Enterprise Data Science & Predictive AI
For every hotel: in the city or on the islands, boutique or group. We bring your PMS, your online booking system and your accounts into one picture, so you can see the coming weeks and know in time when to act.
“By understanding booking patterns, we've increased our occupancy rates significantly.”
Ask the expenses agent:
Why are we behind budget?
GOP is €69,789 below budget.
€59,092 is revenue that did not come in and €10,696 is costs above budget. The biggest overrun: OTA commissions, +€14,547.
Checked: every number comes from the analyses
What got more expensive per room night sold?
Three costs explain most of it:
| OTA commissions | +20.7% | ~€23,600 |
|---|---|---|
| Electricity | +8.9% | ~€7,600 |
| Laundry | +9.4% | ~€4,000 |
Checked: every number comes from the analyses
Where should we start?
With OTA commissions: ~€23,600 over the period, more than the other two together.
Then ask the laundry for a new quote before the season.
Checked: every number comes from the analyses
Enterprise data science (Plaisio, TITAN, ELPEN), 20+ years of hotel management and financial advisers from an international firm, in one team.
Tools and systems we work with:Power BIPythonSQLDAXOracle DatabaseSAP
Three scenes you have probably lived through.
You see it when it arrives. Booking pace was showing it early, but in the middle of the season nobody had time to look.
A conference nearby filled three nights and the rate stayed the same. You saw it in the takings, after the nights had passed.
The OTAs bring plenty of bookings. After commission, discounts and cancellations, you don't know whether they leave you more than direct bookings do.
In all three cases the numbers existed: in the booking system, the channel manager, the accounts. They just were not together, in time.
We take what you already have, the booking system, the channel manager, the accounts and the spreadsheets, and put it in one clean foundation. On top of it we build a model that compares today's booking pace with your previous years and forecasts the coming weeks. When something drifts, it alerts you.
We have already worked with data from Protel, Pylon, WebHotelier and Primal Res. If your system is a different one, we start from the reports it already produces.
The same goes for AI. A general tool has never seen your hotel. With this foundation, it has something real to work with.
The foundation first, then AI. Not the other way round.
Three phases, each at a fixed price. You know it before we start.
Phase 1 · 4 weeks
You see how bookings for the next 8 weeks are going and where they trail last year.
Phase 2
You know which nights can carry a higher rate and when it makes sense to open an offer.
Phase 3
You see what each channel leaves you after commission and where more direct bookings are worth the effort.
Not a hotel? We also work with retail and service companies. Businesses
It answers with confidence, but it has never seen your data.
They tell you what happened. Not what is coming, or when a decision is needed.
They are worth a lot. They are too slow for a change that shows up in the numbers first.
Your own data in one foundation, a forecast for the coming weeks, and an alert when a decision is needed.
Hera Hotel, Athens
What we built
Datanest transformed how we approach our off-season strategy. By understanding booking patterns, we've increased our occupancy rates significantly.
Plaisio Group
For Plaisio Group we built a scoring and ranking system for 28 stores and five staff roles, in daily use. A hotel has less data. It needs it just as right.
Start with whichever suits you. None of them is a platform subscription.
No cost
You answer 15 questions about your hotel and we walk you through the findings in a 15-minute call.
The core
We build it for you, on top of your own systems. A fixed price for each phase, and the first is ready in 4 weeks.
Optional
For a fixed monthly fee, the system runs every day and once a month we look at the numbers together. If we stop, the system stays yours.
Answer them and see where we would start with your hotel. We don't ask for your email.
We don't believe in blind promises. The goal is to see together whether, and where, your hotel has real room to improve.
Answer 15 questions and see right away how data-ready your hotel is.
We show you what the 3 phases would look like in your hotel: forecast, rate, channels.
We walk you through the findings. No commitment.
