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Development of Equipment Tracking and Event Management System
  1. case
  2. Development of Equipment Tracking and Event Management System

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Development of Equipment Tracking and Event Management System

lionwood.software
Business services
Media
Information technology

Challenges in Equipment Inventory Management

The client faced significant difficulties in tracking equipment inventory across multiple locations and events, leading to equipment loss, unclear responsibility assignments, and inefficient communication between teams. Manual processes caused delays in status updates, increased overtime costs, and complications in onboarding new employees.

About the Client

Leading lighting production company specializing in equipment rental, stage design, and technical support for TV shows and concerts

Key Project Goals

  • Implement real-time equipment location tracking
  • Establish clear accountability for equipment handling
  • Reduce equipment loss through automated monitoring
  • Streamline event and inventory management workflows
  • Simplify onboarding of new employees through system transparency

Core System Functionalities

  • Inventory tracking with location history
  • Role-based user permissions (Global Admin, Admin, PM, Employee)
  • Real-time equipment status updates
  • Interactive stage/venue visualization
  • Usage statistics and overtime reporting
  • Mobile access for warehouse operations

Technology Stack Requirements

.NET
MongoDB
React
React Native
HTML
CSS

System Integration Needs

  • Warehouse management systems
  • Third-party logistics platforms

Performance and Security Requirements

  • High system availability (99.9% uptime)
  • Role-based data encryption
  • Scalable architecture for global operations
  • Responsive UI/UX across devices
  • Audit trails for equipment movements

Expected Business Impact

The system will reduce equipment loss by 80%, decrease onboarding time for new employees by 50%, and optimize operational efficiency through automated tracking. Real-time statistics will enable data-driven decisions to reduce overtime costs and improve resource allocation across 10,000+ annual projects.

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