Revenue & Dynamic Pricing
Intelligent pricing that fills gaps and maximizes revenue. Dynamic rates based on demand, competition, occupancy, and events.
Dynamic Pricing
10 features7-Factor Pricing Algorithm
Automated rate adjustment in real-time based on occupancy, demand, competition, seasonality, day-of-week, length-of-stay, and historical patterns
Cold-Start Pricing
Machine learning bootstrap for new properties with limited data to establish optimal pricing faster
Seasonal Rate Plans
Create and manage seasonal pricing with date ranges, base rates, and automated transitions between seasons
Occupancy-Based Pricing
Automatically adjust rates based on portfolio-wide occupancy to maximize revenue during peak and shoulder seasons
Gap-Fill Automation
Identify vacant nights and automatically reduce prices to fill gaps and prevent revenue loss from empty properties
Event Intelligence
Automatically detect local events, holidays, and festivals to adjust pricing for increased demand
Competitive Rate Benchmarking
Monitor competitor rates in your market segment and adjust pricing to maintain competitiveness
Yield Management
Optimize pricing strategy to maximize revenue per available unit rather than just occupancy percentage
Minimum and Maximum Price Guardrails
Set floor and ceiling prices to protect profitability while allowing algorithm flexibility within bounds
Third-Party Algorithm Integration
Compatible with other pricing engines if you prefer to use external services alongside Calisto features
Intelligent Pricing
Machine learning analyzes millions of data points (demand patterns, competitor rates, local events, seasonality) to suggest the perfect nightly rate. Data-driven and automatic.
Gap-Fill Automation
Every empty night represents lost revenue. Calisto identifies gaps automatically and lowers prices to fill them, maximizing occupancy without sacrificing profit margins.