Israeli startup Fetcherr has partnered with Brazilian airline Azul Airlines to pilot Fetcherr’s demand prediction and algorithm pricing technology.
Azul Airlines, which claims it’s the largest airline in Brazil by departures and number of cities served, is the first to trial Fetcherr’s platform, which uses artificial intelligence and deep learning technologies to predict demand and automatically provide pricing recommendations.
In February of this year, Fetcherr partnered with ATPCO to incorporate the airfare-filing service’s current and historical fare data into the startup’s algorithms. Fetcherr said its aim with the partnership is to “transition legacy airline infrastructure to a new retailing cloud-based environment.”
Since incorporating Fetcherr’s continuous pricing optimization system into its existing revenue management processes, Azul Airlines says it has already witnessed improved revenue performance and optimized workflows.
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“We are proud to be pioneers of change by being the first airline to pilot truly innovative tech solutions,” says Azul Airlines chief revenue officer Abhi Shah.
“We are excited that Fetcherr’s platform will help us maximize our revenue, optimize our operations and provide a seamless, improved customer experience.”
Founded in 2019, Fetcherr’s initial work is in the aviation space, but the company says it will expand into hospitality, car rentals and cargo.