Roy Cohen
CEO

Fetcherr utilizes AI-driven algorithms for real-time dynamic pricing and market simulation in the airline industry, enabling precise demand predictions and inventory management. This technology addresses revenue loss by optimizing pricing strategies and automating inventory workflows, ensuring airlines maximize their profitability in volatile markets.
Raised to date
$138.7MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.



Airlines face challenges in accurately predicting demand and managing inventory due to volatile market conditions, leading to revenue loss from suboptimal pricing strategies. Traditional pricing and inventory management systems often lack the real-time responsiveness and predictive capabilities needed to maximize profitability.
Fetcherr offers an AI-powered platform that provides real-time dynamic pricing and market simulation for the airline industry. The Large Market Model (LMM) utilizes advanced optimization algorithms to generate optimal market moves and strategic pricing decisions. The Generative Pricing Engine (GPE) and Generative Inventory Engine (GIE) work in tandem to automate workflows and increase revenue uplift. The platform enables airlines to seamlessly migrate to a cloud-based retailing environment, optimizing pricing strategies and automating inventory workflows to maximize profitability in volatile markets.
Fetcherr primarily targets airlines seeking to optimize revenue, improve demand prediction accuracy, and automate pricing and inventory management processes.