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Modernization of Legacy ERP System with Integrated Mobile Workforce Management
  1. case
  2. Modernization of Legacy ERP System with Integrated Mobile Workforce Management

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Modernization of Legacy ERP System with Integrated Mobile Workforce Management

saigontechnology.com
Logistics
Information technology

Legacy ERP System Modernization Challenges

The client's existing ERP system suffers from outdated architecture, fragmented vendor-developed codebases (6+ years), operational inefficiencies, and scalability limitations. The cumbersome system hinders workforce management capabilities and fails to meet modern performance requirements for logistics operations.

About the Client

Global logistics solutions provider specializing in supply chain optimization and operational efficiency improvement for partner companies

System Modernization Goals

  • Maintain and enhance existing ERP system functionality
  • Develop a new high-performance system with modern architecture
  • Implement AI-powered mobile workforce management solution
  • Ensure seamless integration between legacy and new systems
  • Improve scalability for handling heavy data loads

Core System Requirements

  • Field Management System
  • Timesheet Management Module
  • Work Allocation Engine
  • AI-powered Mobile Check-in/Check-out (Face/PIN recognition)
  • Cross-system Compatibility (Legacy/New System Support)
  • Real-time Operational Dashboard

Technology Stack

.NET Core
Java for Android
React JS
Angular JS
.NET Full
Kotlin
Grafana
Consul
Fabio
Ocelot API Gateway

System Integrations

  • Legacy ERP System Integration
  • Biometric Authentication Services
  • Mobile Device Management Systems
  • Cloud Infrastructure (Load Balancing)

Non-Functional Requirements

  • High system availability (99.9% uptime)
  • Scalable architecture for 10x user growth
  • Cross-platform mobile compatibility
  • Low-light environment support for mobile app
  • Multi-tenancy security model
  • Real-time performance monitoring

Expected Business Impact

The modernized system will enhance operational efficiency by 40%, reduce maintenance costs by 30%, and support 50% faster workforce management processes. The AI-powered mobile solution will improve employee tracking accuracy to 99.8% across diverse working conditions while maintaining seamless legacy system compatibility.

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