Hotel Room mapping A.I. suite

Rate optimization

Data enrichment

Maximum coverage

UX personalization

AI agent dataset

room type & specifications mapping

Dynamic inventory

Accelerate inventory creation and maintenance with dynamic updates at search level. Optimize pricing while enhancing the user experience.

metamorphose the user experience

High personalization

Transform the Experience, integrate conversational AI, enhance discoverability, and boost retention and conversion.

rate optimization

Profit optimization

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

rean time mapping

Data enrichment

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

what is room mapping ?

Optimize booking profitability and operational efficiency with real-time AI insights. Continuously assess live market trends, competitor strategies, and pricing opportunities to adapt dynamically and drive revenue growth. Apply, pre, during & post, booking profit intelligence optimization.

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.

Room 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 finTech power-tools

A comprehensive set of features for filtering and sorting rooms for your application.
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...
Drive sales with high conversion.

Price optimization

2 - MATCHING
Rooms are grouped by type & specs (customizable). Duplicates are removed.
Compare rates @ avail search.

Market segment

3 - RANGING
Rooms are grouped by range & market position. Moderate->high-end.
Fast compSet filtering.

attribute valuation

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

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

Leverage room intelligence

Apply cutting-edge AI-driven personalization to transform the user experience.
Optimize revenue @ pre, during, and post search phases.

mapped rooms cache

pre-booking search phase

Simplify inventory management by automatically organizing room data from multiple suppliers into a unified format.

Maintain your mapped rooms inventory, with real-time updates triggered exclusively for new or modified rooms.

personalized search

during booking search phase

Enhance discovery & enable intuitive queries like "Greek islands private pool" or "Miami Beach family ocean view."

Boost retention, divide L2B 20 folds with AI-curated travel searches. Integrate conversational AI.

profit optimization

during & post-booking search phase

Optimize profitability in real time during your hotel searches by dynamically mapping room rates across suppliers.

Survey your booked rates across time & always be aware of any change.

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.

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 Applications 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

Live mapping/Search engine demo

An universal NL mapper/search engine at your finger tips !
For onboarding applications, hotelier room name normalization, channel data injection.
Call me to know more on how to use it as an unique persanalization search engine.
Mapped topics: Bedroom, room type, category, class, view, bed, amenities, floor, accesibility, capacity, paxes, shared facilities, marketing & seo terms, chain & brand, policies, board.
Type a room name in the below input box and see it mapped in real-time.
room name
    real-time mapping API response
    To add your own classification to the onboarding form, simply upload it alongside the existing one.

    Hoteliers only need to enter their room name and description to generate a pre-formatted onboarding data form.

    This dynamic onboarding mapping feature is fully customizable.

    in practice personalization

    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.

    click & 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 range filter

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

    DATA ENRICHED RESPONSE

    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

    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.

    We deploy the AI on your prefered instance.

    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.
    FROM SCRATCH INV. BUILD
    LIMITED TIME OFFER
    Unlimited mapping quantity. 1499 €
    This unique special offer allows you to map all your suppliers, all hotels, all rooms and build you room cache inventory. For large OTA, bed-bank & platforms, should you have 50 suppliers & billions to map, no limit.

    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 startups or low searches volume applications. 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. No cache maintenance required.
    MONTHLY VOLUME
    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 calls search level.

      suppliers
      avail. calls
      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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