•Airlines can also use AI to personalize and smooth each individual’s airport experience in other ways. For example, they can analyze customer data to provide booking assistance and appealing loyalty rewards. By interacting with customers at various points in their journey preflight, inflight, and post flight they can deliver actionable offers at exactly the right time. For customers, this can lessen some of the pain points of air travel. Customer data can also be analyzed in the aggregate, allowing airlines and airports to make informed decisions about how to keep their customers happy.
•Some airlines have equipped the cabin crew with a data analytics app that providesdetailed information on the passengers sitting in each seat. In flight and during the boarding process, this info can be used to make seating changes and tailor offers to each person’s tastes.
A technology powered smarter era of flight is bringing changes to airlines and their customers. The commercial aviation industry has faced numerous changes including technological disruption. Even so, many major airlines are embracing AI, machine learning (ML) and the Internet of Things (IoT) as ways to enhance customer experience, trim the budget,and critically remain competitive.
With the number of air travelers expected to double by 2037, it’s incumbent on airlines to shift to a data-powered outlook as soon as possible. How are leading airlines usingtechnology to meet passengers’ needs? And what impact can AI and ML, as well as other data based applications, have on airlines’ internal operations?
