A critical objective of Volantio’s machine learning platform is to understand the key drivers of customer flexibility. What motivates a passenger to accept an offer? How can this be done in the most cost efficient manner? Data from Volantio’s Yana platform (Figure 1) shows that a clear, and obvious, relationship exists between compensation amounts and acceptance rates - as compensation increases so too does the rate of acceptance. This dynamic is brought to life every day at airports across the world when airlines are looking for volunteers to give up their seats. The primary lever being pulled is…


The Yana platform dynamically re-accomodates passengers from targeted flights (flights that may be oversold, selling ahead of the booking curve, or subject to IROPs, schedule changes, or downgauge) to alternative flights. Yana sends offers with multiple options via mobile communication channels (e.g. SMS). Customers who accept receive a benefit in the form of a voucher for future travel, upgrades, etc. When faced with the need to move passengers, fast customer responses are critical to success. Volantio has communicated with over 750,000 passengers to date, and based on our analysis we’ve found that customers respond quite quickly (see…


August 21, 2018

Effective Date: August 21, 2018 Introduction Volantio, Inc. (“Volantio”, “us”, “our” or “we”) respects your privacy and is committed to protecting it through our compliance with this privacy policy (“Privacy Policy”). This Privacy Policy applies to information collected when you visit our website located at https://www.volantio.com/ (the “Website”), or purchase and/or use our services (“Services”). By visiting our Website, purchasing, accessing or using our Services, you are agreeing to the terms of this Privacy Policy and the accompanying Terms of Use. Capitalized terms not defined in this Privacy Policy have the meaning ascribed to them in…


Volantio has been leveraging machine learning techniques to better understand the primary drivers of passengers’ willingness to change their travel plans. In our April update, we discussed how monetary compensation is NOT always the primary driver. You can read more on that story here. This month, we highlight how the advance purchase window (defined in days prior to departure) impacts a passenger’s willingness to change their travel plans. The graph above normalizes acceptance rates to the 0-4 day advance purchase window. Key insights learned from our analysis: A clear relationship exists between advance purchase and flexibility. This is fairly…


Charity Crosset, Guest Services Supervisor, Alaska Airines Alaska Airlines is leveraging Volantio’s Yana platform to streamline the process of managing voluntary denied boardings, leading to strong positive feedback from guests and front-line staff. As a first step, Yana is helping Alaska to increase the number of volunteers on at-risk flights, amplifying the channels of communication and reaching 100% of direct bookings. Yana is also enabling dynamic messaging capabilities to flexible passengers, and rules-based targeting of flights. Launched initially in Boise, Idaho, the platform has now been rolled out systemwide. “Our feedback has been great, a higher percentage of guests…