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The application provides complete inventory tracking capabilities including product management, real-time stock monitoring, transaction logging, and detailed analytics through interactive dashboards.

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anshumansinha3301/Inventory-Mgmt-System-Using-Streamlit

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Inventory-Mgmt-System-Using-Streamlit

This is a comprehensive Python and Streamlit-based inventory management system designed for professional use with an intuitive user interface and over 25 advanced features. The application provides complete inventory tracking capabilities including product management, real-time stock monitoring, transaction logging, and detailed analytics through interactive dashboards. Users can easily add, edit, and delete products while tracking key metrics such as quantity, price, supplier information, and reorder levels across multiple warehouse locations. The system automatically identifies low-stock items and displays warning alerts to prevent inventory shortages, helping maintain optimal stock levels. With its modular design, the application offers four main sections: a dashboard with key performance indicators and visualizations, product management for CRUD operations, inventory view with filtering and search capabilities, and comprehensive reporting with export options to CSV format. The interface leverages Streamlit's modern components including data editors, tabs, and columns alongside Plotly for interactive charts, creating a professional-grade user experience suitable for business environments. Built entirely in Python with pandas for data manipulation, the system stores all information in memory using Streamlit's session state, making it easy to deploy and use without requiring external databases or authentication systems. This inventory management solution is ideal for small to medium businesses looking for a powerful, customizable, and user-friendly system to manage their stock efficiently.

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The application provides complete inventory tracking capabilities including product management, real-time stock monitoring, transaction logging, and detailed analytics through interactive dashboards.

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