Subject Matter Expert

16 ott - Verona
Fetcherr

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. While Fetcherr initially focused on the airline industry, the company is now expanding into additional verticals, bringing its dynamic AI-driven optimization capabilities to new industries such as travel, mobility, retail, e-commerce, and beyond.
Having successfully transformed airline pricing, Fetcherr is now expanding into the ferry industry, bringing AI-driven revenue optimization to leading ferry operators.




Responsibilities
Industry Leadership
- Serve as Fetcherr's primary authority on ferry revenue management, pricing, demand forecasting, and commercial operations, advising Product, Engineering, Data Science, Solutions, and Commercial teams.
- Provide expertise on ferry pricing dynamics, including:
- Route, sailing, and one-way vs. return pricing
- Accommodation category management (cabins, reclining seats, deck, pet cabins)
- Vehicle pricing across cars, motorhomes, motorcycles, and trailers
- Ro-ro freight pricing — accompanied vs. unaccompanied units, contracted vs. spot rates
- Promotions, early booking, last-minute and walk-up pricing
- Group bookings, tour operator allotments, and coach traffic
- Resident fares, public service obligation (PSO) and territorial continuity routes, and other regulated fare regimes
- Guide revenue management strategies balancing passenger load, vehicle de

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