Sponsored Feature: FLYR
Alex Mans, Founder and CEO of FLYR Labs
FLYR’s Revenue Operating System helps maximise passenger revenues
Next-generation revenue management and commercial intelligence solutions for today’s airlines
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Airlines operate in one of the most complex and dynamic environments. In the current climate, border closures, changing entry requirements, and lastminute passenger bookings and cancellations all take a toll on pricing strategies, with carriers unable to rely upon traditional methods to forecast buying patterns. These are just some of the challenges airlines face while seeking every opportunity to maximize revenue and keep costs under control. Understanding how different decisions may impact an outcome is crucial to meeting any business objective. Even before the pandemic, adaptability was key for airline strategy, acting
Airlines 2022 – 01
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as the core driver of how FLYR Labs’ Revenue Operating System® was designed. Our aim has always been to help transportation leaders unlock total revenue optimization through ultra-accurate forecasts and a responsive, real-time pricing capability. The Revenue Operating System® Instead of trying to forecast future events based on recent history alone—which is dependent on year-on-year consistency— FLYR is hyper-focused on context. This makes FLYR the first revenue management provider to dynamically optimize total passenger revenue under even the most complex market conditions.
FLYR’s Revenue Operating System enables airlines to maximize passenger revenues leveraging flight, ancillary, and fare family values. It does this by applying deep learning to manage revenue-optimal pricing decisions and by providing an easy-to-use interface with revenue management performance analytics and user inputs integrated in one place. By identifying similarities across markets, origins, destinations, flight durations, departure schedules, and competitive pressure, FLYR’s deep learning algorithms identify trends before they are visible to even the best human analysts, even in data-sparse subsets of the airline network. With the right insights readily available and continuously
airlines.iata.org
28/02/2022 14:54