What Is Aviator Revenue Management Software and How Does It Help Airlines?
Updated
Aviator is Maxamation's cloud-based revenue management software for airlines, built around auto-optimization. According to Maxamation, it is used by more than 60 airlines and is claimed to boost airline revenue by 4%–20%. It fits airlines that want routine revenue decisions automated while analysts concentrate on high-priority or underperforming flights.
What Aviator actually does
Aviator is the core product in Maxamation's lineup, alongside Aviator Insights, a business intelligence tool for revenue management. The software is designed to manage flights up to the system range and combines several inputs and methods:
- Competitive fare data — market fares feed into the optimization rather than being reviewed manually.
- Willingness-to-pay modelling — estimates what passengers in each market will pay.
- Price-demand optimization — balances price against expected demand to set inventory and fare decisions.
- Automated optimization — executes routine actions without an analyst triggering each one.
The practical effect is a shift in analyst workload: the system handles repetitive optimization, and people spend their time on flights that need judgment — high-value routes or ones performing below expectations.
How it helps airlines in day-to-day work
Less manual routine, more focus
Automation is the central mechanism. Instead of an analyst opening each flight and applying the same logic, the system runs routine optimization and surfaces exceptions. That matters most for carriers with large schedules where manual review cannot keep pace.
Built for distributed teams
Aviator is 100% cloud-based, so users work from any internet-connected device. Maxamation notes that users can open multiple browser tabs and view, manage, and optimize flights across several screens at once — useful for analysts monitoring many routes in parallel.
Scales to large networks
Maxamation states the platform is designed for high-speed, large-volume data and reliably scales to support airlines carrying over 25 million passengers annually. Smaller regional carriers appear in the customer list as well, including Solomon Airlines, Pacific Coastal Airlines, Cayman Airways, and REX Regional Express Airlines, so the product is positioned across a range of airline sizes.
Usability as a design goal
Maxamation describes Aviator as designed for usability so teams can adopt its features quickly. This is a vendor claim rather than an independently verified measure, but it signals the intended user is a working revenue management team, not a specialist IT group.
Who it is for, and what to check before deciding
Aviator is aimed at airline revenue management teams — commercial and RM functions responsible for fare and inventory decisions. It is a reasonable fit if your team is spending significant time on routine optimization, if your analysts work across locations, or if your passenger volume is outgrowing spreadsheet- or manual-driven processes.
Before committing, verify these points directly with Maxamation, since the public page does not cover them:
| Question | Why it matters |
|---|---|
| How is the 4%–20% revenue uplift measured, and on what baseline? | The range is a vendor claim; ask for methodology and reference cases |
| What data integrations are required (fare data, PSS, etc.)? | Competitive fare data and demand modelling depend on clean inputs |
| What does onboarding and analyst training involve? | Adoption speed affects when you see returns |
| Commercial terms and contract structure | Not published on the site |
The site offers a demo request and a sales contact path; the customer quotes shown — including one about Aviator's "flexibility and power" for a growing airline — come from Maxamation's own marketing page, so treat them as vendor-published testimonials.
The short version
Aviator is revenue management software that automates routine flight optimization using competitive fare data, willingness-to-pay modelling, and price-demand optimization, with a cloud-based interface for distributed teams. It suits airlines that want analysts freed from repetitive work and a platform that scales with passenger volume. The revenue uplift figure and fit for your network are best confirmed through a demo and reference checks rather than the marketing page alone.