Accelya

FLX AIViator: Airline AI Intelligence with Real ROI

FLX AIViator is Accelya’s AI layer, turning data into real-time, revenue-driving decisions. It cuts complexity and powers smarter, faster actions across the business. It is built for how airlines really work.

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What is FLX AIViator

FLX AIViator is Accelya’s new AI intelligence layer, built to accelerate decision-making, boost revenue, and reduce complexity across the airline journey. It runs across all FLX ONE and Foundation Platform solutions, embedding real-time intelligence into dynamic pricing, merchandising, cargo planning, support, and much more.

Designed for openness and proven at scale, FLX AIViator gives airlines control — integrating with their data, their vendors, and their strategy.

FLX AIViator integrates with airlines own AI models and third-party tools — no vendor lock-in or forced UI. Airlines retain full control over their ecosystem and innovation path.

Operating at enterprise scale, and powered by Accelya’s propriety models and AWS cloud infrastructure, FLX AIViator supports everything from pricing updates and order servicing to cargo forecasts and customer interactions.

Deploy only the use cases that match your current priorities, FLX AIViator lets airlines build value their way.

Powering Practical Use Cases | AI that delivers results — not theory.

Real-time order intelligence

FLX AIViator transforms the order database into an intelligent decision engine, giving airlines instant, actionable insights across commercial, operational, and service teams. It enhances how users interact with live order data reducing inquiry and resolution time by over 10%, leading to lower support costs, quicker service recovery, and stronger alignment with Offer-Order transformation goals.

Autonomous dynamic pricing

FLX AIViator uses machine learning and real-time analytics to adjust fares based on live demand, competitor pricing, and customer behavior, operating automatically, without manual intervention. This enables airlines to respond instantly to market shifts, stay competitive, and personalize offers at scale. By preventing unnecessary discounting during peak periods, it protects high-value inventory and, based on industry data, airlines could see fare revenues increase by up to 6%.

Intelligent merchandising automation

Powered by generative and multimodal AI, FLX AIViator automates the creation of complex merchandising rules, cutting onboarding time by up to 85%. This enables pricing, e-commerce, and commercial teams to launch personalized offers – such as seat upgrades or bundled Wi-Fi and lounge access – more quickly, helping airlines grow ancillary revenue and improve retail agility.

Cargo capacity forecasting optimization 

FLX AIViator uses AI/ML-based forecasting to increase accuracy from existing 75-80% to over 92% by predicting saleable capacity and overbooking. This enables safer overbooking and reduced spoilage – leading to higher cargo yield.

AI that adapts to you

Our AI-driven approach is built to serve the unique needs of each airline—adapting to existing ecosystems, scaling effortlessly, and unlocking value through modular, use-case-driven deployment. With an architecture that integrates securely and performs at scale, our platform delivers operational intelligence that grows with your business.

Open by Nature – Integrates with your own models and vendor ecosystem

Modular by Design – Deploy the AI use cases that matter most

Operating at enterprise scale – powered by AWS

FAQs for FLX AIViator

FLX AIViator is already live and embedded across mission-critical airline systems. It’s open, modular, and focused entirely on measurable outcomes, not theoretical hype.

It’s an intelligence layer — not a separate product. FLX AIViator powers real-time decision-making across FLX ONE platform and Accelya Foundation.

Yes. Our open architecture means you can use your models or partner tech — no lock-in.

FLX AIViator runs on Accelya’s cloud-native architecture with enterprise-grade security.

FLX AIViator already powers practical use cases. While some are still in early deployment, all have been tested and validated through simulations, internal pilots, or industry data. This includes 85% faster onboarding of merchandising rules, 10% faster resolution of order enquiries, 92% accuracy in cargo capacity forecasting, 10% lower support costs assisting complex financial questions, and up to 6% increase in fare revenue through autonomous dynamic pricing.

Let’s shape your airline’s AI journey.

Our experts can walk you through use cases, integrations, and ROI models that fit your needs.