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In Walter Isaacson’s seminal book about Leonardo da Vinci, the writer articulates why the Mona Lisa is so alluring. The painting’s artistic beauty is made even more impactful through the careful application of da Vinci’s masterful comprehension of human anatomy. It truly is one of the most remarkable and enduring examples of the combination of art and science.
In Walter Isaacson’s seminal book about Leonardo da Vinci, thewriter articulates why the Mona Lisa is so alluring. The painting’s artistic beauty is made even more impactful through the careful application of da Vinci’s masterful comprehension of human anatomy. It truly is one of the most remarkable and enduring examples of the combination of art and science.
While art buffs and historians alike might scoff at the notion, airline network planning is also a combination of art and science. It requires experience and practice, reminiscent of the skills built up over time by a master artisan. Careful scientific calculation is equally necessary. When these elements come together – great value can be unlocked for airlines – much as da Vinci unlocked the secrets of creating transcendent images through paint on a canvas.
Take Southwest Airlines for example. Like most carriers, before COVID-19 it could use a previous schedule to prepare for the next period. This all changed amidst the global pandemic and the familiar approach was no longer effective as historical schedules became irrelevant. Setting aside multiple forecasting tools, the airline’s network planning team adoptedAmadeus SkyCAST
instead and gained greater accuracy, agility, and speed.
With SkyCAST, we’ve introduced a unique scientific approach combining machine learning (ML) and customer choice modeling. These different ML approaches helped calibrate the parameters associated with the main forecasting process steps: network building, demand estimation, and traffic estimation.
We also implemented a special calibration for SkyCAST to align the forecast engine parameters with current needs by using historical data from May, June, and July 2020, to produce the most accurate forecast possible. This adjustment demonstrated the agility and ability to pivot SkyCAST and predict scenarios that gave Southwest relevant data for the current conditions.
This customized calibration of SkyCAST, combining the art of network planning and the science of advanced ML technology, resulted in a 30% improvement when predicting market share and a 50% improvement when predicting leg traffic at all levels. We were delighted with these results and look forward to further leveraging SkyCAST with Southwest and other airlines as we work to rebuild travel together.
You can learn more about how Southwest is making the most of this marriage between art and science for airline network planning by downloading a copy of our
.
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