Flair Airlines – Canada’s Most Affordable Airline

Flair Airlines is a Canadian LCC founded in 2005, operating a fleet of 20 Boeing 737 aircraft and serving approximately five million passengers annually. With a lean revenue management team of five analysts — all responsible for maximizing network revenue, load factor, and setting fares — operational efficiency is critical.

Jean-Loup Senski, Director of Revenue Management, oversees all revenue management functions and emphasizes the importance of technology that enhances decision-making while offering control and transparency.

The Challenge: Moving Beyond Rule-Based Automation

CAYZN’s Business Rules Engine brought Flair from a fully manual revenue management process to one capable of responding to market changes around the clock. However, to capture further revenue potential, the airline sought a solution that could:

• Dynamically re-forecast demand across every flight.
• Adjust fares based on multiple real-time factors, including pace, load factor, and competitor pricing.
• Provide clear visibility into algorithmic decisions.

The aim was to complement the flexibility of Business Rules with the intelligence of an AI-driven optimizer.

The Solution: A High-Performing, Transparent AI Engine

CAYZN AI is one of the most used features at Flair Airlines, guiding their analysts to make the right decisions at the right time. CAYZN AI is our transparent, high-performing AI forecasting and optimization engine—designed to make forecasting and pricing decisions transparent, fast, and accurate.

Unlike “black box” RMS tools, CAYZN AI gives analysts full visibility into how and why recommendations are made. Every forecast, optimization, and adjustment can be traced, previewed, and fine-tuned by the analyst.

Transparency is embedded into its design. Its layered structure allows Flair’s team to see the decision-making process at each stage, understand when the algorithm will act, and pinpoint where adjustments may be needed.

"You see each time the process of the algorithm through each of these layers, so you understand exactly all the decisions that are being made."

Strategic Planning and Focus

CAYZN AI’s parameter controls, embedded directly in the RM menu, allow Flair to model different strategies and instantly see projected outcomes:

• Focus on load factor to maximize seat occupancy.
• Focus on average fare to improve yield.
• Combine objectives for balanced revenue performance.

This ability to run scenarios ensures that optimization decisions remain aligned with broader commercial goals.‍

"I love that feature that allows us to see what's happening with the inventory and to say, 'I want to focus on load factor or focus on the average fare.' It is possible, and you quickly see all the changes that are going to be made."

CAYZN AI and Business Rules Working Together

In 2024, Flair implemented CAYZN AI alongside its existing Business Rules, creating a powerful integrated system. This synergistic approach delivers:

• Complementary strengths — Business Rules provide guardrails while the Optimizer identifies revenue opportunities that might otherwise be missed, creating a more robust system than either could provide alone.
• Dynamic parameter optimization — The system automatically fine-tunes settings based on key variables such as booking pace, load factor, and competitive pricing to maintain optimal performance.

"We still kept the business rules on top… It also helps the Wiremind team to understand where they can tweak certain algorithms in the backend, or vice versa tweak certain business rules."

A Transparent, Collaborative Approach

One of the most valued aspects of working Wiremind is the ongoing support. Flair benefits from:

• Weekly support calls — to review performance, address issues, and adapt strategies to market trends.
• Two-way feedback — Wiremind has implemented backend algorithm adjustments in response to changing demand patterns.
• Training resources — including both online materials and one-on-one sessions tailored to Flair’s needs.

"It's not 'here you go, here's the product and you're on your own.' There’s a full support team behind it that listens to our concerns and finds solutions."

Continuous Improvement Through On-Going Re-Forecasting

Optimizer re-forecasts every flight, every night, ensuring the most up-to-date demand projections. This continuous recalibration enables Flair to respond proactively to shifting market conditions, enhancing both short-term tactical decisions and long-term strategy.

CAYZN enabled Flair to achieve 75% productivity gain while delivering another layer of precision in network optimization.

“The time that my team is spending on making these changes, has been reduced by I would say at least 70%. We also see another level in terms of improvement as CAYZN is re-forecasting every single flight, every single night.”

Key Features of CAYZN AI Driving Transparency & Full Analyst Control

• Forecast Results in Demand Matrix: Provides Flair's team with up-to-date price evolution forecasts directly in the RM Module, enabling faster, data-driven decisions.
• Next Run Optimization Insights: Shows Flair analysts exactly when the next optimization will run and what changes to expect like upcoming bucket changes, booking thresholds for triggering optimization etc removing uncertainty and improving planning.
• Stability Curve Visualizations: Helps Flair's revenue managers quickly assess whether to intervene manually or let the system optimize automatically based on booking trends.
• Comprehensive Activity Logs: Tracks every parameter change and optimization action, giving Flair full transparency into how and why decisions were made.
• Easily-adjustable Strategy Options: Allows Flair to instantly shift focus between maximizing load factor, average fare, or a balanced approach — all while maintaining strategic oversight.

With CAYZN Optimizer, Flair Airlines has built on the success of its automated revenue management foundation, adding a powerful predictive layer that combines AI-driven decision-making with human strategic oversight. This approach ensures that automation supports — rather than replaces — the airline’s commercial expertise, positioning Flair to remain agile and competitive in a dynamic marketplace.