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Modernizing and Enhancing Supply Chain ERP and Workforce Management System
  1. case
  2. Modernizing and Enhancing Supply Chain ERP and Workforce Management System

Modernizing and Enhancing Supply Chain ERP and Workforce Management System

saigontechnology.com
Supply Chain
Logistics

Identified Challenges in Supply Chain Operations and Legacy System Limitations

The client is currently operating with a legacy ERP system developed over many years by multiple vendors, which is cumbersome, outdated, and lacks modern features. This results in inefficient workflows, limited integration capabilities, and difficulty in managing field operations and workforce activities. The existing system hampers scalability, real-time reporting, and user experience, impacting overall productivity and competitiveness.

About the Client

A large, established logistics and supply chain company seeking to upgrade its outdated ERP system, improve operational efficiency, and integrate advanced employee management tools.

Goals for System Modernization and Operational Enhancement

  • Develop a new, scalable ERP system with modern architecture to replace the legacy platform.
  • Implement an online field management module to streamline task assignment, tracking, and reporting.
  • Create an efficient timesheet and resource allocation management system.
  • Integrate advanced mobile applications with AI features for employee check-in/check-out using PIN or facial recognition under various environmental conditions.
  • Enhance system performance to support heavy data loads and ensure high reliability.
  • Improve user experience with a more intuitive interface and seamless workflows.

Core Functional Capabilities for the Supply Chain Management System

  • Online work management portal for task assignment and real-time status updates.
  • Timesheet management and resource allocation module to optimize workforce deployment.
  • Mobile applications supporting employee check-in and check-out via PIN or facial recognition, adaptable to varying lighting conditions and diverse employee demographics.
  • Backend system with API gateway supporting scalable microservices architecture.
  • Performance monitoring and server load balancing utilizing service discovery tools.
  • Data analytics and reporting dashboards for operational insights.

Technological Foundations and Architectural Preferences

.NET Core for backend development
Java and Kotlin for Android mobile applications
React JS and Angular JS for web interfaces
Grafana for system monitoring dashboards
API Gateway solutions such as Ocelot or custom-built alternatives
Service discovery and load balancing tools like Consul and Fabio

Necessary External System and Service Integrations

  • Current legacy ERP systems for data migration and continuity
  • Facial recognition and biometric authentication services for AI-based employee check-in/out
  • External analytics or reporting tools if needed
  • Notification and communication systems for user alerts

Performance, Security, and Scalability Specifications

  • System must support concurrent users with minimal latency, ensuring high responsiveness.
  • Ability to handle high volume data loads with robust data integrity.
  • Scalable architecture to accommodate future growth and feature expansion.
  • Secure access control based on user roles and permissions, ensuring data privacy.
  • High availability with fault tolerance and disaster recovery capabilities.

Anticipated Business Benefits and Project Outcomes

The new system aims to significantly improve operational efficiency, reduce system downtime, and enhance user experience. Expected benefits include faster task allocation, real-time data visibility, improved employee check-in/out with AI features usable under diverse conditions, and better scalability to support future growth. Overall, these enhancements are projected to increase productivity, reduce operational costs, and strengthen the company's competitive position in the logistics sector.

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