Monetary compensation is NOT always the primary driver of passengers' willingness to change their travel plans
Since Volantio launched its Yana™ platform in 2017, we have been leveraging machine learning to better understand the primary drivers of passengers’ willingness to change their travel plans, and use these insights to help our partners better guide how they approach passenger reaccommodation for incremental revenue, IROPs, and denied boarding purposes.
Machine learning feature influence (normalized to 1)
Key insights learned from our initial analysis:
Key implications for airlines:
Finally, it’s important to note that the above results will differ from airline to airline, and will change over time. However, they provide a useful starting point to think about improved passenger interactions.