5th Generation AI RMS

AI Revenue Management That Thinks Like Your Best Revenue Manager And Never Sleeps

Propeter’s 5th-generation Revenue Management System uses six specialized AI agents, XGBoost demand forecasting, and real-time price elasticity modeling to maximize your RevPAR — fully automated, fully auditable, always under your control.
6AI Agents per Pricing Decision
13Stage Intelligent Rate Pipeline
24/7
Autonomous Pricing Intelligence
ZeroPrices Published Without Approval
The Problem

Are You Still Pricing Rooms on Gut Feel and Spreadsheets?

Most independent hotels and hotel groups still rely on manual rate adjustments, rigid rules-based pricing tools, or legacy RMS software built before the AI era.
📉

You drop rates when demand signals were actually trending upward

You miss compression events until it's too late to capitalize

📋

Your revenue manager spends 70% of their time on data entry, not strategy

🏆

Competitors with AI-powered pricing consistently outperform you on OTA rankings

⚖️

Your occupancy climbs but your ADR suffers — or vice versa

💸

Revenue left on the table every single night without intelligent pricing

Hotel revenue management has fundamentally changed. The hoteliers winning today aren't smarter than you — they have smarter systems.

The Solution

Six AI Agents. One Revenue Strategy. Infinite Precision.

Propeter’s Revenue Management System is not a rules engine with an AI label slapped on it. It is a genuine multi-agent AI platform, purpose-built for hospitality revenue optimization.
1

Feature Store Refresh Agent

Refreshes the feature store with the latest demand signals: booking pace, pickup velocity, length-of-stay patterns, channel mix, and historical performance. Every pricing recommendation is grounded in real, current data — not stale snapshots.

Data Layer
2

Competitor Intelligence Agent

Automatically ingests, cleans, and normalizes competitor rates. Identifies rate positioning gaps, flags parity violations, and feeds competitive signals directly into your pricing model. You always know where you stand in the market.

Market Data
3

Demand Forecasting Agent — XGBoost + LSTM

An ensemble of XGBoost gradient boosting and LSTM deep learning models forecast demand at room-type, channel, and date level. Captures sequential booking patterns — how demand builds toward an arrival date — for dramatically more accurate predictions.

ML Core
4

Price Elasticity Analysis Agent

The log-log elasticity model calculates exactly how sensitive guests are to price changes for each room type and date. Rate up $20 and lose 30 bookings? Or rate up $40 and barely move occupancy? The elasticity agent knows the difference — and optimizes accordingly.

Elasticity
5

RevPAR Optimization Agent

Using constrained revenue curve optimization, this agent calculates the precise rate point that maximizes revenue per available room — factoring in demand forecasts, elasticity sensitivity, competitive positioning, and your configured business rules.

Optimizer
6

Strategy Optimization Agent — The Orchestrator

Synthesizes signals from risk-based overbooking analysis, willingness-to-pay (WTP) data, and net profit modeling into a cohesive, actionable pricing strategy. This is where Propeter earns its reputation as a genuine AI Revenue Copilot — not just a price calculator, but a strategic advisor.

Strategy
Overbooking Intelligence

Stop Fearing Overbooking. Start Optimizing It.

Every revenue manager carries the fear of walking a guest. That fear costs you money — in unsold rooms that sit empty because you played it safe.

Propeter’s Risk-Based Overbooking Engine uses historical no-show rates, cancellation probability models, and real-time booking pace to calculate a statistically safe overbooking level for every date. You set your risk threshold. The AI stays within it.

“Hoteliers using risk-optimized overbooking strategies typically recover 1.5–3.0 percentage points of occupancy that would otherwise be lost to no-shows and late cancellations.”

Zero Walk-outs
Risk Threshold Controls
+2% Average Occupancy
Live Risk Dashboard

Overbooking Calculator

Real-time safe overbooking recommendations by date and room type

Friday 23 May
Safe +2 Rooms
 
Cancellation Probability
22%
 
 

No-show rate: 8%

 
 

Walk risk: 0.3%

 
 

Confidence: 94%

Features

Everything Your Revenue Team Needs. Nothing They Don't.

🎯

Room-Type Level Forecasting

Predict demand independently for every room type — suite, standard, deluxe — so your pricing strategy is as granular as your inventory.

Approval-First Workflow

Every AI recommendation sits in your approval queue with full reasoning — signals considered, model confidence, and projected RevPAR impact. You stay in control.

📊

Segment Management & Yield Mapping

Define segments (leisure, corporate, group, OTA, direct) and configure yield strategies per segment. Each channel contributes optimally to your revenue mix.

Real-Time Pricing Dashboard

Live ADR, occupancy, RevPAR, pickup pace, and AI recommendation status in a single unified dashboard. Export to PDF or Excel for ownership reporting.

🔬

Strategy Backtesting

Test a new pricing strategy against historical data before it goes live. Know whether your approach would have improved or hurt performance over the past 90 days.

🏢

Multi-Property Management

Run revenue management across your entire portfolio from one platform. Benchmark properties, identify underperformers, allocate revenue manager attention efficiently.

How It Works

From Raw Data to Optimized Rate — In Three Steps

1

Connect Your Data

Propeter integrates with your PMS, channel manager, and booking engine. Historical reservations, cancellations, no-show patterns, and booking pace data begin flowing immediately.

2

AI Agents Get to Work

Every 24 hours (or on-demand), the six-agent pipeline runs: refreshing your feature store, analyzing competition, forecasting demand, calculating elasticity, and optimizing RevPAR.

3

You Review and Publish

Open your revenue dashboard. Review AI recommendations with full context. One-click approve, adjust, or override. Rates publish to your booking engine and channels instantly.

Who It’s For

Built for Independent Hotels, Groups, and Management Companies

🏨

Independent Hotels (50–500 rooms)

Get enterprise-grade revenue intelligence without a dedicated revenue management team. Propeter is your always-on Revenue Manager.

🏢

Hotel Groups & Collections

Centralize revenue strategy across multiple properties. Set group-wide guardrails with property-level flexibility. Benchmark performance in a unified view.

🌐

Hotel Management Companies

White-label Propeter across your managed portfolio. Each ownership group sees only their properties. You control the strategy parameters for every hotel.

📈

Revenue Management Consultants

Access multiple client properties from a single login. Deliver better outcomes in less time. Let the AI handle the analysis; you focus on strategy.

Comparison

How Propeter Compares to Legacy RMS Tools

FeatureLegacy RMSRules-Based ToolsPropeter AI RMS
Demand Forecasting ModelStatistical averagesLookback rulesXGBoost + LSTM ensemble
Pricing Agents None None 6 Specialized AI agents
Price Elasticity AnalysisManualNot available Automated, per room type
Overbooking OptimizationManual estimateNot available Risk-based AI model
Competitive IntelligenceAdd-on costNot available Built-in, real-time
Multi-propertyEnterprise licenseRarely Native, all plans
Approval WorkflowNot availableNot available Native, required

Your Competitors' AI Is Already Pricing Against You. Is Yours?

The gap between AI-powered and manual revenue management grows every year. Every night without smarter pricing is revenue you can’t recover.

No credit card required. Full platform access. Cancel anytime.