Enterprise Data Science & Predictive AI
For any hotel, in the city or on an island. We bring your PMS, bookings and accounts into one picture.
“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
Which entries make up the €4,800?
Two third-party fees with no category, outside the result. Consecutive numbers four months apart: are invoices missing, or is this a double charge?
| Invoice 1374 · March | outside P&L | €2,400 |
|---|---|---|
| Invoice 1375 · July | outside P&L | €2,400 |
Checked: every number comes from the analyses
Occupancy fell. Should I cut staff?
Not because of occupancy: cost per night is only a statistic.
Payroll is €471,014, €2,186 under budget and €3,920 above last year.
Checked: every number comes from the analyses
What did competitors do?
That is not in your data, so I will not guess.
I need the competition report from your pricing system.
Checked: every number comes from the analyses
Enterprise data science (Plaisio, TITAN, ELPEN), 20+ years of hotel management and valuation and investment experience 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. You just saw them together when the season was over.
We bring them into one picture.
And you see what nobody was seeing.
| Expense | Last year | This year |
|---|---|---|
| Electricity | €11.70 | €12.78 |
| Laundry | €5.96 | €6.52 |
| OTA commissions | €16.09 | €19.43 |
| Breakfast | €5.07 | €5.08 |
| Repairs | €2.83 | €2.84 |
+€3.33
per room night sold, at the same occupancy. About €23,600 in five months.
Datanest Demo Hotel. Demo · made-up numbers, rounded.
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.
We set up phase one in 4 weeks. Phases two and three are built within the monthly service.
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.
From a €100 booking, you keep:
Service
You ask in plain words where the money went and get an answer from the hotel’s own figures.
What got more expensive per room night sold?
Not a hotel? We also work with retail and service companies. Businesses
We work with hotels of every size, from boutique hotels to groups. We start from what you already have: your booking system and your spreadsheets.
We set it up and we maintain it. Your team does not need to learn anything technical: it reads the monthly brief and asks what it wants.
You are not renting software. You pay once for the set-up and a fixed amount for the months you are open, for people who work your numbers with you. If we stop, the system and the data stay yours.
Phase one is delivered in 4 weeks. We use AI in our work, openly, to save time.
It answers with confidence, but it has never seen your data.
They tell you what happened, without showing 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, and needs it just as right.
We set the system up on top of your own systems, then work it with you every month. The system and the data stay yours.
No cost
You answer 15 questions about your hotel and we walk you through the findings in a 15-minute call.
One-off, 4 weeks
We connect your booking system, channels and accounts, and deliver the forecast for the next 8 weeks. The price is fixed and you know it before we start.
The core
Every month we send you a brief with what changed and what we suggest, and we go through it with you. We add pricing and channels step by step and keep the system running. You pay for the months the hotel is open.
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.
