Decision Intelligence for hospitality

One system. One source of truth.

Booking engine, channel manager, GDS, metasearch, revenue management, website and guest data, all in a single CRS. Not seven tools to wire together: one platform that decides how to sell every room — at what price, on which channel.

EHL Hospitality BI Lab · EuroCHRIE Best Paper 2023 · 7 years of research

The problem

Data fragmentation is the real problem.

Today's hotel has more channels to manage, more data to interpret and fewer hours to do it in. The industry's standard answer has been to stack tools: an RMS here, a channel manager there, a booking engine from one vendor, a website from an agency.

The result is fragmentation: each system sits in its own silo, speaks its own language and adds to a picture no one can see whole. Decisions get made on incomplete information, margin is left on the table, and staff spend their time reconciling numbers instead of deciding.

Hotelnet was built to end this fragmentation: one CRS in which every module shares the same data core and gets smarter as you turn more of them on. More modules, more accurate decisions.

The proof

Real returns, net of spend

Expedia Travel Ads · 3 years
€300K €6M
20:1 ROAS
Booking Sponsored Ads · 4 months
€25K €330K
13:1 ROAS

Figures are net of media spend, not cherry-picked ratios: returns sustained over time (3 years on Expedia), recent (4 months on Booking) and across more than one platform. And our most recent paid-acquisition campaigns delivered 11× on confirmed bookings.

Who we are

We're not a software vendor. We're Revenue Science.

Hotelnet was born by applying quantitative analysis to decision-making in hospitality. Pricing, distribution and allocation aren't reporting problems: they're optimization problems — an approach long established in finance, logistics and e-commerce, but still rare in hotels.

That's why we work with international academic institutions and validate every model on real data, not on generic best practice. The interpretable forecasting method behind our revenue management has been recognized by the scientific community and published in a peer-reviewed journal.

What this means for your hotel: decisions you can measure on net revenue, a dashboard anyone can read, and a system that gets smarter with every module you add.

Validation

A method validated by research

Award
EuroCHRIE Best Paper Award
Interpretable ML for Hotel Demand Forecasting
2023
Research partner
EHL Hospitality Business Intelligence Lab
École hôtelière de Lausanne
Partnership
Research partner
Universidade do Algarve
Applied revenue-management research
Peer-reviewed publications
Our thesis

More data doesn't mean more signal.

It means more noise. Hotelnet turns your hotel's fragmented data into a single commercial intelligence: a system that decides, executes and measures — from price to booking, across every channel.