hotel & room type
mapping A.I. suite
Boost conversion, ROI & productivity
Metamorphose the user experience
Mapping - matching - ranging - scoring
4 smart A.I. tools for your website
Market & hotel levels room Fin-tech
Personalization
Covering all room's facets.
Type, category, view, beds, policies, amenities...
High personalization for your website in 5 languages.
Group similar
Grouped suppliers' rooms by type & specs.
Duplication removal & rates compared.
Room range
Grouped by range & essentials.
(moderate, luxe, high-end, family...).
Another vision for labeling at wide scale.
Attribute score
Sorted by attributes valuation. More offered, higher the score.
From corner, category, view specs... to rooftop, amenities...
Custom profiling
customizable to your own
Mapping & matching are customizable. (presets avail.)
On the fly
With your data stream.
No cache used.
send your rooms to the API at any time or upload an inventory.
In real-time
A stand alone high quality mapping & intels for your website.
No sources, hotels or rooms limit. No data collection. 100% anonymous.
Curated content
> 99.9% mapping coverage, multilingual.
All topics covered for a precise in context mapping.
Clean website
Have a friendly website.
B2B lingo is rewritten to readable B2C.
Price optimization
Compare rates at supplier avail. search level.
Right spot best value for the money. Is it the right time to book ?
ML & chat-bot
Turnkey dataset for your ML & LLM
Synchronize your booking flow with a conversational chat.
Customer oriented
- Implementing personalization.
- Add conversational A.I..
- Increasing discoverability.
- Improve retention, conversion.
- Enhancing overall SEO.
- Providing a better UX.
- Strengthening brand loyalty.
- Fast forward selection.
Rate optimization
- Get the best value for the money.
- Compare margin per room range.
- Increase booking sales.
- Compare rates @ room avail.
- Snap more revenue on the fly.
- Apply a dynamic markup model.
- For high rewards & profitability.
- Lower L2B & enhance productivity.
Market Fin-tech
- RM @ selected attributes.
- Room range rate analytic.
- Map & value your logs.
- ABS oriented ready mapping.
- Room attr granular comp-set.
- Json & csv for every needs.
- Ease to use sorting tools.
- Hotelier advanced insights.
mapping - matching - ranging - scoring
4 market analytic tools
4 Fin-tech angles of view
4 data-set classifications
Mapping
Lists mapped rooms with the complete separation. UX personalization.
Includes the translations, rewritten descriptions, grouping, ranging & scoring in 5 languages,.
You can send calls with an unlimited number of suppliers & hotels (up to 30k rooms per call).
ML & apps: UX, DB mount, supervised ML, attr. granular RM, LLM.
Customizable: like description rewrite style. (presets to choose from)
Matching
Lists matched groups where similar rooms fall. Price optimization.
Grouping similar rooms together allows to sort suppliers's rates per room type & specs.(see demos)
Matching hierarchies an hotel or market at attributes granular level.
Depending on the application, you define the grouping deepness. You add or remove topics. (type, beds, paxes, amenities...)
ML & apps: UX, price optim. & prediction, DB indexing, search engine.
Customizable: Matching uses "profiling" parameters. (presets to choose from)
Ranging
Lists rooms by quality & range. A new unique market range level angle of view.
The intel defines a range group for the room, with 3 classifications in mind: moderate/std, luxe & high-end.
Ranging hierarchies an hotel or market at a higher sentimental level, for a unique vision & analytic.
ML & apps: UX, room range level analytic, market trends, OTA insights, LLM personalization.
Customizable: The range definition & scaling, range terms. (presets to choose from)
Scoring
Lists rooms grouped by attributes weight. Best value for the money sorted.
What room type ? A view ? a balcony ? an amenity ? they each add weight (value) to the room. Higher the weight, higher the room intrinsic value. All topics taken into account.
Sort rooms from low end to high end with a slider. More offered by the room, higher the score.
ML & apps: UX, Market offers scaling. ML precision, Deep hotelier compared, LLM precision.
Customizable: The weight for each attribute. The ruling. (presets to choose from)
Looking for hotel ID mapping ?
https://hotel-matching.com
Show the hotel's complete room range, deduplicated from suppliers and properly hierarchized.
Add personalization to your website. Offer a search engine working at hotel,
rental & room level.
Add personalization to your website. Offer a search engine working at hotel, rental & room level.
Mapping a room name & description
html supported
| field | description |
|---|---|
| iso2 | hotels iso2 country |
| hid | hotel code, alias or reference |
| suppl | supplier's name or alias |
| list | rooms' list (mix suppliers & hotels) |
| rcode1 | supplier's room code n°1 or reference |
| rcode2 | supplier's room code n°2 or wildcard |
| name | hotel room name, text, fields, html |
| description | room description, text, fields, html |
Click below JSON dataset + to navigate the response.
| field | description |
|---|---|
| hid | sent hotel code, alias or reference |
| suppl | sent supplier's name or alias |
| rcode1 | supplier's room code n°1 or reference |
| rcode2 | supplier's room code n°2 or wildcard |
| amount | optional |
| name | sent hotel room name, text, fields, html |
| description | sent room description, text, fields, html |
| group | Data oriented group name |
| range | generated room range |
| curated | % of data the A.I. has mapped |
| leftover | list of unknown terms |
| dataset | exploded data-set per attribute |
| score | attributes valuation total score |
| 3 letters code | english mapping shortcuts per topic |
| lang__ | Rewritten descriptions |
In practice
at destination
Mapping 30 hotels radius, 1 supplier, 400 rooms total.
Room descriptions with mixed languages (English, Portuguese & Spanish).
Generic grouping, hotelier RM. Can be any topics mix.
Maximum precision for DB indexing & search engine.
Matching object
Hierarchies a market or hotel by rooms' similarities.
Rooms are grouped using a predefined profiling.
Ordered by similar group -> supplier -> hotel code -> room codes.
Click below JSON + to navigate the response's tree.
Mapping object
Mapped rooms, sorted by supplier & hotel code.
As shown in "in details" for one room.
Ordered by supplier -> hotel code -> rooms codes.
Click below JSON + to navigate the response's tree.
Ranging object
Hierarchies a market or hotel at room range level.
Rooms are grouped inside a similar market range.
Ordered by range -> group -> supplier -> hotel code -> room codes.
Click below JSON + to navigate the response's tree.
Scoring object
Hierarchies a market or hotel at attributes weight.
Rooms are grouped & sorted by quality & advantage.
Ordered by score -> group -> supplier -> hotel code -> room codes.
Click below JSON + to navigate the response's tree.
Integration
API
For an easy access.
Cloud
High speed cluster.
License
Deploy within your system.
Fast API
Our in house A.I. is a Natural Language ProcessingSaaS.
Database-less, it processes calls in real-time.
High volume
We tailor made you a high frequency mapper.
Should you need to map all your availability calls.
Source code licence
Security, stability & secrecy is important.
Get a lifetime license and deploy the A.I. within your infrastructure. No limits, no restrictions.
Usage
Static cache
Map your listings, suppliers, logs and booking history.
Upload your listings or stream them live. Unlimited quantity.
Hybrid deferred
You want to update new ones when appearing.
Send them and update your inventory at any time.
Real-time call
You want to map every availability calls to suppliers in real-time.
Send the complete rooms list & receive the result off the cuff.
Applications
ML dataset & LLM
Today, uploading data to openAI chatGpt has never been so easy. 90% of cost and time in ML projects is dataset cleansing, normalization & labeling.
I provide custom turnkey datasets at room & hotel level. Get an unified & normalized dataset across hotel, rental & room.
Contact me to know more..
A smart NextGen UX
User friendly UX, filters, personalization,hotelier revenue management,OTA insights, dynamic markup, price optimization & prediction, inventory mount, elastic, search engine, with/without ML fintech, datasets, LLM, openAI, ChatGpt, chatbot...
A wide range of scenarios
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 |
6 languages OUT
Separation available in 6 languages on demand.
Group & range available in english only.
Descriptions are translated into 6 languages.
| mixed | 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 | PT | Suíte vista mar, 2 camas king |
| 3 | FR | Suite vue mer, 2 lits king |
| 3 | IT | Suite vista mare, 2 letti king |
| 3 | DE | Suite Meerblick, 2 Kingsize-Betten |
Customization
Separation, group, range, score & lang are customizable.
Group similar as you want. Show & rewrite the room as you like it.
| # | Rewrite it as needed |
|---|---|
| 1 | Suite sea view, 2 kings. |
| 2 | Sea view suite, 2 kings. |
| 3 | Sea view, 2 king beds suite. |
Covering all room's facets
Mapping a large number of attributes allows for "in context" analytic with higher precision.
We are using 20 topics dictionaries splitted into 4 groups, depending on their importance for matching.
Customize your groups by keeping or removing an attribute.
| 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 |
|---|---|---|
| AMN | in room amenities | safe, minibar... |
| FAC | out room facilities | spa, pool, lounge... |
| code | name | example |
|---|---|---|
| MKG | marketing & SEO | stunning, art deco... |
| CHA | Chains & brands | 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 attributes to use to match similarities.
Our solution returns an index per room, being its group. Customizable.
Example: Matching accessibility.
| room code | room name | group |
|---|---|---|
| 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 |
Example: Matching capacity.
| room code | room name | group |
|---|---|---|
| 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) |
Metamorphose the user experience.
Boost conversion, ROI & productivity.
Mapping - matching - ranging - scoring
4 unique tools - 4 complementary angles of view
All usage
Static / 24H / hybrid / deferred / batch / on-the-fly / real-time.
Included features
Cost & usage
Additional infrastructure cost may apply depending on your volume.
Simulations
Drasticaly reduce cost & usage
Cost is the same for static or real-time calls.
Once your inventory is mounted, you only send new ones for mapping or to be rechecked.
Good practice: Using a higher remapping frequency for bestsellers & hot markets.
You flex your mapping needs (static/real-time) & reduces the volume 100 folds.
Check instructions to know more on usages.
Lifetime license
Get the source code: 50.000 Euros.
Yearly fees for updates: 6000 Euros (optional).
All below features included. Customize your solution.
No limits, no restrictions, no tiers, no data leaks.
Deploy your room level A.I. within your system.
portal
room A.I.
hotel A.I.
A geek since 10 mastering code languages, heuristic, NLP, ML, prediction, systems & algorithms.
My solution is agnostic, fast & reliable.
Customer & personalization oriented .
Designed for on the fly & speed.
Optimized for volume @ low cost.
I make data work for you
Working with me:
Immediate support. You have the highest expertise on the market and a flow of innovations in your hands.
Olivier Boinet
Hospitality big data A.I. Pioneer
Glossary
Natural Language Processing
NLP:
Splitting a text
into sortable data
Our in house technology chunks a text into sections, scans terms, sorts out attributes.
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
NLU:
Matching together
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 attributes.
Our solution groups similar rooms together at multiple levels (customizable).
Natural Language Generation
NLG:
Rewriting a description
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.
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