Designing and Implementing a Real-Time Inventory Analytics Platform Using Modern Full-Stack Web Architecture
Author : M Akila and T Rajeshwari
Abstract :
Inventory management is a critical operational function for organizations that handle large volumes of products such as mobile phones, books, and electronic devices. Efficient management of stock levels, financial investment, and sales performance is essential for maintaining profitability and operational stability. Traditional inventory management systems typically rely on manual record keeping or static databases that do not provide real-time insights or automated analytics. As a result, businesses often experience inaccurate inventory records, delayed decision-making, and financial miscalculations. This research presents the design and implementation of a Real-Time Inventory Analytics Platform using modern full-stack web architecture. The proposed system integrates React TypeScript for frontend development, NestJS for backend services, and PostgreSQL as the relational database management system. The platform enables real-time stock monitoring, automated financial calculations, and lifecycle-based classification of products into active stock, old stock, and sold-out categories.
The system also includes secure user authentication, dynamic dashboard analytics, and efficient search functionality. Financial indicators such as investment amount, profit percentage, and selling price are automatically calculated using database queries and backend processing. Experimental evaluation demonstrates that the proposed system significantly improves data accuracy, operational efficiency, and response time compared to traditional inventory management systems. The modular architecture ensures scalability, maintainability, and adaptability for future enhancements such as cloud deployment and artificial intelligence-based stock forecasting.
Keywords :
Real-Time Inventory Management, Full-Stack Web Architecture, React TypeScript, NestJS Framework, PostgreSQL Database.
