Supply Chain & Logistics · Global Logistics Provider
Automated Freight Route Optimization via AI
Reduced operational costs by 22% through a Machine Learning-powered dispatch system.
-22%Reduction in fuel & fleet costs
40h+Saved working hours per week
99.9%System availability of the new API
The Challenge
Our client managed over 15,000 daily freight movements manually using outdated spreadsheets. This not only led to inefficient routes with high empty runs, but also to massive staff overload and frequent delivery delays.
The Solution
We developed a cloud-native architecture where Python-based machine learning algorithms analyze historical and real-time traffic data. The frontend was implemented in React/Next.js as a high-performance dashboard for dispatchers to visualize and approve route changes in real-time.
Technologies Used
Tech stack specifically combined for this use case.
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