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Development of Web-Based Container Shipping Optimization Platform
  1. case
  2. Development of Web-Based Container Shipping Optimization Platform

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Development of Web-Based Container Shipping Optimization Platform

https://soltech.net
Manufacturing
Logistics
eCommerce

Business Challenges in Offshore Procurement

High shipping costs due to partial container utilization, lack of automated systems for small businesses to consolidate orders, and inefficiencies in managing dynamic supply chain variables. Existing spreadsheet-based models lacked scalability and real-time collaboration capabilities.

About the Client

Provider of end-to-end automation solutions for offshore procurement and shipping

Project Goals for Shipping Optimization

  • Automate order consolidation into full shipping containers
  • Reduce shipping costs by 30-40% through container optimization
  • Implement dynamic variable handling for real-time supply chain adjustments
  • Enable small businesses to access offshore manufacturing cost benefits

Core System Functionalities

  • Interactive Container Wizard for visual capacity management
  • Real-time container fill tracking dashboard
  • Automated shipping trigger at container capacity threshold
  • Parameter-driven business rules engine
  • Multi-tenant buyer collaboration interface

Technology Stack Preferences

React.js for front-end interface
Node.js backend with MongoDB
Cloud-native architecture (AWS/GCP)
Containerization (Docker/Kubernetes)

System Integration Requirements

  • ERP systems (SAP/Oracle)
  • Shipping carrier APIs
  • Payment gateways
  • Inventory management systems

Non-Functional Requirements

  • Horizontal scalability for 10,000+ concurrent users
  • 99.99% system uptime SLA
  • Role-based access control (RBAC)
  • Real-time data synchronization <500ms latency

Expected Business Impact

Enables 30-40% reduction in shipping costs through container optimization, expands offshore manufacturing access to SMEs, reduces manual process overhead by 70%, and improves supply chain risk management through dynamic variable automation.

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