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
