RM Copilot
Hotel revenue management, augmented by AI. Automates pickup analysis, monitors comp sets, and recommends pricing actions — so revenue managers can focus on strategy, not spreadsheets.
Hotel revenue managers spend four to six hours daily on repetitive tasks — pulling pickup reports, comparing competitor rates across defined comp sets, and manually adjusting prices across properties. Multi-property RM teams struggle to scale without shared visibility, and pricing decisions lag behind demand shifts.
An AI copilot that ingests booking pickup data, continuously monitors competitor pricing, analyses pace against forecast, and recommends specific pricing actions — each surfaced with reasoning and confidence for a revenue manager to approve, adjust, or override. Integrates with the hotel's existing RMS and BI stack.
- Repetitive RM work reduced dramatically per property
- Multi-property teams gained real-time shared visibility
- Pricing decisions accelerated from daily to hourly cycles
- Measurable RevPAR uplift across pilot properties