Customer Success Story:

Redefining Revenue Management with AI Forecasting

Like most amusement parks, Parques Reunidos faced unpredictable demand from weather, last-minute bookings, and reactive pricing.

To address this, they needed a solution that balanced accuracy, adaptability, and organizational alignment.

Together, we built a forecasting model that delivered highly accurate short-term forecasts and long-term predictions with just 2.6% annual deviation from actuals.

Read more about the collaboration below.

The Challenge

Like most amusement parks, Parques Reunidos faced:

  • Unpredictable demand due to weather fluctuations and last-minute bookings

  • Reactive pricing strategies, relying heavily on promotions and discounts

  • Operational inefficiencies, with staff and resource planning often misaligned with actual visitor numbers

  • Difficulty in explaining performance fluctuations across the company when weather played a big role

To move forward, they needed a solution that could combine accuracy, adaptability, and organizational alignment.

The Solution

Parques Reunidos partnered with Frivind-Choppycast, a Norwegian technology company specializing in AI-driven demand forecasting and revenue management.

Together, we developed a cutting-edge forecasting model that integrates:

  • AI weather algorithms, tailored to account for unique weather phenomena in different regions

  • Cross-park learning, where insights from one type of park (e.g., water parks) improve forecasting for others

  • Macro data inputs, such as inflation and GDP, to strengthen long-term forecasts

  • Ensemble forecasting techniques, simulating thousands of scenarios to create robust predictions

The result: highly accurate short-term forecasts (14 days out) and long-term forecasts that achieved 2.6% deviation from actuals across the year.

About Parques Reunidos

Parques Reunidos is one of the world’s largest leisure park operators, with attractions across Europe, and Australia. Its diverse portfolio includes theme parks, zoos, aquariums, water parks, and indoor entertainment centers, as well as nine tourist lodges.

This diversity has been a source of strength, but also of complexity.

With short booking curves, weather-driven volatility, and different customer segments across geographies, managing revenue and pricing effectively was a major challenge.

The Impact

The new forecasting and revenue management model has transformed how Parques Reunidos operates:

Revenue Growth & Pricing Optimization

  • Strategic, data-driven pricing replaces reactive discounting

  • Opportunistic pricing actions based on weather and demand elasticity

  • Smarter promotions that avoid unnecessary margin erosion

Operational Efficiency & Sustainability

  • Improved staff planning a week in advance

  • Reduced food waste and inventory costs through accurate demand prediction

  • Optimized use of resources across parks

Organizational Transformation

  • Forecasts are now part of board-level reporting, providing a single source of truth

  • Cross-functional teams (commercial, finance, operations) use the same data for alignment

  • Conversations shifted from subjective to objective, data-backed discussions

Customer Experience

  • Better demand management protects NPS and guest satisfaction

  • Avoiding over-discounting safeguards brand perception

  • Pricing aligned with real visitor behavior and weather sensitivity

Recognition

In 2025, this initiative was recognized with the European Pricing Excellence Award for Strategic Pricing Alignment, honoring Parques Reunidos’ leadership in combining data, AI, and innovative pricing practices to reshape the industry.

Looking Ahead

Parques Reunidos and Frivind-Choppycast continue to refine the model, expanding its impact across sustainability, in-park resource planning, and long-term strategic decision-making. The partnership shows how advanced forecasting can drive not just revenue, but also efficiency, sustainability, and better guest experiences.