The growth of high-speed rail lines has made rail companies competitive with airlines. But traditional revenue models are still keeping rail companies from speeding past the competition. It’s time for a new model.
railRM replaces traditional distance-based pricing methods with innovative price optimization techniques. Using intelligent algorithms, railRM improves expected revenues by seat, segment, and route, and optimizes inventory capacity in real time according to demand. With such advanced forecasting and analysis tools at your disposal, you can execute a more dynamic, predictive strategy.
railRM eliminates conventional static approaches to capacity and fare management, providing you with dynamic cabin support. This lets you control the capacities of multiple cabins, producing real revenue gains. With fare comparison tools, you can leverage knowledge of your competitors’ rates to present your customers with attractive offers.
To maximize revenue, you need a way to analyze market demand in real time. With railRM, forecast expected future booking activity for every O&D using demand forecasting and price sensitivity analysis. Optimize revenues from market demand and customize your settings to capitalize on price points for specific departures. You can even implement a flagging system with more than 30 exception types for specific route departures.