Revenue management is old news for airlines and hotels — Skift Research has traced decades of its evolution in aviation alone. Ground transportation is a different story. Intercity bus operators have relied mostly on static or step-based pricing, changing fares by fixed rules like days-to-departure rather than real demand. That's starting to change, even though bus travel differs from flying in ways that matter: schedules are frequently multi-stop rather than point-to-point, bookings often happen the day of departure rather than months out, and the market is highly price-sensitive.
An industry awakening to granular, per-departure pricing
In 2024, Busbud, a global ground travel booking platform, acquired Ratality, a revenue management optimization provider for ground travel operators. Together they bring demand forecasting, dynamic pricing, fleet management, and driver management under one roof — replacing the one-size-fits-all pricing strategies that have long defined the sector.
“There is an awakening in the bus industry, and granular control over route pricing is replacing the one-size-fits-all approach. In the past, there was one strategy for all departures, but there's a need to treat each departure differently.”
Forecasting for fluctuating, last-minute demand
Bus bookings skew heavily last-minute, with demand shifting right up until departure — making an accurate forecast hard to build by hand. Historically, operators have leaned on intuition and on-the-ground knowledge, an approach that's nearly impossible to apply consistently at scale.
“Bus operators using intuition and on-the-ground knowledge to try and estimate at scale face a very challenging task for a single person to do. With the right tools, business leaders can start leaning into that data to create much more competitive pricing.”
Once operators have a reliable demand forecast, they can manage prices proactively regardless of how far out a departure sits. Left unmanaged, operators tend to focus attention on departures within the next two or three weeks — by the time they turn to high-demand trips further out, half or more of those seats may already be sold at low, undifferentiated rates. Pairing revenue management with demand forecasting keeps every future departure optimized automatically, every day.
Why AI is essential to segment-level pricing
Every leg of a multi-stop route is its own perishable inventory. Manually forecasting and pricing each one is, in practice, impossible — which is exactly the kind of problem AI is built for, capturing and analyzing thousands of route segments in real time, spotting high-demand periods and unusual spikes, and turning that analysis into automated pricing actions.
“It's important to target outliers. If you're looking at thousands of departures per day, you need a system to show you the most important ones. Bus operators don't want to spend hours making a dollar or two more per departure — they want to spend their time where it matters most.”
Consumers are noticing the shift, too. Passengers already comfortable booking flights and hotels through online travel agents are extending that habit to buses — booking earlier to lock in better rates, with price-sensitive travelers gravitating toward off-peak departures. For operators, that means fewer empty seats, eased peak-time congestion, and a better view of demand well before the day of travel.