LogiTrack is a modern, web-based inventory management system built with Python and Streamlit. It provides real-time optimization of warehouse inventory distribution, order management, and supply chain analytics.

• Real-time inventory tracking
• Warehouse utilization metrics
• Order fulfillment statistics
• Supply chain performance indicators
• Interactive data visualizations

• Multi-warehouse optimization
• Geographic distribution mapping
• Cost-effective allocation algorithms
• Real-time route visualization

• Order tracking and status updates
• Priority-based fulfillment
• Delivery deadline monitoring
• Automated allocation suggestions

• Capacity utilization tracking
• Stock level monitoring
• Storage cost optimization
• Location-based analytics

• Supplier performance metrics
• Reliability scoring
• Lead time tracking
• Quality assessment

• Python 3.9 or higher
• pip package manager
• Git (optional)

1. Clone the repository:

   git clone https://github.com/tanisheesh/logitrack.git cd logitrack

2. Create and activate virtual environment (optional but recommended):

   python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the application:

   streamlit run src/app.py

logitrack/ ├── src/ │ ├── app.py # Main Streamlit application │ ├── backend/ │ │ ├── __init__.py │ │ ├── data_loader.py # Data handling and processing │ │ └── optimizer.py # Optimization algorithms │ └── utils/ │ └── helpers.py # Utility functions ├── data/ │ ├── sample_warehouses.csv │ ├── sample_sales.csv │ └── other sample data... ├── tests/ │ └── test files... ├── docs/ │ └── documentation files... ├── requirements.txt ├── README.md └── LICENSE 

1. Login: Enter your credentials to access the system.
2. Data Source: Choose between:
   • Sample data
   • Upload your data (CSV)
   • Database connection
3. Navigation: Use the sidebar to access different features:
   • Overview
   • Inventory Management
   • Order Management
   • Supplier Management
   • Optimization
   • User Guide

warehouse_id,name,capacity,current_stock,location,storage_cost,latitude,longitude W001,Mumbai Central,10000,7500,Mumbai,1200,19.0760,72.8777 W002,Singapore Hub,15000,12000,Singapore,1500,1.3521,103.8198 

order_id,date,product_id,quantity,delivery_deadline,status,delivery_latitude,delivery_longitude ORD001,2025-03-24,P001,500,2025-03-26,Pending,19.0760,72.8777 ORD002,2025-03-24,P002,750,2025-03-25,Urgent,1.3521,103.8198 

The system supports various configuration options:

• Database connections (MySQL, PostgreSQL, SQLite)
• Optimization parameters
• Visualization preferences
• Time zone settings

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch:

   git checkout -b feature/AmazingFeature

3. Commit your changes:

   git commit -m 'Add some AmazingFeature'

4. Push to the branch:

   git push origin feature/AmazingFeature

5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

Made with ❤️ by Tanish Poddar