
Fetcherr helps airlines increase revenue by applying AI to pricing and market forecasting in real time. Their core product, the Generative Pricing Engine (GPE), uses the Large Market Model (LMM) to simulate market dynamics and forecast demand, enabling dynamic pricing and inventory adjustments across the revenue management pipeline. The platform combines generative modeling, demand forecasting, and real-time market simulation to recommend price and inventory actions for carriers. Fetcherr is offered as an enterprise AI solution for airlines and integrates into airline revenue management and distribution workflows. The company targets global carriers and has been deployed with major airlines to drive measurable revenue uplift and operational improvements.

Fetcherr helps airlines increase revenue by applying AI to pricing and market forecasting in real time. Their core product, the Generative Pricing Engine (GPE), uses the Large Market Model (LMM) to simulate market dynamics and forecast demand, enabling dynamic pricing and inventory adjustments across the revenue management pipeline. The platform combines generative modeling, demand forecasting, and real-time market simulation to recommend price and inventory actions for carriers. Fetcherr is offered as an enterprise AI solution for airlines and integrates into airline revenue management and distribution workflows. The company targets global carriers and has been deployed with major airlines to drive measurable revenue uplift and operational improvements.
Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.
We are looking for an Algorithm Engineer to join our team and help design, develop, and optimize data-driven algorithms for complex decision-making problems. The ideal candidate has strong analytical skills, a deep understanding of algorithmic development, and experience working with large datasets and optimization techniques.
Responsibilities :
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