Dynamic pricing · RMS
We analyse demand and propose
the optimal price for your rooms
Optimal room prices, proposed from internal and external data.
AI dynamic pricing reads nearby market rates and demand data to compute the optimal price for every room, automatically, every day.
Patented dynamic-pricing technology
Still adjusting prices by hand, every day?
Prices set by feel leave revenue behind
You notice the peak too late
By the time you see bookings surge, the rooms are already gone at the low price.
In the off-season you are guessing
Cut too deep and there is no margin; hold the price and the room sits empty.
More room types, no chance
Five room types across 90 days is 450 prices. Nobody sets that by hand every day.
Dynamic pricing
Set the basic rules — then leave it to the AI
There is nothing to watch daily. You set the range once.
- 01
You set the range
Set a floor, a base and a ceiling per room type. Prices never leave that range.
- 02
The AI prices each date
It reads booking pace, remaining rooms, weekdays and holidays to price up to 90 days, day by day.
- 03
You check, then apply
See why each price came out that way, hit apply, and it flows to every channel through the CMS.
Feature ① Price range
Start with the basic price setup
Pick a room type, enter a floor, a base and a ceiling, and setup is done. Nothing ever sells below the floor or above the ceiling. This is the only setting you touch yourself.
- Floor — it will never sell cheaper than this
- Base — the everyday price the calculation starts from
- Ceiling — however hard demand pushes, it stops here
Floor
100,000KRW
Base
200,000KRW
Ceiling
400,000KRW
Drag the handle — recommendations never leave this range.
Feature ② Daily recommendations
A different price for every date
Up to 90 days out, demand is computed date by date. Deeper colour means higher demand that day.
- Low demand
- Normal
- High
- Press “Apply prices”.
* Illustrative screen. Real recommendations depend on your own property data.
Demand signals
We read the signals that move your bookings
Not just your own data. Nearby events, flights and competitor rates all feed the price, keeping it competitive.
Events & concerts
Reads nearby concert and event schedules to spot high-demand dates in advance.
Aug 15 concert · demand ↑
Flight demand
Uses inbound flight data to gauge travel demand into the region.
More arrivals · inbound ↑
Nearby competitor rates
Tracks rate changes at the properties you mark as competitors, in real time.
Stay A −5% · Hotel B +3%
Your own bookings
Computes your own demand from recent booking pace and remaining rooms.
Net bookings up, 7 days
VACATIO
AI pricing engine
* Illustrative screen. Real recommendations depend on your own property data.
The reasoning
Every step behind the price is shown
It never stops at “the AI decided”. You see where it started, what moved it and by how much.
Fri, 14 Aug 2026
- Base price200,000Starts from the base price saved on the room type.
- Internal demand+42%284,000Computed from recent net bookings and how fast they are accelerating.
- AI recommendation336,000Lifted further by weekday, holiday and remaining inventory.
- Your rulesRounding340,000Applies your 10,000-won rounding rule.
- Final340,000Within the 100,000–400,000 range you set.
Why this price
Feature ③ Your own rules
Layer on how your property works
Toggling a rule changes the calculation. Leave the ones you do not need switched off.
Last-minute
Decide how far to drop when check-in is close and rooms remain.
From 3 days out · up to −15%
Occupancy
As remaining rooms run low, the price climbs with it.
Above 80% · +10%
Weekday
Weight the days that always sell, like Friday and Saturday.
Fri · Sat +20%
Rounding
Keeps awkward numbers like 317,400 off your channels.
10,000-won steps · trailing zero
Fixed dates
Dates that must hold a set price. Fixed prices win over the AI recommendation.
Applied first on fixed dates
Patented technology
We hold a patent for dynamic pricing technology
Our method for computing accommodation rates automatically is patented.
Patented dynamic-pricing technology
Korean Intellectual Property OfficeResults
Season after season, revenue and occupancy improve steadily
Average improvement measured across properties running dynamic pricing.
Average revenue
Across properties running dynamic pricing
15%
Average occupancy
Steady gains across seasons
12%
RevPAR
Revenue per available room
15%
W Hotel, a VACATIO client
Booking rate
Net margin
* Results vary with property type and how rates were managed before.
FAQ
FAQ
No. Prices never leave the floor and ceiling you set, and a recommendation only reaches your channels once you review and apply it. You can switch to auto-apply if you prefer.
Fix them with a manual price. Fixed dates take priority over the AI recommendation, and the floor and ceiling are still checked.
If you have booking history we migrate it and use it right away. With little history it starts from your base price, weekdays and holidays, and sharpens as you operate.
No. One apply pushes it through the channel manager to every connected channel, and commission differences are handled by the channel manager’s markup settings.
Up to 90 days out, day by day. You can also look at shorter windows such as 7 or 30 days.
From the VACATIO Column
Optimise your revenue
with dynamic pricing
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