AI-Based Desktop Inventory Management System with Stock Prediction and Alerts

Develop a desktop application to manage inventory, track stock levels, and predict future requirements using AI to reduce overstock or shortages and improve business efficiency.

Design database for products, suppliers, transactions, and stock logs.

Implement secure login and role-based access for admin and staff.

Develop modules to add, update, and delete products.

Preprocess historical stock data for AI analysis.

Apply ML algorithms to predict stock requirements and reorder alerts.

Build dashboards to visualize stock trends and sales analytics.

Implement notifications for low stock or overstock conditions.

Test AI predictions, application usability, and backend functionality.

Document system architecture, AI workflow, and user guide.