The Challenge
A leading logistics company was struggling with inefficient delivery routes, leading to high fuel consumption, increased operational costs, and delayed delivery schedules. They needed an intelligent solution to optimize their routing process.
Our Solution
Our AI team developed a custom machine learning model that analyzed historical traffic data, weather conditions, delivery windows, and vehicle capacity. The solution generated optimized, multi-stop routes in real-time for their entire fleet. We integrated this model into their existing dispatch system through a custom API.
The Results
- **22% reduction** in fuel costs.
- **15% increase** in on-time delivery rates.
- **30% improvement** in fleet capacity utilization.
- Enhanced driver satisfaction due to more efficient and realistic route planning.