Case Study: Largest Bus Transportation Providing Company achieves real-time, algorithmic pricing and competitive fares with PROS

Real-time, algorithmic pricing keeps the U.S.’s largest bus transportation provider moving

An iconic U.S. intercity bus carrier, the country’s largest, was hampered by static, mileage-based price lists and manual updates that left revenue on the table. The outdated processes prevented timely responses to competitors’ spontaneous sales, forced pricing teams to focus only on high-traffic routes, and created incentives for customers to choose alternatives.

The carrier deployed PROS’s dynamic pricing science: real-time, algorithmic pricing that predicts willingness-to-pay with machine learning and overlays business rules for competitive pricing, loyalty, promotions, booking and travel timing. The solution returns sub-second prices for millions of items (over 26 million price items in an average 12-hour period), enabling network-wide strategic fares, greater responsiveness, and a more frictionless commerce experience.