This project presents an advanced Inventory Management System designed to automate stock tracking and predict potential stock-out situations using sales-based forecasting logic. Developed using Node.js, React, and MongoDB, the system intelligently analyzes sales trends to calculate optimal stock levels and generate timely alerts when inventory is likely to run low. The aim is to support small and medium-sized businesses by ensuring continuous product availability and reducing operational losses caused by stock shortages.

The system applies a predictive stock maintain algorithm that evaluates historical sales patterns, consumption speed, and restocking intervals to determine when items may reach critical levels. Users receive real-time notifications, enabling them to take proactive action. Additional features include product categorization, supplier management, analytics dashboards, and detailed reporting.