Unlock more revenue from every departure.
RevMax turns passenger signals into automations that keep flights full and grow ancillary sales.
Multiple revenue opportunities,One intelligent platform.
Automating overbooking management, ancillary sales, and no-show prediction.
Turn overbooking into choice.
Act early on overbooking risks to avoid involuntary denied boarding.
- At-Risk Capacity Detection
- Voluntary Flexible Incentives
- Seat Reallocation
- System Update
Offer more, at the right moment.
Use passenger context to deliver ancillary offers when they are most likely to convert.
- Extra Baggage
- Seat & Upgrade Offers
- Lounge, Priority & Other Ancillaries
- Contextual, Real-time Offers
Recover revenue, before departure.
Predict no-shows early and act on the opportunity to refill seats before departure.
- No-Show Prediction
- Cancellation Recovery
- Opportunity Scoring
- Recommended Action
Resolve overbooking before the gate.
When a flight is heading toward an oversell, RevMax identifies passengers most likely to flex and surfaces a targeted offer.
Signal
+3 seats above target
Prediction
21 likely flex passengers
Action
Offer airline set incentive
Outcome
Reduce gate escalation
Intelligence that drives better revenue outcomes.
REVENUE IMPACT
+50bps
PASSENGER BOOKINGS
2.5x ATV
PROVEN BY EXPERIENCE
22North solutions are powered by years of inside airline operations.
SECURITY & COMPLIANCE
Built for scale with enterprise grade SaaS infrastructure.
Built for revenue teams and integrated with your systems.
Act without replacing the operational stack.
Airline Systems
Provides the signals that RevMax evaluates
RevMax
Detect. Predict. Evaluate. Act
Commercial Impact
Turning intelligence into measurable impact
Enterprise-ready. Airline-aware.
Frequently Asked Questions About RevMax
Revenue optimisation, overbooking management, and no-show prediction.
Airline overbooking management software uses booking, capacity and passenger show-up information to determine how much inventory an airline can safely sell beyond physical capacity. RevMax adds passenger-level no-show prediction and voluntary resolution to this process, helping airlines balance empty-seat risk against involuntary denied boarding risk.
Airlines can use no-show prediction models to estimate the probability that individual booked passengers will travel. RevMax converts expected show-up signals into departure-level capacity decisions, giving revenue teams a more precise basis for managing overbooking than relying only on historical averages or static booking limits.
Airline inventory optimisation normally focuses on deciding how capacity should be made available against expected demand. Post-booking optimisation extends that decision window after seats have already been sold. RevMax reassesses expected show-up, remaining capacity and passenger flexibility to identify inventory that can potentially be reopened, protected or reallocated.
Airline spoilage occurs when seats depart empty despite having potential commercial value. RevMax uses expected passenger show-up and departure-level capacity signals to identify potential unused inventory before departure, allowing airlines to take targeted actions that support spoilage reduction, higher load factor and better RASK.
When a high-demand flight contains lower-fare passengers with travel flexibility, airlines can create additional capacity by offering selected passengers an incentive to move to another suitable departure. RevMax enables this post-booking revenue optimisation approach, allowing released inventory to become available for higher-value demand while keeping passenger movement voluntary.
What revenue is your airline leaving between booking and departure ?
See how RevMax could fit your commercial workflow across capacity, ancillaries and spoilage.