Hotel room type mapping - Room level intelligence

what is room type mapping ?

Hotel room type mapping is the process of standardizing and organizing different room types across buyers & sellers (channels, suppliers, OTA, GDS, direct booking, distribution platforms), to ensure consistency. Each hotel often has its own naming conventions and categories for room types (e.g., "Deluxe queen, "Ocean view suite ada"), and different booking platforms might label similar rooms differently (e.g., "dlx qn, "Ocean suite accessible").

The goal of room type mapping is to match these varying names and discrepancies to a standard list, making it easier for platform users, guests, hoteliers, and booking systems to understand what each room offers.

Properly done, room type mapping helps you:

1 - Avoid booking errors: By ensuring each room type matches across systems, this prevents situations where the room is incorrectly listed & described.
2 - Enhance the UX experience: Users see clear, standardized room descriptions, which reduces confusion and sets accurate expectations.
3 - Optimize the buying strategy: Consistent room type names allows to remove duplicates across suppliers & compare rates by the room's attributes.

Room type mapping is essential for streamlining qualified content, optimizing profitability, and improving the customer experience.

4 A.I. power-tools

The response offers a comprehensive set of features for filtering and sorting rooms as needed.
These tools can be used individually or together to enhance the user experience, optimize pricing, and apply detailed market analysis.

Personalization

1 - SEARCH & UX
Covering all room's facets. Type, category, view, beds, amenities...
High retention & conversion.

Price optimization

2 - MATCHING
Rooms are grouped by type & specs (customizable). Duplicates are removed.
Sort & compare top deals.

Market insights

3 - RANGING
Rooms are grouped by range & market position. Moderate->high-end.
At destination analytic.

Attributes valuation

4 - SCORING
Grouped by attributes value. What type ? view ? amenities ? each add weight.
Best value for the money.

How it works

Your mapping response is tailored specifically to your needs, offering full customization.

On the fly

In real-time

Agnostic

Usage

Deploy

Dataset

On the fly

Data mapping is done with your data exactly 'as-is' whether it's your own or from suppliers.
There are no limits on sources, hotels, or rooms.
No data collection or caching is involved; simply send room data to the API at any time or upload an inventory.

Customize grouping criteria and depth based on your application needs. You can add or remove categories, such as type, bed configurations, occupancy, amenities, and more.

In real-time

Our in-house AI, powered by Natural Language Processing, is a database-free SaaS that processes requests instantly.

The response includes separations, translations, rewritten descriptions, grouping, ranking, and scoring.
You can send requests for an unlimited number of suppliers and hotels, handling up to 30,000 rooms per call.

Whether you need a few requests or billions daily, we’ve got you covered.

Agnostic

Mapping a wide range of attributes enables highly precise, context-based analytics.
Hoteliers and local providers often use both their native language and English in room descriptions.

Room-matching is source and data-agnostic, working seamlessly across six languages, whether mixed or not, and returning results in English, Spanish, Portuguese, French, Italian, and German.

Usage

Integrate it into your booking flow whenever and however you need:

Static cache: Map your listings, suppliers, logs, and booking history.
Hybrid deferred: Update new entries as they appear, mapping whenever needed.
Real-time call: Map each availability call to suppliers in real-time.

Deploy

Available via the API or directly within your cloud:

Fast API: Our database-free technology processes calls quickly in real-time.
High volume: We provide a custom high-frequency mapper to handle all your availability calls.
Source code license: For enhanced security, stability, and confidentiality, obtain a license to deploy the AI within your own infrastructure.

Dataset

Today, uploading data to OpenAI's ChatGPT has never been easier, but in such projects, 99% of the cost and time is spent on data cleansing, normalization, and labeling.
Room-matching simplifies this process, providing a ready-to-use dataset with classification, pre-formatted for OpenAI's ChatGPT or other training needs.

Gain a unified and normalized dataset across hotel, rental, and room levels.

Broad Application Range

From high UX personalization and B2B/B2C data normalization to hotel revenue management, OTA platforms, meta-search engines, personalized trip building, dynamic markup and rewards, price optimization and prediction, conversational chatbots, LLMs like ChatGPT, and machine learning applications.

Comprehensive guide to room A.I.

Download this design graph to learn how to integrate and synchronize your booking flow with advanced AI tools, including next-gen UX, conversational chatbots, and fintech automation.

Download PDF - design graph guide

COMPANIES COMPARISON

Based on available online documentations.

Topics separation

	Number	Type	Class	View	Amenities	Marketing	Capacity	Beds	Gender	Smoking	Policies	Accessibility	Shared	Board	Chain
Giata
Mapping.works
DataBindr
Cupid
Mize
Vervotech
Room-matching

Main features

	in house tech	platform dependency	cache based	on-the-fly	in real-time	duplicates removal	grouped rooms	custom grouping	market range	attribute valuation	multilingual input	multilingual output	rewritten description	LLM dataset	cheapest sorting	Rate optim.
Giata
Mapping.works
DataBinder
Cupid
Mize
Vervotech
Room-matching

In house tech:
Developed in house. Partly developed in house. Outsourced / tier dependancy.

Platform dependency:
Linked to the mapping provider proprietary hotel ID. 100% supplier & data agnostic. Accepts any source.

Cache based:
Suppliers' listings are pre-mapped. (refresh rate ?) On-the-fly:
Your rooms data stream is mapped "as-is" when sent.

In-real-time:
Returns the result in a real-time. Returns the result in a resonable time. Needs more time (proxy).

in practice

How does room-matching enhance the user experience & find the best rates?
Click below to access our B2B/B2C UX simulator, showcasing various ways and ideas to improve your website.

Case study: 100 kms radius around Faro, Portugal. 5 suppliers.
723 hotels, 27k rooms instantly mapped, similar grouped & best deals found.

get inspired

fast-forward search

An autocomplete search-box with detailed filters drop-downs to fast-forward selection.

Shortcut & slider

Shortcuts button automating deep filtering for paxes, beds... & most wanted features.

one click rate optimization

Filters the best deals per room type & matching group. Duplicates removed.

Market analytic filter

Market level price optimization in one click. Envision an entire market for profitability.

FAQ

Why choose room-matching ?

Cost is determined by volume and applies equally for all usages (static or real-time calls). Once your inventory is mounted, you only need to send updates for new items or those requiring revalidation.

Best Practice: Increase the frequency of remapping for bestsellers and trending destinations to keep a "fresh" by hotel mapped room inventory.

By adjusting your mapping approach (static vs. real-time), you can significantly reduce the volume of mapped data by as much as 100 times compared to remapping every 24 hours.

The mapping process is quick and efficient, utilizing low-cost infrastructure to deliver fast results.

Customization options include separation, grouping, range, score, rate optimization, and room description rewrites.

We use 16 topic dictionaries, organized into 4 groups based on their relevance for matching.

You can customize the grouping by adding or removing topics as needed. Group similar rooms together and adjust room descriptions to your preferred style.

Choose from pre-set options for quick setup.

Security, stability, and confidentiality are paramount.

Purchase a master license and deploy the AI within your own infrastructure without limits or restrictions.

You manage your own room-level intelligence services.

H24 support. Done in real-time. You send a request, it is processed immediately.

WHAT ARE THE SUPPORTED LANGUAGES ?

Room-matching supports 6 languages simultaneously:
EN, SP, PT, FR, IT, and DE.

Both the input room name you send and the response are processed in these languages.
You’ll receive the translated room name in all six languages.

In progress: AE, IN, CN.

WHAT TOPICS ARE MAPPED ?

code	topic	example
BDR	room number	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	shared	facilities, bathroom
MKG	marketing & SEO	stunning, art deco
CHA	chain & brand	hilton
FLR	floor	top floor, ground floor
ADA	accessible	roll-in
REF	refundable	no ref, refundable
CAN	cancelable	NC, cancelable
DEP	deposit	required or not
MBR	membership	required & type
PLA	plan & promo	on sale, early birds
BRD	board meal	breakfast, AI
SMK	smoking	or not
AMN	in-room amenities	safe, minibar

HOW TO CUSTOMIZE MY SOLUTION ?

You access you profile and set the options.
You can create multiple mapping profiles and users.
Each user can use the corp profile or have its own.

We have presets to choose from.

WHAT IS ON-THE-FLY MAPPING ?

Room-matching processes your calls containing the rooms list. We do not connect to your suppliers.
When you send a hotel rooms list containing your suppliers API availabilities, the mapping is returned under half a second.
You can also send larger inventory lists (up to 30k per call), to quickly map entire inventories (eps room inventory takes 10 mns).

WHAT TECHNOLOGY BEHIND THE SCENE ?

NATURAL LANGUAGE PROCESSING
NLP is splitting an unstructured text into sortable data.
Our in house technology chunks a text into sections, scans terms, sorts out attributes.
It can be an hotel, rental or room name, a more complete text description, an html page or suppliers' API fields.

PRICING

All usages: Static / 24H / hybrid / deferred / batch / on-the-fly / real-time.
Cost is based on volume.

299 €

STARTER

ALL INCLUDED

ALL ATTRIBUTES MAPPED
STANDARDIZED SEPARATION
TURKEY DATA-SET
TRANSLATED INTO 6 LANGUAGES
CUSTOM DESCRIPTION REWRITE
SIMILAR ROOMS GROUPED
RANGING & SCORING A.I.
PRICE OPTIMIZATION
MARKET ANALYTIC

MONTHLY VOLUME

Mapped rooms

Cost

up to 10M

299 € / flat fee

up to 50M

699 €

up to 200M

1799 €

up to 500M

2599 €

up to 1B

4599 €

up to 5B

6599 €

up to 50B

9999 €

API: 500k mappings max per hour.
Additional infrastructure cost may apply depending on your volume.

MASTER LICENSE

Get the source code: 50.000 Euros.
Yearly fees for updates: 6000 Euros (optional).
Customize your solution even further.
No limits, no restrictions, no tiers, no data leaks.

COST SIMULATOR

best practice. static once a week + real time updates

monthly

4 suppl / 10M x 4 + 1M real time

499 €

6 suppl / 12M x 4 + 2M real time

699 €

10 suppl / 20M x 4 + 5M real time

899 €

20 suppl / 40M x 4 + 10M real time

1299 €

50 suppl / 100M x 4 + 50M real time

1599 €

100% real time

monthly

4 suppl / 120k calls / 36M rooms

499 €

5 suppl / 150k calls / 75M rooms

1399 €

6 suppl / 500k calls / 300M rooms

1899 €

6 suppl / 5M calls / 600M rooms

2699 €

8 suppl / 30M calls / 3B rooms

5199 €

12 suppl / 300M calls / 25B rooms

7899 €

static every 24h

monthly

4 suppl / 10M x 31 / 310M rooms

1999 €

6 suppl / 12M x 31 / 372M rooms

2199 €

10 suppl / 20M x 31 / 620M rooms

2799 €

20 suppl / 40M x 31 / 1.2B rooms

3599 €

50 suppl / 100M x 31 / 3B rooms

5199 €

consulting

In addition to offering mapping services, I can assist you in organizing and structuring your inventories, setting up database frameworks, applying fintech solutions, and automating price optimization within your system.
I’ll help you maximize the value of your suppliers' content and tech partners.
Feel free to contact me with any questions.

portal

room A.I.

hotel A.I.

About me:
I’ve been a mass-market DIY products inventor for 30 years, with success stories sold worldwide.
A tech enthusiast since the age of 10, I’ve mastered coding languages, heuristics, NLP, machine learning, prediction, and system algorithms.

I make data work for you

Working with me:
- Immediate Support: Access top-tier expertise and a continuous flow of innovations.
- Factual & Technical Approach: Focused on logic and code review for optimization.
- Customer-Centric: Tailored solutions with a strong emphasis on personalization.
- Design Thinking: Ensuring reliability and performance through thoughtful design.
- Data Stream Optimization: Efficient management of high-volume data at low cost.

Olivier Boinet
Hospitality big data A.I. Pioneer

all-in-one mapping A.I. suite

Room type & specs

Rate optimization

Duplicates removal

User experience

market analytic

Room-Level Intelligence

4 A.I. power-tools

Transform the Experience

Rate optimization

In real-time mapping

Dataset for travel

what is room type mapping ?

4 A.I. power-tools

Personalization

Price optimization

Market insights

Attributes valuation

How it works

On the fly

In real-time

Agnostic

Usage

Deploy

Dataset

Broad Application Range

Comprehensive guide to room A.I.

OUR FUN FACTORS

COMPANIES COMPARISON

Main features

in practice

fast-forward search

Shortcut & slider

one click rate optimization

Market analytic filter

FAQ

Why choose room-matching ?

WHAT ARE THE SUPPORTED LANGUAGES ?

WHAT TOPICS ARE MAPPED ?

HOW TO CUSTOMIZE MY SOLUTION ?

WHAT IS ON-THE-FLY MAPPING ?

WHAT TECHNOLOGY BEHIND THE SCENE ?

PRICING

299 €

ALL INCLUDED

MONTHLY VOLUME

MASTER LICENSE

COST SIMULATOR

consulting

contact me