Aviation industry's dynamic pricing model (Revenue Management System) using Data Science

Understanding traveler demand for specific city pairs and pricing flights are among the main problems airlines solve to survive. To do that, carriers must consider thousands of factors when analyzing data. This practice is called the Revenue Management System. The proposed system will use Data science algorithms to allow for more sophisticated ways to accomplish demand analysis and strike a comparison between the algorithms being used. This system, which will essentially be a website, can be used for analyzing traveler demand for specific city pairs and pricing flights very well in an effective manner.