Smart Inventory Management System

Smart Inventory Management System is a machine learning-driven solution designed to optimize product stocking through accurate demand forecasting.Using historical sales data, the system predicts future inventory needs by employing algorithms like Linear Regression, Decision Trees, and XGBoost.The application integrates Flask for backend logic and Plotly for interactive visualization, offering users clear and actionable insights.By reducing overstocking and stockouts, the system helps businesses improve operational efficiency and cut costs.Future improvements include real-time stock tracking, auto-replenishment, and anomaly detection for inventory control.