Case: RMS — Dynamic Pricing
Context
Section titled “Context”Room rates were set manually based on intuition and last year’s data. The hotel missed high-demand windows and underpriced during shoulder periods.
Objective
Section titled “Objective”Implement automated rate rules that adjust prices based on occupancy, booking pace, competitor rates, and demand signals — without a full RMS vendor commitment.
Results
Section titled “Results”- RevPAR increased by 23% year-over-year
- Occupancy in shoulder season improved by 11 percentage points
- Manual rate management time reduced from 3 hours/day to 20 minutes
Full case available in Russian — RMS — динамические цены