
Stock
Inventory Management System
August 2022
Private Repository
Overview
I developed a comprehensive inventory management system that enables businesses to efficiently track, manage, and analyze their stock levels in real-time. This solution streamlines inventory operations by automating stock tracking, providing historical data analysis, and offering intuitive management interfaces.
Key Features
- Real-time Stock Tracking: Monitor inventory levels with up-to-the-minute accuracy across all warehouse locations
- Inventory Movement History: Complete audit trail of all stock additions and reductions with detailed timestamps
- User Authentication & Authorization: Secure role-based access control to protect sensitive inventory data
- Intuitive Dashboard Interface: Visual representation of stock levels, movement trends, and critical inventory metrics
- Item Management: Comprehensive catalog system with detailed product information and descriptions
- Historical Analysis: Track inventory movements over time with detailed filtering and reporting capabilities
Technical Implementation
- Frontend: React-based dashboard with Ant Design for a modern, responsive user interface
- Backend: Node.js with Express providing RESTful API services
- Database: PostgreSQL for reliable, structured data storage with complex relationships
- ORM: TypeORM for type-safe database interactions and migrations
- Authentication: JWT-based security with token management
- State Management: Zustand for lightweight, efficient state management
- Visualization: ECharts for interactive data visualization and reporting
- Containerization: Docker for consistent deployment across environments
Business Impact
This inventory management system addresses critical business challenges by:
- Preventing Stock-outs: Alerts for low inventory levels before critical thresholds are reached
- Reducing Inventory Costs: Optimizing stock levels based on historical usage patterns
- Improving Operational Efficiency: Streamlining inventory processes and reducing manual data entry
- Enhancing Decision Making: Providing actionable insights through comprehensive reporting and analytics
- Minimizing Human Error: Automating inventory calculations and tracking operations
Technologies Used






