Dear N.K,  ExPretio's Appia Revenue Optimization System ExPretio's Appia Revenue Optimization system is an aggregate demand customer choice model that, based on historical booking patterns and the offer available when each booking was made, forecasts the choices customers are likely to make when offered any given set of options. The last few years have seen the development of several new high-speed services around the world. High-speed lines, either operated by public or private firms, are often managed in a similar fashion to airlines: reservations are mandatory, seats are pre-assigned, and products are differentiated according to several criteria (refundability, exchangeability, comfort level, etc.). This has led many operators to apply Revenue Optimization (also referred to as Yield or Revenue Management) techniques, which were originally pioneered by in the airline industry during the 1980s and early 1990s, and continue to be used to this day by an ever growing number of service industries. Recently, a new generation of Revenue Optimization tools, described as "choice-based," "behavioural," or "customer-centric," have been successfully fielded by high-speed railway operators and have shown very promising results. This is the case of ExPretio's Appia Revenue Optimization system for railway operators. Download the whitepaper to find out more >  Read more.