all-in-one mapping A.I. suite

Room type & specs

Rate optimization

Duplicates removal

User experience

market analytic

room type & specifications mapping

Room-Level Intelligence

Accelerate inventory creation and maintenance with dynamic, low-cost updates. Optimize pricing while enhancing the user experience.

multiple tools for your website

4 A.I. power-tools

Mapping - matching - ranging - scoring
A turnkey solution with tools designed to maximize profit and productivity.

metamorphose the user experience

Transform the Experience

Implement personalization, integrate conversational AI, enhance discoverability, and boost retention and conversion.

rate optimization

Rate optimization

Eliminate duplicates, compare supplier rates, and pinpoint the best deals with precise sorting.

rean time mapping

In real-time mapping

Utilize it via API or deploy it directly on your system and cloud.

rean time mapping

Dataset for travel

The response includes a labeled dataset ready for ML and LLMs.

what is room type mapping ?

Hotel room 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.

travel booking online
halal booking
Wamos Group
Easy GDS
The Reward Company
BePro travel
top atlantico
ctw
gps solution

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.
Supported languages for input and translations are EN, PT, ES, FR, IT & DE.

on the fly mapping
On the fly
in real time mapping
Sentiment
in real time mapping
Agnostic
in real time mapping
Usage
in real time mapping
Deploy
in real time mapping
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.
Whether you need a few requests or billions daily, we’ve got you covered.

Sentiment

In order to detect exclusions inside a name, a sentimental parity check is performed.
Negation is evaluated across topics & attributes. Positivity, free and neutrality are also mapped.
Detecting both enhances the relevance of in-context mapping.

"no sauna", "pool not available","lounge access not included" ,"free breakfast", "not a pkg"
The mapper returns a sentimental parameter per attribute being negative, positive, neutral.

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
comprehensive guide
MAPPING RESULT
Room data fields you can pass & it's enriched mapping result.
Click & navigate the json below example.
See instructions to know more.
ROOM TO MAP:
Room call object example for one room with references, a name & a description (can be html).

ENRICHED RESPONSE:
Mapping separation (by topic 3 letters code), group matching, market room range, attributes scoring, attributes classification, redflag, price optimization, multilingual, curation ratio, room code's ID map, translations, dataset for llm & chat-bot training.



See instructions for more details
KNOW BEFORE YOU GO
Room mapping suppliers comparison **
based on online avail. documentations. as of dec. 2024.
As an independent consultant, in addition to offering mapping services, I can assist you to
get the most of your current content & mapping providers. Consulting link
Separation **
extracted from the room's name or description
topics & separation comparison table
Number Type Class View Amenities Marketing * Paxes Beds Gender Smoking Policies Accessibility Shared Board Chain
Giata
Mapping.works
DataBindr
Cupid
Mize
Vervotech
Room-matching
* Marketing: SEO term, hotelier's room name, superlative.
Features & Fintech **
mapping features comparison table
in_house tech Provider dependent cache based on_the fly in_real time duplicates removal grouped rooms custom grouping market range attribute valuation Multiling. input Multiling. output Rewritten description Turnkey dataset hotel_lvl cheapest global_rates optimisation Market insights
Giata
Mapping.works
DataBinder
Cupid
Mize
Vervotech
Room-matching
In house tech:
Developed in house.
In house tech:
Outsourced.
Provider dependency:
Must use the provider's proprietary ID.
100% suppliers & data agnostic. Accepts any source.
Cache based:
Suppliers' listings are pre-mapped. Update delays possible.
On-the-fly:
Mapping done in/out with your room data stream.
In-real-time:
Returns the result under a second.
** Subject to changes at any time. Some providers might elect not to promote features.

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.

OUR FUN FACTORS

0M
maps every day
0.95%
mapping coverage
0%
Topics coverage

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.

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.

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

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.

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).

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 based on volume.

499 €
starter
ALL INCLUDED
  • ALL ATTRIBUTES MAPPED
  • STANDARDIZED SEPARATION
  • TURNKEY DATA-SET
  • TRANSLATED INTO 6 LANGUAGES
  • CUSTOM DESCRIPTION REWRITE
  • SIMILAR ROOMS GROUPED
  • RANGING & SCORING A.I.
  • PRICE OPTIMIZATION
  • MARKET ANALYTIC
HIGH ROI / LOW COST
With exceptionally high volume allowances, our service meets the needs of businesses of any scale.
The ROI from enhanced UX personalization, improved conversion rates, and price optimization is significant.
INVENTORY BUILD
Creating a cache.
Step 1: Index your database based on room code, room-matching group indexes, and mapping separation.
Step 2: Prioritize mapping for best sellers and high-demand destinations first. Then, gradually map others as needed to optimize the build flow.
Step 3: Either perform room-matching on-the-fly or process larger batch mappings at scheduled intervals (e.g., every 24 hours).
INVENTORY UPDATE
Low cost best practice.
Step 1: When receiving availability responses, compare room names "as is" by room code, between your cache and the incoming data.
Step 2: If a difference is detected or a new room code appears, map/remap only those changes to efficiently update your inventory.
Step 3: Update your inventory. Use on-the-fly or send batches to be mapped at scheduled intervals.

On average, 1% of room names are changed daily by hoteliers, meaning you only need to remap 1% of rooms per 24h .
INVENTORY VIRTUALIZATION
Without a cache.
Maintaining a room-level cache can be complex and resource-intensive. You can opt not to maintain a database cache but still benefit full mapping, high personalization & price optimization.

The cache paradox.
Sometimes, maintaining a large room inventory but only using a fraction of it makes no sense, especially for B2B. You are better just mapping/remapping your avail. calls. even if you remap multiples per day.

Benefit.
The hotel's rooms range is updated & virtualized for the user in real-time, all the time. Price optimization is done on-the-fly.
MONTHLY MAPPING VOL.
Rooms total
Cost
< 100K
free
up to 500K
499 €
up to 2M
699 €
up to 5M
899 €
up to 10M
999 €
up to 20M
1199 €
up to 50M
1399 €
up to 100M
1699 €
up to 200M
1999 €
up to 500M
2499 €
up to 1B
2999 €
unlimited
please call
CONVERSION TABLE
  • Scenario: Mapping suppliers' API availability checks (hotel level).

    suppliers
    avail. checks
    mappings
    cost
    2
    30k
    4.5M
    799 €
    3
    60k
    13M
    1099 €
    4
    120k
    36M
    1299 €
    5
    150k
    75M
    1499 €
    6
    500k
    300M
    2299 €
    8
    1M
    600M
    2599 €
    12
    1.5M
    1B
    2999 €

    A supplier returns on average 100 rooms per hotel.
    It ranges from 5 to 2000. Sometimes with 80% duplicates.
FLAT FEE
  • A minimum fee per month is applied based on corporation type.
    When only mapping new/changed ones, the number of maps per month is reduces to strict minimum. 5M is more than enough to cover 12 sources on updates per month.

    Startup - small OTA
    499 €
    Mid size OTA, b2b
    899 €
    Large OTA & bed-bank
    1399 €


    Platform: please call
COST SIMULATOR
100% real time
monthly
4 suppl / 120k calls / 36M rooms
899 €
5 suppl / 150k calls / 75M rooms
1199 €
6 suppl / 500k calls / 300M rooms
2199 €
6 suppl / 5M calls / 600M rooms
2599 €
8 suppl / 30M calls / 3B rooms
3399 €
12 suppl / 300M calls / unlimited
4999 €

Static every 24h
monthly
4 suppl / 10M per day / 310M rooms
2199 €
6 suppl / 12M per day / 372M rooms
2299 €
10 suppl / 20M per day / 620M rooms
2499 €
20 suppl / 40M per day / 1.2B rooms
2999 €
40 suppl / 100M per day / 3B rooms
3199 €
50 suppl+ / unlimited
4999 €


Hybrid: best practice
Only map what is necessary.

To build your room inventory cache, use availability calls.
You quickly build an inventory for your best sellers.

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.

travel alliance
portal

hotel ID mapping
room A.I.

room type mapping
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

Olivier Boinet
Hospitality big data A.I. Pioneer
contact me
Address
Travel Alliance
Email
info@room-matching.com
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