Enhancing Theme Park Experience for Customers through Data Modeling

Executive Summary

A prominent leader in the entertainment industry faced challenges in managing a high volume of visitors and providing a personalized experience for their customers at their theme parks. The queue length for the park rides kept increasing during peak season, resulting in a significant reduction in customer satisfaction. To tackle these issues, Factspan collaborated closely with the client to develop a data-driven solution.

By employing a bidirectional machine learning model and integrating data from multiple sources, across operations and customer data platforms, the team successfully devised an all-encompassing solution to optimize park visits, reduce wait times, and enrich customer experience. The team enhanced the existing system to provide customers with real-time ride wait-time information and efficient navigation support. It resulted in a significant increase in customer contentment, a surge in revenue generated from customer spending, and a marked improvement in operational efficacy.

Project Highlights

  • Designed ETL pipelines and machine learning algorithms to optimize performance and efficiency 
  • Delivered substantial results, including a notable 20% reduction in wait times and 15% increase in customer satisfaction
  • Implemented solutions to boost revenue generated from customer spending, thus driving overall business growth

 

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