Intelligent Revenue Management

Dynamic pricing for hotels, at the speed of the market.

Evaluates demand, comp set and pickup every day.

With Pxsol's RMS, your hotel makes pricing decisions based on real data, not on gut feeling. Centralize your comp set, understand pickup in real time and let an AI agent propose rates every morning, always within the boundaries you define.

Natively integrated with your Pxsol ecosystem (PMS, Booking Engine, POS, Channel Manager), so the right rate reaches every channel at the same time.

+1800 hotels adding more revenue ★★★★★ 4.8 / 5
pms.pxsol.com / rms live
PX
Your hotel
80 rooms
★ Enterprise
RMSAgent IA
agent · May 15–17
Demand detected · pickup +25% vs historical, comp set up 8%
4 min ago
Suggestion · Standard High confidence
ARS 96.000 ARS 108.000 +12.5%
Projected demand 25% above historical. Your rate would still be 4% below the set average. Estimated revenue upside: +ARS 384k.
Applied to 3 dates · synced to Booking and Expedia
The problem

A spreadsheet is not a pricing strategy.

Updating rates by hand takes hours, depends on who's on shift and always arrives late. While you check the competition, you've already lost the booking.

Without an RMS
  • Rates updated once a week
  • Competition checked "when there's time"
  • Events and holidays adjusted late
  • Pickup analyzed in Excel once a month
With Pxsol RMS
  • Rates reviewed every day
  • Comp set monitored in real time
  • Automatic rules for key dates
  • Automatic pickup and forecasting
Happy guests at Pxsol hotels
Chains and independent hotelsalready choose Pxsol
Features

Everything you need to optimize your revenue

01
Competitive intelligence

Comp set in real time

Know exactly what price your competitors are at on every date, without opening Booking or an extra tab.

See demo
02
Dynamic calendar

Prices by date, always up to date

Monthly view color-coded by demand level. Adjustments propagate to every channel in real time, with no manual work.

See demo
03
Automation

Rules that work while you sleep

Set it once: if occupancy exceeds X%, the rate goes up automatically. You can define rules by date, event or pickup threshold.

See demo
Comp set AnalysisLive
Competitor 1
$128.500
Competitor 2
$117.800
Your hotel
$102.400
Competitor 3
$101.900
Competitor 4
$93.600
AI Suggestion · Long weekend
$102.400 → $114.000  (+11.3%)
Pricing CalendarJune 2025
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June 22 · Long weekend
$148.000 ↑ peak
Active RulesAutomatic
Occupancy > 80% → +15% base rateActive
Holiday + weekend → automatic peak priceActive
Slow pickup 7d before → 10% discountPaused
Competitive intelligence

Comp set in real time

Know exactly what price your competitors are at on every date, without opening Booking.

Dynamic calendar

Prices by date, always up to date

Monthly view color-coded by demand level. Adjustments propagate to every channel.

Automation

Rules that work while you sleep

Set it once: if occupancy exceeds X%, the rate goes up automatically.

What is an RMS?

Know the market better than anyone.

An RMS (Revenue Management System) is a technology platform designed so hotels make data-driven pricing decisions: real demand, comp set, pickup and events.

Its goal is to maximize RevPAR by adjusting rates day by day and channel by channel, without relying on spreadsheets or the gut feeling of whoever is on shift behind the PMS.

Agent IA● Enterprise

A revenue manager
that never sleeps.

It detects the event, evaluates three scenarios and proposes the change with full reasoning. When you trust it, it applies on its own — within the boundaries you set.

Daily dashboard · Real view
Pxsol RMS daily dashboard with AI agent suggestions
78.4% occupancy · ARS 96k ADR · 94% accuracy
This week the agent
12
changes applied
+ARS 340k
estimated revenue
~6 h
hours saved
  • Full reasoningEvery change includes rationale and evidence.
  • Inviolable boundariesMin/max and daily variation — the agent never steps out.
  • Learns from your decisionsIt improves with every approval and rejection.
  • Collective intelligenceIt also trains on patterns from similar hotels.
Active suggestion
ARS 96.000 → ARS 108.000+12.5%
· 15–17 may
Pickup +25% above historical. Comp set up 8% yesterday. Long weekend detected.
Est. impact +ARS 192.000
High confidenceBased on 1,247 evaluations
Activity log · last 8 h
04:23 AM
Raised May 22–24 · ARS 84k → 96k
Applied
03:47 AM
Long weekend detected · May 15–17
Detected
02:15 AM
4 competitors scanned · +8% average
Analyzed
01:58 AM
Adjusted 3 dates in June
+ARS 192k
00:30 AM
Nightly review · No critical alerts
OK
How it reached this decision
📊
+31%
Pickup 24h
above historical
🏨
+9%
Comp set
average rose
📅
24–25 may
Long weekend
confirmed
🎯
94%
Accuracy
1.247 casos
+14.3%
Suggestion
ARS 84k → 96k
Conversational mode● Online
Click a question to try it
Hi! I'm your hotel's RMS Agent. This week I applied 12 rate changes — how can I help?
Frequently asked
1.658
updates / month
94%
suggestion accuracy
+18.7%
average RevPAR vs without RMS
24/7
continuous monitoring
what-if scenarios

Test before touching real rates.

Isolate a period, apply a percentage or absolute change and see what would have happened to your revenue, occupancy and ADR. If you like it, apply it in one click.

  • Isolated sandbox mode — no real risk
  • Backtest on real historical data
  • Apply the scenario in one click if it convinces you
Simulation running
scenario · raise weekends 10% in June
Current baseline
Monthly revenueARS 7.910k
Occupancy71.4%
ADRARS 94.8k
If I apply the scenario
Monthly revenueARS 8.322k
Occupancy69.6%
ADRARS 102k
+ARS 412k · +5.2%
live pickup

Bookings while they still matter.

Pickup over 24h and 72h with every affected range and the revenue that came in. If a date drops, you see it before the problem becomes an alert.

pickup · last 72 h
31
new bookings ARS 2.88M in revenue · 84 nights
8 – 10 may
11 bookings
15 – 17 may
9 bookings
22 – 24 may
7 bookings
29 – 31 may
4 bookings
72 halert window
31bookings detected
ARS 2.8Mrevenue in transit
Benefits for your hotel

The power of data, centralized.

Pxsol RMS consolidates all your scattered data in one place. From your pickup to your comp set, a single view to understand the market and stay ahead of it.

Automatic centralization

Integrates PMS, Booking Engine, POS and comp set data.

More direct bookings

Competitive pricing on every direct channel, fewer commissions.

Coordinated distribution

One rate, every channel — no desync.

Zero overselling risk

Reversible boundaries and rules before the model applies.

Explainable decisions

Every change stores its reasoning and can be audited.

ROI optimization

Pricing aimed at the right channel at the right time.

Frequently asked

What people ask before trying it.

Can't find something? Talk to sales and we'll reply within 30 minutes during business hours.

An RMS (Revenue Management System) is a platform that combines historical demand, live pickup, comp set and market events to recommend a rate per day and per channel. It is crucial because it lets you make data-driven pricing decisions instead of relying on intuition, maximizing your RevPAR without overloading the team.
It connects natively with your PMS and Booking Engine, reads pickup in real time, scans your comp set every day, and an AI agent proposes rate changes with full reasoning. You define the boundaries — the system only applies within them.
Hotels that adopt Pxsol RMS report on average +12% RevPAR and 6 hours saved per week for the revenue team. Every decision is audited, and changes are always reversible.
Yes. Pxsol RMS complies with GDPR and local personal data protection regulations. Guest data is never shared with third parties without explicit consent.
Pickup, ADR, RevPAR, occupancy by room type, historical and current comp set rates, local events calendar, and cancelled bookings. Everything is centralized in a single view by day and by channel.
Guided onboarding in under 14 days. A revenue consultant helps you define your initial boundaries, set up the comp set and train the model with your historical data. Then, human support + 24/7 chat.
results

What the model does while you do something else.

Illustrative example of an 80-room hotel on an Enterprise plan (last 30 days).

Model evaluations1.227since you activated the model · 94% accuracy
Rates updated / month1.658no human intervention · 6h saved per week
RevPAR vs last year+19.4%over comp set hotels (boutique 4★ hotel)

Más de 1800 hoteles
sumando huéspedes felices

free trial · 14 days

You're about to generate more and better bookings for your hotel.

Activate Pxsol RMS and let the market, pickup and comp set work for you. No card. No commitment.