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Development of Scalable Order & Shipping Management Platform
  1. case
  2. Development of Scalable Order & Shipping Management Platform

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Development of Scalable Order & Shipping Management Platform

tridhyatech.com
Logistics
eCommerce
Retail

Business Challenges in Shipping Operations

The client struggled with manual handling of high-volume customer requests, delayed shipping status updates, and inefficient ticket management processes. These issues led to operational bottlenecks, customer dissatisfaction, and increased support costs.

About the Client

A multinational logistics and shipping company seeking to digitize operations and improve customer experience through automated order tracking and support systems.

Project Goals for Shipping Management System

  • Automate order and shipping request processing
  • Implement real-time tracking capabilities
  • Create an efficient ticket management system
  • Improve operational scalability and customer satisfaction

Core System Functionalities

  • Customer portal for order submission and tracking
  • Real-time GPS-based shipment status updates
  • Automated ticket creation and intelligent routing
  • Multi-channel communication integration (email/chat)
  • Support agent dashboard with ticket prioritization

Technology Stack Requirements

Microsoft .NET framework
Distributed computing architecture
Database sharding techniques
Real-time data synchronization mechanisms

System Integration Needs

  • Third-party logistics APIs
  • Payment gateway integration
  • Customer relationship management (CRM) systems

Performance & Scalability Requirements

  • Support 10,000+ concurrent users
  • 99.99% system uptime SLA
  • Sub-200ms response time for tracking updates
  • Role-based access control security framework

Expected Business Transformation

The solution will reduce manual processing by 70%, decrease customer inquiry response time by 60%, and support 300% growth in shipment volume capacity. Real-time visibility will improve customer satisfaction scores by 40% while reducing operational overhead costs.

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