- Atlanta
- Logistics
- 20 Weeks
- B2B
- .NET, React, Azure, PostgreSQL, Kubernetes
Project Brief
The project aims to improve the productivity and reliability of a logistics company’s outdated fleet management system. This was accomplished using a multidimensional strategy. Our objective was to give consumers with specialised software maintenance and support, as well as troubleshooting and system usage recommendations.
Client Background
The client is a leading logistics supplier in the United States, offering a diverse variety of transportation and supply chain solutions. They have a huge fleet of vehicles and rely largely on effective fleet management to ensure service quality and competitiveness. The old system has performance limitations, fails on occasion, and lacks several critical features that reduce operating efficiency (for example, real-time driver communication, automated reporting, and predictive maintenance warnings).
Key Challenges:
Solution:
1. Discovery and Planning
Our team did a thorough evaluation of the present system, finding key areas for improvement. Detailed stakeholder inquiries and system assessments were conducted to gather needs and establish clear project objectives.
2. Development
The system was rebuilt using a current technology stack that included.NET for backend development, React for frontend, and Azure for cloud deployment. PostgreSQL was utilised for database administration, and Kubernetes for container orchestration, ensuring scalability and dependability.
3. Implementation
To minimise disturbances, the new system was implemented gradually. Fleet managers received training to guarantee a smooth adoption process. Continuous help was offered to quickly resolve any post-deployment difficulties.
Tools & Technology Used
.NET
Programming Language
React
Programming Language
Azure
Cloud Services
PostreSQL
Database
Kubernetes
Containerization
Features:
Real-time Fleet Monitoring
The system allowed real-time tracking of vehicle performance and maintenance requirements, allowing for early interventions and lowering the chance of breakdowns.
Predictive Maintenance
Integrated predictive maintenance capabilities enabled early detection of possible problems, reducing unexpected failures and increasing vehicle uptime.
User-friendly Interface
A revamped, straightforward user interface increased productivity and lowered mistake rates, allowing fleet managers to browse and use the system more efficiently.
Compliance Reporting
Automated compliance reporting features assured compliance with transportation rules, decreasing administrative burden and lowering the danger of fines.