Media & Entertainment

AI-Driven Scheduling Optimization for a Global Sports League

Services: Artificial Intelligence, Scheduling Optimization

Challenge

Curve Health was operating on multiple cloud platforms, struggling with fragmented infrastructure. This created challenges around HIPAA compliance, security, scalability, and migration readiness. They needed to consolidate onto AWS to streamline operations, enhance security, and optimize their cloud environment for better performance.

Client Overview

A globally recognized basketball league with a demanding schedule that spans 1,230 games across 30 teams in a six-month period.

Challenge

The league faced complex scheduling challenges, needing to coordinate games in venues shared with other events, while ensuring player rest, travel feasibility, fan engagement, and competitive balance.

Solution

Developed a sophisticated AI-driven system to manage and optimize the scheduling process:

Advanced Optimization System: Utilized a cloud-based AI system that leverages Python3 for backend operations and ReactJS for frontend interaction, providing a robust and user-friendly scheduling interface.
Powerful Scheduling Algorithms: Integrated Gurobi Solver for efficient and strategic game scheduling, considering multiple factors such as team rest periods, travel logistics, and audience engagement opportunities.
Cloud Deployment: Employed AWS EC2 for reliable and scalable cloud operations, ensuring the system’s responsiveness and uptime during the intensive scheduling period.

Impact

Enhanced Scheduling Efficiency: Significantly improved the scheduling accuracy, ensuring optimal distribution of games considering logistical and competitive factors.
Improved Team and Player Satisfaction: Addressed rest and travel requirements more effectively, enhancing overall team performance and player well-being.
Boosted Fan Engagement: Scheduled games in a way that maximized weekend visibility and featured high-stakes matchups during peak viewing times.