Client
TransGlobal Logistics
Timeline
December 2025
Scope
Logistics
Deliverables
- UI/UX Design
- Frontend Development
- Backend Architecture
The Challenge
Last-mile delivery costs were eating into margins, driven by inefficient routing and rising fuel prices. Drivers missed delivery windows due to unpredictable traffic, leading to customer churn and high overtime costs.
The Solution
We implemented a Predictive Route Optimization Engine.
- Machine Learning: Trained models on 10 years of historical traffic and weather data to predict delivery times with 95% accuracy.
- Dynamic Rerouting: The system automatically updates driver routes mid-shift based on real-time road conditions.
- Load Balancing: Optimal cargo distribution ensured no truck went out half-empty.
The Impact
Efficiency soared while costs plummeted.
- Fuel Savings: Reduced fuel consumption by 18% fleet-wide.
- Delivery Capacity: Handled 25% more deliveries without adding a single vehicle.
- On-Time Performance: Improved from 82% to 96%.
100%
Uptime Guaranteed
3x
Perf. Increase