Maximize RevPAR with intelligent rate recommendations powered by a multi-factor price elasticity model. Our AI analyzes demand forecasts, competitive positioning, segment mix, and market conditions to find the optimal price for every date.
Our AI calculates a dynamic, context-aware elasticity value for each date by combining five independent factors. This determines how responsive demand is to price changes.
Base elasticity varies by day-of-week and season. Fri-Sat Peak has low elasticity; weekday Off-Peak has high elasticity.
Pricing above comp set increases sensitivity; pricing below decreases it. Rate index drives multiplier.
High demand (events, compression) means lower sensitivity. Low demand means guests are highly price-conscious.
Corporate contracted is least sensitive; OTA leisure is most sensitive. Mix composition affects overall elasticity.
Far-out dates have different elasticity than close-in. Booking window affects price sensitivity.
Price Elasticity of Demand (PED) measures how occupancy responds to rate changes. Lower absolute values mean you can raise rates profitably.
Get optimal rate recommendations for every date based on the full elasticity model. See projected occupancy and revenue impact before you make changes.
Different guest segments have vastly different price sensitivities. Our model accounts for your actual segment mix when calculating optimal rates.
Intelligent rate optimization transforms revenue performance across every market condition.
Capture more revenue during high demand and protect occupancy during low demand.
React to market changes instantly with automated rate recommendations.
Every rate is optimized based on 5 factors, not gut feeling or static rules.
Set rate floors and ceilings. The AI optimizes within your boundaries.
Dynamic pricing works best when combined with forecasting, simulation, and competitive data.
See how RevEVOLVE's dynamic pricing can transform your revenue strategy with AI-powered rate recommendations.
