Paramita RMS

Predict demand,
beyond price.

Track competitor hotel rates, flight trends, and K-pop/Expo events directly,
and let AI report pricing decisions and reasoning driven by demand forecasts.

In a fast-changing market,
real-time information keeps pouring in — and the revenue

opportunities it holds keep slipping away.

Repetitive searching

Visiting OTA sites to repeatedly check
room rates, competitor data, and sales status.

Hidden information

Added flights, real-time inbound arrivals,
and K-pop/Expo events aren’t easy to find online.

Slow response

When demand shifts fast, slow collection and reporting miss the golden window to sell at the best price.

Bring the right information together,
so no revenue opportunity slips away

Collect & Analyze

Read scattered market signals in one place

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.

Forecast

See demand coming
before bookings arrive

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.

Report

Not just a recommendation —
the reasoning too

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.

Core strengths that go
beyond price recommendations

AI-driven data collection and demand forecasting reshape the paradigm of hotel revenue management.

Automated data collection

No need to visit OTA and competitor sites one by one —
browser scraping collects real-time pricing automatically.

External data integration

Beyond booking data, it integrates flight changes, inbound arrivals,
and regional events — the key triggers of demand.

AI-based demand forecasting

An AI model using features like competitor prices and event schedules
precisely forecasts future room demand.

Real-time price optimization

Via CMS integration, it combines expected demand and market conditions
to adjust revenue-maximizing rates automatically or semi-automatically.

Legacy VS Paramita®RMS

Beyond simple price adjustments, it makes a clear difference in data depth and automation.

Legacy RMSParamita RMS
Data scopeMainly internal bookings + competitor pricesPrices + flights + events + tourism stats
CollectionManual entry or limited integrationAuto crawling + API hybrid
ForecastingSimple rules on historical dataMultivariate AI/ML demand forecasting
Pricing strategyFixed rules, low-frequency updatesReal-time dynamic optimization
Operational efficiencyManual intervention, semi-automaticAuto-pilot support, one-tap approval

AI that knows structure, relations, and context. Meet Paramita — the AI that truly knows your knowledge.