Intelligent Oversold Management System Solution

· Intelligent overbooking management system is a system based on artificial intelligence and ML technology to intelligently manage and optimize the overbooking strategy of airlines.
The intelligent overbooking management system monitors flight seat sales in real time, predicts possible overbooking risks, and automatically adjusts overbooking strategies to maximize seat utilization and airline revenue, and improve customer overall satisfaction with the company's products or services.

business pain points
-Inaccurate data forecasts and unreasonable overselling decisions
Lack of transparency in oversold processing and poor customer experience
· Difficulty in cross-regional collaboration and management

Business Objectives
-Optimize overbooking decisions: through big data analysis and ML algorithms, the actual number of passengers boarded is predicted based on historical data, passenger behavior patterns, route characteristics and other factors, and the number of overbooked is more accurately determined.
-Balancing the loss of empty seats with the cost of rejection: Minimize the total loss by balancing the additional benefits of overselling with the cost of rejection through the economic overselling model.
· Improve transparency and communication efficiency: in the event of overbooking, timely notify passengers and provide solutions, transparent treatment to reduce passengers' anxiety and improve overall satisfaction.
-Reduce operating costs: reduce manual intervention through accurate forecasting and automated management to reduce cost fluctuations due to underselling or overselling.

Core Functions
-Data collection and processing: The system collects flight sales data, historical oversold data, market demand data, etc., and uses artificial intelligence algorithms for analysis and forecasting.
-Model prediction: based on historical data and ML algorithms, an oversold prediction model is developed.
-Strategy adjustment: The system automatically adjusts the oversold strategy based on the oversold forecast results and real-time sales data.
Monitoring and early warning: the system monitors the sales of flight seats and the risk of overselling in real time. Once abnormal situations are found, early warning will be issued in time so that airlines can take timely measures.