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https://github.com/kirolos00daniel/retail-inventory-management-and-forecasting
https://github.com/kirolos00daniel/retail-inventory-management-and-forecasting
css html js powerbi python
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/kirolos00daniel/retail-inventory-management-and-forecasting
- Owner: Kirolos00Daniel
- License: mit
- Created: 2024-11-23T07:59:25.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-23T08:04:30.000Z (about 2 months ago)
- Last Synced: 2024-11-23T09:17:12.184Z (about 2 months ago)
- Topics: css, html, js, powerbi, python
- Homepage:
- Size: 5.86 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Retail Inventory Management and Forecasting
A comprehensive web-based application designed to manage retail inventory efficiently and forecast future demand trends. This project leverages advanced data analytics and a user-friendly interface to streamline inventory processes for retailers.
## Features
- **Inventory Management**: Track stock levels, update inventory details, and monitor stock movements.
- **Forecasting**: Predict future inventory needs based on historical sales data using advanced algorithms.
- **Interactive Dashboard**: Visualize inventory and forecasting insights through an intuitive interface.
- **Multi-user Support**: Secure login system for multiple users with role-based access.
- **Dynamic Visualizations**: Integrated Power BI reports for in-depth data analysis.
## Technologies Used
- **Backend**: Python (Flask framework)
- **Frontend**: HTML, CSS, JavaScript
- **Forecasting**: Machine learning libraries in Python
- **Data Visualization**: Power BI for interactive dashboards
- **Database**: SQLite (or specify your database if different)
## Installation and Setup
1. **Clone the repository**:
```bash
git clone https://github.com/your-repository-link.git
cd retail-inventory-management
```
2. **Set up a virtual environment**:
```bash
python -m venv env
source env/bin/activate # For Windows: env\Scripts\activate
```
3. **Install dependencies**:
```bash
pip install -r requirements.txt
```
4. **Run the application**:
```bash
python app.py
```
5. **Access the application**:
Open your browser and navigate to `http://127.0.0.1:5000`.
## Power BI Dashboard
Explore the interactive dashboard here: [Retail Inventory Dashboard](https://app.powerbi.com/view?r=eyJrIjoiYmU3MWY5MmUtYzRhOS00OGU0LWJjMmQtNzkyMWI4OWJkMmQwIiwidCI6ImRmODY3OWNkLWE4MGUtNDVkOC05OWFjLWM4M2VkN2ZmOTVhMCJ9)
## Future Enhancements
- Integration with external APIs for real-time sales data.
- Advanced forecasting models using deep learning.
- Mobile app version for on-the-go inventory management.
## Contributing
Contributions are welcome! Please fork the repository and submit a pull request with your changes.
## License
This project is licensed under the MIT License.