Logistics & Supply Chain
AI-Driven Route and Truck Volume Optimization Platform Built for a Logistics Solutions Company in the Nordic Region
Improving route planning, load visibility, and operational efficiency through real-time optimization
9X
Enhanced Visualization
75%
Streamlined Management
100%
Data security
Client Overview
The client is a logistics solutions company operating across the Nordic region, managing complex transportation networks that involve real-time vehicle tracking, route planning, and load optimization. With growing operational scale and increasing data volumes, the company required a modern platform to improve visibility, performance, and decision-making.
Challenge
- Developing intelligent algorithms to optimize truck routing and load utilization
- Processing real-time data for live tracking and dynamic route optimization without system strain
- Maintaining a responsive user interface across devices while handling complex calculations
- Ensuring secure handling of operational and location data
Our Approach
Sthenos designed the solution with performance, scalability, and usability as core priorities.
Intelligent Optimization Logic
The platform incorporated advanced logic to optimize truck volumes and routes based on real-time inputs, enabling better utilization and planning accuracy.
Real-Time Data Processing
The system was built to ingest and process live data efficiently, supporting continuous updates without impacting responsiveness.
Modular and Scalable Architecture
Backend and frontend components were structured to support ongoing enhancements and faster development cycles.
Consistent Cross-Device Experience
The user interface was designed to remain responsive and intuitive across different screen sizes and devices.
Technical Spotlight
- Backend Performance and Concurrency: Java was used for backend development, utilizing multithreading capabilities to process real-time data efficiently without degrading system performance.
- Modular Frontend Architecture: Angular 7 enabled a component-based UI structure, making complex optimization data easier to visualize and interact with.
- Efficient Algorithm Implementation: Optimization logic was broken into modular components, improving maintainability, collaboration, and debugging.
- Responsive UI Design: HTML5 ensured a consistent and responsive experience across devices.
Solution Delivered
- Real-time visualization of routes and truck load utilization
- Intelligent route optimization based on live operational data
- Improved planning accuracy and reduced manual intervention
- Secure handling of logistics and location data
Results
- 9× improvement in visualization, enabling faster understanding of routes and load distribution
- 75% streamlining of management workflows, reducing planning time and operational friction
- 100% data security, ensuring trust and compliance across systems
- Improved responsiveness and user satisfaction across devices
Tech Stack
