Transform your seat inventory into a high-yield asset. SROP uses ensemble machine learning to predict demand and automate price swings in real-time.
Real-time optimization status
Revenue Uplift
Static pricing is the silent killer of profitability. It's time to move from manual spreadsheets to automated intelligence.
Selling 80% of seats at base price 2 weeks before departure while losing last-minute travelers to competitors.
Spreadsheets ➔ Guesswork ➔ Static APIs ➔ Empty Seats
Ingest ➔ AI Correlate ➔ Dynamic Optimization ➔ Profit
Unaware of competitor surges, local events, or weather shifts affecting travel intent.
Automated demand forecasting using over 200 external signals beyond your own booking data.
Connects instantly to RedBus, AbhiBus, and your own CRS via high-speed webhooks.
Combines 12 different ML models to ensure pricing remains rational even in outlier scenarios.
Update prices across all OTAs and your web portal in under 500ms to capture immediate demand spikes.
Zero-friction implementation into your existing tech stack.
Auto-import schedules from your CRS.
Real-time seat occupancy streaming.
Competitor prices and holiday signals.
Optimal price calculated per seat.
Dynamic guardrails applied.
Prices updated across all channels.
Predicts travel intent based on historical velocity and seasonal patterns.
Monitors 20+ OTA sites every 5 minutes to ensure price positioning.
Adjusts prices as departure time approaches to clear last seats.
Factors in flight delays, local festivals, and severe weather warnings.
Connects current booking curve against 5 years of route history.
A multi-layered neural network that processes 500 million data points daily.
Drag the departure timeline to see how AI pricing adjusts to maximize revenue.
Pricing built to align with your success.
Up to 20 active routes. Ideal for regional specialists.
Up to 100 routes. Full dynamic automation.
Unlimited routes for national fleets & aggregators.