ESEN Log in
Pricing Book a demo
RMS FOR HOSTELS AND GUESTHOUSES

Prices that move, even while you are at the front desk

Your hostel or guesthouse runs on a small team and you are juggling a thousand things. Sentinel AI watches demand, your city events and your booking rhythm, and adjusts the price of every bed and room within the limits you set. You run the desk; the price takes care of itself.

Revenue management at hostel scale

A hostel or guesthouse runs on a minimal team: the same person does check-in, tends the bar and answers messages. In that reality, the price gets set once per season and sits still, while bed demand moves by weekend, by festival and by backpacker season. The cost is invisible: strong nights sell cheap and soft nights stay empty.

Sentinel AI is the RMS that lives inside R2 OS, the hotel operating system, so your beds, private rooms and reservations are already connected, with nothing to integrate. It forecasts demand from your own booking curve, suggests the price for each date with its why, and never steps outside the limits you defined. You decide how much control to hand over: from approving every change to letting it run on its own.

Built for the one who does it all

Shared dorms, private rooms and backpacker seasons, with prices that work while you operate.

MIXED INVENTORY

Dorm beds and privates, priced apart

The bed in a shared dorm and the private room are different products with different demand. Sentinel AI forecasts each one from its own booking curve and suggests its price separately, instead of treating all your inventory as if it were the same thing.

  • Forecast per category, from your own history
  • The price gap between dorm and private stays under your rules
LAST MINUTE

Last-minute pickup, without the panic

Hostel guests book only days ahead: this weekend, the demand shows up this week. Sentinel AI measures pickup, the net bookings a date gains or loses each day, and proposes the adjustment in hours, not whenever someone finds a spare moment to review rates.

  • New bookings minus cancellations, date by date
  • Reacts in the short window, where your demand lives
SEASONS AND EVENTS

The festival raises your rate on time

A festival, a concert or a long weekend sells out beds weeks in advance, and backpacker season does not wait for you to update your rate sheet. The demand calendar flags those dates ahead of time so the price rises early, not after you filled up cheap.

  • Your region events, visible before they reach your bookings
  • Also compares price, occupancy and reviews of similar properties on Booking and Airbnb
SIMPLE DECISION

One suggestion a day, with its why

Every day a price suggestion arrives explained in plain language: which signal justifies it and what that date is expected to do. You read it in a minute between check-ins and approve with one click. You do not need to know revenue management to decide well.

  • Every suggestion starts pending your approval
  • The why in plain view, no jargon
YOUR LIMITS

Your limits rule, every single night

You define your lowest and highest price by season and by category, and no recommendation jumps over them. You do not give away beds in high season or scare off bookings with off-market rates, even when the system runs on its own.

  • Floor and ceiling by season and by category
  • Dynamic pricing does not mean clearance pricing
AUTOPILOT

Pricing works while you run the desk

Once the explanations have earned your trust, turn on auto-apply within your limits: the price adjusts on its own while you handle check-ins, ring up the bar and hand out keys. Every move is logged, so you can review later what changed and why.

  • Auto-apply only within the limits you set
  • Every change is logged and auditable
THE SENTINEL DIFFERENCE

Other systems assume you have an analyst watching screens. Sentinel AI works for the one who does it all: prices that move on their own within your limits, with the why in plain view, while you run the front desk.

Dynamic pricing vs. the usual rate sheet

Why a living price beats the fixed seasonal rate and the spreadsheet.

SENTINEL AIFixed seasonal priceSpreadsheet
Reacts to this week demand
Tells shared beds apart from private rooms
Raises rates before the festival, not after
Respects your minimum and maximum price
Explains the why behind every price
Works without weekly hours of upkeep

Frequently asked questions

Does it work if I only have a few beds or rooms?
Yes, that is exactly who it is for. With small inventory every pricing decision weighs more, not less: one night sold cheap in high season shows up directly in your cash. The system runs the numbers at the scale of your operation, without asking for a revenue team.
Does it understand dorm beds or only rooms?
It understands both. The dorm bed and the private room are forecast and priced as separate products, each with its own limits, because their demand does not behave the same way.
Will it change my prices without telling me?
Only if you turn that on. Every suggestion starts pending your approval and, if you enable auto-apply, it only moves within the floor and ceiling you defined. Everything is logged so you can review it whenever you want.
Do I need to know revenue management?
No. Every suggestion arrives explained in plain language, with the signal that justifies it, and you simply read the why and decide. If one day you add a revenue person, the rules engine gives them full control.
My guests book last minute, is the forecast any use?
Yes, because it works precisely in that short window: it detects the weekend rhythm today and proposes the adjustment in hours. And it is honest: if there is not enough history to forecast a date, it says so instead of inventing.
What happens when a big group lands?
A group eats beds all at once and changes the picture for those dates. Since the forecast recalculates with every booking, the remaining beds get recommended at a price that matches the new scarcity, always within your limits.

PUT YOUR REVENUE TO WORK

Book a demo and see how Sentinel AI suggests the price of every night from your own data.