• Lack of fan engagement and game assistance.​
• Improve coaches’ decision-making and players’ experience through IoT analysis.​
• Lack of supply chain predictability (tickets, merch, perishables, stadium, parking, etc.)

The Applaudo team partnered with our client to enhance customer and employee experience.

Our team embarked on a comprehensive data-driven strategy aimed at enhancing game performance, fan engagement, and supply chain efficiency. Initially, we meticulously identified and integrated diverse data sources to enable a 360-degree analysis. This involved cleansing and merging data to create accessible summary statistics, facilitating informed decision-making.

Next, we developed advanced predictive models leveraging historical data and machine learning algorithms. These models were instrumental in optimizing player acquisitions, refining game strategies, and forecasting fan behavior and sales outcomes. Real-time analytics and visualizations provided actionable insights not only to coaches but also to stadium concession managers and merchandisers, allowing for dynamic decision-making to maximize profitability and fan satisfaction through hyper-personalized experiences.

In addition to analytics, we delivered a modernized internal system tailored to the needs of the NBA sports team. Alongside this, we provided comprehensive management and advisory services to ensure our client’s sustained success and competitive edge in the dynamic world of professional sports. Our aim was to equip them with the tools and insights necessary to consistently stay ahead of the game.