Case study 2: Matching room range. We have defined 5 groups (sub, std, sup, high, ultra).
Deluxe, superior & premier are regrouped in a common (SUP) group. Optional & customizable.
| room code | room name | group index |
|---|---|---|
| 143456 | superb suite dlx, lounge access,sea view & 2 king beds | SUITE (SUP) SEA VIEW |
| ST.VX2.2KG | Suite superior vista mar, 2 fullbed lounge | SUITE (SUP) SEA VIEW |
| 2DBL-STE-SEA | premier suite sea vx 2 double bd. | SUITE (SUP) SEA VIEW |
Case study 3: Matching accessibility.
| room code | room name | group index |
|---|---|---|
| 3476654 | superb suite, lounge access,sea view & 2 king beds accessible | SUITE SEA VIEW ACCESSIBLE |
| ST.VX.ADA | Suite vista mar, 2 king + lounge & roll in shower | SUITE SEA VIEW ACCESSIBLE |
| 2DBL-STE-SEA | suite sea vx 2 double bed ADA compliant. | SUITE SEA VIEW ACCESSIBLE |
Case study 4: Matching capacity.
| room code | room name | group index |
|---|---|---|
| 134564 | superb suite, lounge access,sea view for 2 adults | SUITE SEA VIEW (DOUBLE) |
| ST.VX2.KG | Suite vista mar, king | SUITE SEA VIEW (DOUBLE) |
| DBL-STE | double suite sea vx. | SUITE SEA VIEW (DOUBLE) |
NLU matching adapted to hospitality big data:
Using the superior meaning at a more common sens, as used in hospitality, to create a matching element.
According to application, a good mix between strict or NLU matching, per topic, allows smart comparisons.
Categorization & Meanings are customizable for advanced profiling. Available across all topics.
You define your classification with your terminology.
Vacation rental as a room
Vacation rentals are described like rooms and map the same way.
You can compare them with hotel rooms & seperate them from hotels.
We see 50% of listings being vacation rentals on high demand.
Hotel SEO, marketing
The chain, facilities, amenities, location, marketing & superlatives.
You categorize the hotel style, mood & map amenities, facilities.
Turnkey CSV cache
It contains the separation per column, the index groups, parent classification.
Import personalization and advanced filtering directly to your application.
JSON response
There are 2 format options. First one is simplified with one object level containing the data (like a csv).
The second is an advanced response containing the detailed separation, the parent category & more.
In both responses, 2 main objects:
"Mapping" contains the rooms listed as they were sent with their separation.
"Matching" contains the rooms listed inside their matched group & the room codes mapped.
Other domains
Our technology is universal & works in many business domains.
Upload your own data & start mapping it.
Do you need to map camping ? tours or attractions ? Tell us more and we will set it up.
Static (online interface)
When you want to qualify & normalize your inventory or when building a room cache.
Case study: You want to map Expedia & HBG static data to generate a mapped room codes cache.
Upload CSV sources files via the interface, no size limit.
Mapping HBG 3M rooms in details takes 30 minutes.
Envision global market margins
You can compare 100 hotels at the same at location.
You sort out margins per room type & group at a large scale to refine you selection.
Red flag / negation
Polarity is handled across topics.
The API returns a red flag per topic if anything negative shows up. no view...
Anonymous funnel
Our service is source agnostic. You name you supplier with a number or an alias.
According to the fields sent, the API automatically sort, match & group rooms accordingly.
Trust level / fallback
The API returns a level of trust per room.
It tells you if the intel has been able to map 100% of the content, whatever is inside.
A failsafe for applications like repricing.
Mapping %
2 metrics to take into account:
First one is the number of mapped topics.
Being 100% content curated, the room has a "footprint" & a similar normalized description.
We are reaching 80% of mapped rooms being 100% content mapped.
Second one is, within each topic, what is the coverage % & this depends on the topic.
Trust level & leftover
The API returns a level of trust per room.
In the response, rooms being 100% curated are separated (80% of times).
Your best sellers
We offer an additional service focused on your best sellers. To have a 100% curated, normalized descriptions & suppliers' room codes mapped database.
Click & download your mapping cheat sheet PDF
Glossary
Mapping:
Extract the exact terms & separation.
Matching:
Finding common grounds across rooms.
Fast easy integration
For all sizes & infrastructures
Our solution can be integrated in multiple ways
Simply connect to our API.
Direct high speed pipeline.
Use it inside your infrastructure.
Innovation & development
Our in house NLP A.I. is a Natural Language Processing database-less SaaS.
It does not rely on traditional algorithms & is insensitive to the quantity of data to handle.
Any topic dataset can be imported in it & mapped right away.
Down to your needs
We can tailor made you a 4000 rooms per sec handling 100 // calls per sec application.
A dedicated mapping/matching application customized to your needs.
Deployment
We know security, stability & secrecy is important for you and room mapping is at the heart of application.
Our solution is anonymous, autonomous, without dependencies or tiers.
Live dynamic API call demo
Personalized auto-complete UX demo
Using an unified database cache
( hotel + rental + room levels )
Dynamic map zoom synchronized with database cache demo.
click below search box to try it live
Rates by monthly volume.
For name & short description, hotel & vacation rental level & room level mapping.
Subscriptions: API, monthly. Other, Yearly.
For static data mapping, base cost is the same.
- up to 10M
rooms
suppliers: 3
calls/month: 30.000
rooms/call: 150
________________
4.5M rooms total
310 € / month
Static data:
suppliers: 2-3
API
- 10 to 50M
rooms
suppliers: 4
calls/month: 120.000
rooms/call: 300
_______________
36M rooms total
1089 € / month
Static data:
suppliers: 5-8
API
- 50 to 200M
rooms
suppliers: 5
calls/month: 150.000
rooms/call: 500
_______________
75M rooms total
1399 € / month
Static data:
suppliers: 10-30
API - Custom - AWS, cloud
- 200 to 500M
rooms
suppliers: 6
calls/month: 500.000
rooms/call: 600
________________
300M rooms total
1799 € / month
Static data:
API - Custom - AWS, cloud
- 500M to 1B
rooms
suppliers: 6
calls/month: 1M
rooms/call: 1000
________________
600M rooms total
2269 € / month
Your own or custom - in infra - AWS, cloud.
Custom solution: s 500 € (up to 1B rooms) - 1000 rooms per sec per call. 36 // calls
AWS equivalent: c5.9xlarge: 1000€ / month
3000 rooms per sec per call.
Our solution: up to 100k rooms per sec. 1/2 sec per call for 1000 rooms - 70 // calls.
1999 €
Docker container license available.
- 1B to 5B
rooms
suppliers: 8
calls/month: 3M
rooms/call: 1000
______________
3B rooms total
3799 € / month
Your own or custom - in infra - AWS, cloud.
Custom solution: 1500 € (up to 5B rooms) - 1200 rooms per sec per call.
AWS equivalent: Graviton 2 - r6a.metal: 8000€ / month
4000 rooms per sec per call.
Our solution: up to 600k rooms per sec. 1/3 sec per call for 1000 rooms. 200 // calls.
5999 €
Docker container license available.
- 5B to 10B
rooms
suppliers: 10
calls/month: 5M
rooms/call: 1200
______________
7B rooms total
5399 € / month
Your own or custom - in infra - AWS, cloud.
Custom solution: start @ 3000 € (up to 10B rooms) - 1500 rooms per sec per call.
AWS equivalent: Graviton3 - u-6tb1.56xlarge: 20000€ / month
6000 rooms per sec per call.
Our solution: up to 600k rooms per sec. 1/4 sec per call for 1000 rooms - 300 // calls.
11999 €
Docker container license available.
- 10B to 50B
rooms
suppliers: 12
calls/month: 30M
rooms/call: 1500
_______________
25B rooms total
9999 € / month
Your own or custom - in infra - AWS, cloud.
Custom solution: start @ 8000 € (up to 50B rooms) - 1500 rooms per sec per call.
AWS equivalent: Graviton3 - 12tb1.112xlarge: 45000€ / month
6000 rooms per sec per call.
Our solution: up to 1.5M rooms per sec. 1/4 sec per call for 1000 rooms - 500 // calls.
31999 €
Docker container license available.
Consulting servicess
We offer a new alternative mapping SaaS, working with any inventory. A more reactive & simpler way, independent from supplier changes or tiers. A new alternative for more independence.
- NLP, NLU, NLG a la carte.
- Customer & Personalization orientation.
- Mapping algorithms, code.
- Search engine, auto-complete.
- Database cache creation.
- Indexing, labeling, training.
- Evaluation, tips & tricks.
- Inventories aggregation.