AI-Driven Fleet Management Across 12 Countries
TransGlobal Logistics managed a fleet of 8,000+ vehicles across 12 countries using disconnected spreadsheet-based tracking. Kansoft built an intelligent fleet management platform with real-time GPS tracking, predictive maintenance algorithms, and automated route optimization.
The platform uses machine learning models trained on historical route data to predict optimal paths and maintenance schedules.
Results Achieved
- 34% reduction in fuel costs through AI-optimized route planning
- Predictive maintenance reduced vehicle downtime by 52%
- Real-time GPS tracking across all 12 countries with sub-second updates
- Automated compliance reporting for cross-border transport regulations
- Driver safety scores improved by 28% through behavior monitoring
Client Overview
TransGlobal Logistics managed a fleet of 8,000+ vehicles across 12 countries using disconnected spreadsheet-based tracking. Route planning was manual, maintenance was reactive, and fuel costs were escalating 15% year-over-year.
- Industry Logistics & Supply Chain
- Technology Stack Python, TensorFlow, Kubernetes, GCP
- Services Used Custom Software, Cloud & DevOps
- Project Duration 10 months
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