Repetitive searchingVisiting OTA sites to repeatedly check
room rates, competitor data, and sales status.
Paramita RMS
Track competitor hotel rates, flight trends, and K-pop/Expo events directly,
and let AI report pricing decisions and reasoning driven by demand forecasts.

Repetitive searchingVisiting OTA sites to repeatedly check
room rates, competitor data, and sales status.
Hidden informationAdded flights, real-time inbound arrivals,
and K-pop/Expo events aren’t easy to find online.
Slow responseWhen demand shifts fast, slow collection and reporting miss the golden window to sell at the best price.
From competitor OTA rates to Incheon flights, concerts and international events, exchange rates and weather, AI agents collect and structure scattered external signals in real time.
Our in-house forecasting model learns from past performance and real-time external signals to predict upcoming demand — continuously comparing forecast against actuals to raise its own accuracy.
Combining demand forecasts with market conditions, it proposes optimal rates and explains which factors mattered and by how much, with confidence intervals — transparent, explainable recommendations.
AI-driven data collection and demand forecasting reshape the paradigm of hotel revenue management.
Automated data collectionNo need to visit OTA and competitor sites one by one —
browser scraping collects real-time pricing automatically.
External data integrationBeyond booking data, it integrates flight changes, inbound arrivals,
and regional events — the key triggers of demand.
AI-based demand forecastingAn AI model using features like competitor prices and event schedules
precisely forecasts future room demand.
Real-time price optimizationVia CMS integration, it combines expected demand and market conditions
to adjust revenue-maximizing rates automatically or semi-automatically.
Beyond simple price adjustments, it makes a clear difference in data depth and automation.