Project Overview
Building a Predictive Fleet & Shipment Management Platform for a Global Logistics Leader.
Industry
Logistics
The Client
One of the world’s largest logistics companies is aiming to modernize fleet operations and shipment tracking across multiple regions. Their existing legacy tools were fragmented, lacked real-time visibility, and couldn’t scale with growing global operations.
Challenges Addressed
- No unified visibility of shipments across regions
- Unreliable delivery ETAs, leading to customer dissatisfaction and SLA breaches
- Manual route planning increases operational costs
- Scaling limitations when onboarding new enterprise customers and regions
Collaboration in Action
Cubet partnered with the client through a Dedicated Team model (Dedicated Software Teams)—a fully integrated team of engineers, architects, and data specialists working as an extension of the client’s IT division. This setup enabled close collaboration, a deep understanding of operational challenges, and ongoing development and support without requiring a large internal team.
Technologies Deployed
Backend: Python (FastAPI)
Data Streaming: Kafka, Airflow
Database: PostgreSQL, Redis, Elasticsearch
Machine Learning: scikit-learn, TensorFlow
Deployment: Docker, Kubernetes (AWS EKS), Terraform
Integrations: ERP/WMS APIs, GPS/IoT devices, weather and traffic data APIs
Innovative Feature
A custom-built, multi-tenant SaaS platform featuring:
- Real-time data streaming for live tracking
- Predictive ETAs using ML models
- Dynamic route optimization based on traffic/weather disruptions
- Role-based dashboards for shippers, drivers, and managers
- Fast onboarding of new regions and clients through data segregation
Value Delivered
- 30% reduction in delivery delays due to accurate ETAs and proactive alerts
- 20% cut in fleet operating costs from improved utilization and routing
- 2x faster onboarding of new regions, enabling rapid global expansion
- Platform processes over 1.5 million shipment events daily with 99.99% uptime
User Feedback
Cubet felt like an extension of our own team. The platform changed how we operate—faster, clearer, smarter.
Conclusion
By adopting Cubet’s Dedicated Team model, the client scaled development rapidly without increasing internal headcount. The platform became a strategic asset—enhancing shipment visibility, reducing SLA breaches, and securing long-term contracts with global freight companies.
Impact Made
Significant operational cost savings, improved customer satisfaction, faster regional expansion, and a strategic edge in the competitive logistics space.