We started with a discovery sprint as part of our AI Kickstart Program, identifying fleet optimization as the most impactful starting point.
Key steps included:

• Integrating disparate GPS and fuel tracking data sources
• Building a machine learning model to predict high-traffic windows and route delays
• Developing a user-friendly dashboard to suggest optimal dispatch times and routes
• Training internal teams on data literacy and usage of AI-driven insights

We ensured the first model was interpretable and easy to act upon—helping build stakeholder confidence early.