This is like an autopilot for hotel pricing and room inventory. It watches booking patterns, competitor prices, and events in the area, then automatically suggests or updates room rates and restrictions to maximize revenue each day.
Hotels struggle to set the right prices and restrictions for each room, channel, and date across the year. Doing this manually is slow, error‑prone, and often leaves money on the table. Revenue management software continuously analyzes demand, competition, and booking pace to optimize pricing and availability, increasing RevPAR while reducing manual spreadsheet work.
Deep integration into hotel PMS/CRS/channel managers plus historical booking and demand data accumulated per property or chain; switching costs grow as the RMS is tuned to each hotel’s patterns and embedded in revenue workflows.
Hybrid
Time-Series DB
High (Custom Models/Infra)
Complexity and cost of training, updating, and operating demand forecasting and optimization models across many hotels, markets, and seasons while maintaining integration with heterogeneous PMS/CRS/channel systems.
Early Majority
Modern offerings differentiate on quality of demand forecasting, automation level (fully automated vs. decision support), ease of integration with PMS/CRS/channel managers, and usability for non-expert hotel staff; some newer tools are adding LLM-based analytics and explanations to make recommendations more transparent.