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Modernization of Legacy Transportation Management System with Enhanced Features and Cloud Migration
  1. case
  2. Modernization of Legacy Transportation Management System with Enhanced Features and Cloud Migration

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Modernization of Legacy Transportation Management System with Enhanced Features and Cloud Migration

acropolium
Logistics
Transportation

Challenges in Legacy TMS Modernization

The client's transportation management system suffered from poor code quality, unstable architecture, and performance bottlenecks caused by legacy systems and prior vendors' suboptimal development practices. Issues included unscalable PHP implementation without OPCache, data desynchronization across dual databases, excessive 504 Gateway Timeout errors, and technical debt from legacy MS SQL infrastructure. These challenges hindered feature development, system reliability, and operational efficiency.

About the Client

A freight forwarding provider uniting shippers with carriers since the 1990s, offering multi-modal shipping, freight insurance, and tracking solutions via a web-based platform to a global client base.

Objectives for TMS Modernization

  • Refactor legacy codebase to improve system stability and scalability
  • Enhance platform performance by addressing architectural flaws
  • Implement new features for dynamic rights-restricted income calculation and reporting
  • Migrate infrastructure to AWS cloud for cost optimization and reliability
  • Integrate third-party systems for zip code data, cargo insurance, and analytics

Core System Functionalities and Features

  • Dynamic rights-restricted income calculation and reporting
  • Integrated zip code database (替代 Google API)
  • Cargo insurance integration module
  • Supply chain management tools
  • A/B testing and customer analysis framework
  • Redesigned user interface for improved usability

Technology Stack Requirements

PHP (latest version)
Node.js
React.js
ElasticSearch
AWS
MySQL

System Integration Needs

  • In-house zip code database
  • Cargo insurance solutions
  • Supply chain management systems
  • Google Analytics for user behavior analysis
  • A/B testing platforms

Non-Functional Requirements

  • High scalability to handle 10+ billion records
  • Improved response time performance (eliminate 504 errors)
  • Data consistency across distributed systems
  • Cloud security compliance on AWS
  • Seamless legacy-to-modern migration path

Expected Business Impact

Projected $5K monthly savings from Google API replacement and $10K annual savings via AWS migration. Enhanced system stability and performance expected to support 1+ billion shippers globally. Improved analytics capabilities enabling customer-centric product development and operational efficiency gains through automated data consistency management.

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