Case Study: Azul Airlines achieves AI-driven pricing at scale with Fetcherr

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Preview of the Azul Linhas Aereas Case Study

Azul Linhas Aereas scales Generative AI pricing across 70% of its network with Fetcherr

Azul Linhas Aereas lacked a modern pricing platform and was limited by manual processes that hindered scalability and slowed down decision-making. The airline partnered with vendor Fetcherr to implement its Generative AI pricing system, powered by the Large Market Model (LMM).

Fetcherr's solution was rolled out gradually across the airline's network. This deployment reclaimed over 2,000 analyst hours by shifting their focus from operational workload to strategic work. The results included zero filing errors, over 3 million annual AI-driven fare recommendations, and more than 70% of Azul's network being managed by AI pricing, allowing the airline to simulate market outcomes and anticipate competitive changes.


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