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.
Funding
$138.7M raised to dateRaised 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.
Founders
Product
Problem
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.
Solution
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.
Target Audience
Fetcherr primarily targets airlines seeking to optimize revenue, improve demand prediction accuracy, and automate pricing and inventory management processes.
Features
- Large Market Model (LMM) for market prediction and decision-making
- Generative Pricing Engine (GPE) for AI-driven, real-time dynamic pricing
- Generative Inventory Engine (GIE) for automated inventory management
- 24/7 pricing optimization to identify and capitalize on hidden revenue opportunities
- Real-time demand predictions using AI to anticipate market changes
- "Glass Box" approach providing clear explanations for AI decisions
- Seamless integration with existing airline systems and PSS
- Gradual scaling and A/B testing for fine-tuning operations