Inventory Management System

The Inventory Management System is a full-stack application designed to streamline inventory tracking, reduce operational inefficiencies, and provide real-time insights for better decision-making. The system helps businesses track inventory levels, receive low-stock alerts, and optimize inventory replenishment processes through a cloud-integrated solution.
SECTOR
Manufacturing
PROJECT TYPE
Full Stack
Technologies
ReactJS
NodeJS
ExpressJS
AWS Lambda
DynamoDB
AWS S3
AWS SQS

Goal of the project

The primary goal of this project was to create a robust and scalable system that:

  • Monitors and manages inventory levels in real-time.
  • Reduces manual errors and delays in inventory tracking.
  • Provides actionable insights through data visualization to improve operational efficiency.
  • Enables seamless integration with cloud services for scalability and accessibility.

Project Execution

UI/UX Design

I utilized a free design from the Figma Community, created by Praveen Kumar C (@praveenkumarpk).

Architecture

The application was built using a modern microservices-based architecture to ensure scalability and flexibility. The architecture includes the following components:

Architecture Diagram
  1. Frontend:
    • Built with React.js for a responsive and user-friendly interface.
    • Features include a dashboard for inventory visualization, CRUD operations, and real-time notifications.
  2. Backend:
    • Developed using Node.js and Express.js to handle API requests and business logic.
    • Integrated with AWS Lambda for executing serverless functions, ensuring scalability and cost-effectiveness.
  3. Database:
    • Used MongoDB for storing inventory records, such as item details, quantities, and transaction history.
    • Integrated DynamoDB for real-time updates and notifications.
  4. Cloud Services:
    • AWS S3 for storing static assets like images of inventory items.
    • AWS Lambda for serverless processing of alerts and inventory updates.
  5. Message Queue:
    • Implemented AWS SQS (Simple Queue Service) for handling asynchronous tasks like generating notifications.

Tech Stack

  • Frontend: React.js, Material-UI
  • Backend: Node.js, Express.js
  • Database: AWS DynamoDB
  • Cloud Services: AWS Lambda, AWS S3, AWS SQS
  • Tools Used:
    • GitHub for version control.
    • Postman for API testing.
    • Docker for containerizing the application.

Timelines

The project was executed over a 10-week timeline:

  • Week 1-2: Requirement gathering, architecture design, and tech stack finalization.
  • Week 3-5: Frontend development, including the dashboard and forms.
  • Week 6-8: Backend development and database integration.
  • Week 9: Cloud service integrations (AWS).
  • Week 10: Testing, bug fixing, and final deployment.