This project focused on optimizing fleet operations and delivery planning within the logistics and transportation sector by replacing inefficient, Excel-based workflows with a centralized digital system.
The platform was designed to automate route planning, improve fleet visibility, and reduce operational costs through process optimization and applied AI.
By combining fleet management capabilities with advanced route optimization, the solution enables logistics teams to plan faster, operate more efficiently, and make data-driven decisions.
Transport teams required a scalable platform to manage fleet operations and plan complex delivery routes while reducing manual coordination and planning errors.
The system needed to support real-time visibility, operational constraints, and data-driven decision-making.
We designed and implemented a fleet management and route optimization platform that centralizes planning and execution.
The system processes large delivery datasets and operational constraints to generate optimized routes and provides real-time visibility into fleet activity.
AI models were integrated for delivery clustering and ETA prediction, improving planning accuracy and execution efficiency.
40% faster route planning
Reduced fuel consumption and operational costs
Improved fleet utilization and planning accuracy
Increased operational transparency across logistics teams