Next-Generation Freight Management System with Cost Optimization and Enhanced Integration

The company relies on an outdated Transportation Management System (TMS) developed with limited integration capabilities, leading to frequent deployment failures and operational inefficiencies. Their AWS cloud infrastructure is misconfigured, resulting in unnecessary log storage, increased costs, and system slowdowns, hampering daily operations and customer service quality.

A mid to large-sized logistics and freight forwarding company operating nationwide, focusing on improving operational efficiency and cost management while enhancing customer experience.

• Re-engineer and modernize the existing TMS platform to improve reliability and scalability within 4.5 months.
• Optimize AWS cloud infrastructure to reduce expenses by at least 140%, ensuring cost-effective operation.
• Develop a robust CI/CD pipeline to facilitate rapid deployment of features and hotfixes.
• Integrate the TMS seamlessly with existing CRM systems to enable real-time data synchronization, saving approximately 20 man-hours monthly.
• Improve system performance, reducing server load by approximately 90%.
• Implement security best practices to safeguard customer and operational data.
• Enhance reporting, analytics, and customer dashboards for better decision-making and user experience.

• Rebuild and support an enterprise-grade TMS platform to ensure operational stability and scalability.
• Implement real-time synchronization with customer relationship management (CRM) systems, enabling instant data updates for customer and shipment information.
• Design a flexible and reliable deployment pipeline with CI/CD practices for rapid feature rollout and hotfixes.
• Optimize cloud infrastructure configurations to significantly lower AWS costs and improve system performance.
• Enhance user dashboards for improved reporting intelligence and analytics.
• Develop secure, scalable, and robust hosting and deployment architectures.

• Customer Relationship Management (CRM) system for real-time data synchronization
• Cloud infrastructure management tools
• Reporting and analytics platforms

• Cost reduction: Achieve at least a 140% reduction in AWS cloud costs through infrastructure optimization
• Performance: Reduce server load by approximately 90%
• Availability & scalability: Ensure high availability and scalability to support enterprise-grade operations
• Security: Implement industry-standard security protocols to protect sensitive data
• Deployment: Establish an automated CI/CD pipeline for feature rollout and hotfix deployment

The project aims to deliver a 140% reduction in cloud infrastructure expenses, a significant decrease in system load (approximately 90%), and increased operational efficiency, including saving around 20 man-hours per month through CRM data synchronization. Overall, these improvements will enhance system reliability, user experience, and cost-effectiveness, future-proofing the company's freight management capabilities.