Smart Logistics Manager is a professional web application crafted to enhance logistics operations. Equipped with a powerful admin dashboard, it offers advanced analytics, real-time driver tracking, route optimization, fleet management, predictive metrics, and delivery performance monitoring. This comprehensive solution ensures seamless, efficient, and data-driven management for achieving operational excellence and superior delivery outcomes. 🚀
- Comprehensive Analytics: Gain insights into performance metrics and trends with detailed visualizations.
- Route Optimization: Minimize delivery times and fuel costs with intelligent route planning.
- Real-Time Driver Tracking: Monitor your fleet’s location and status in real-time for better coordination.
- Predictive Metrics: Leverage advanced analytics to predict delivery outcomes and improve planning.
- Delivery Performance Monitoring: Track and measure delivery success rates to ensure top-notch service quality.
- User-Friendly Admin Dashboard: A sleek, intuitive interface for managing all logistics operations seamlessly.
You can visit the live site here - (https://smart-logistic-manager.vercel.app/)
- Typescript – A strongly-typed superset of JavaScript that enhances the development of fast and scalable web applications.
- Tailwind CSS – A utility-first CSS framework for efficient and responsive styling.
- Docker – Containerization for seamless deployment and scalability.
- ShadCN – Used for beautifully designed, responsive components.
- First Read this License & their terms then proceed.
- Star the Repository
- Clone the repository:
git clone https://github.com/Gayatrisin123/Smart-Logistic-Manager.git- Install the necessary dependencies:
pnpm install- Start the development server
pnpm run dev- Open your browser and navigate to http://localhost:8080 to view the localhost website
- Start the Docker Engine Locally or Use Any Service
- Navigate to the project Root directory:
cd Smart-Logistics-Manager- Run DockerFile:
docker-compose up --build- Wait for Generating the Image
- Now Simply use the Project using Docker Container
| Feature | Description |
|---|---|
| AI-Driven Route Planning | Implement machine learning to predict optimal delivery routes dynamically. |
| Multi-Language Support | Add support for multiple languages to cater to a global user base. |
| Driver Performance Metrics | Introduce detailed analytics to track and improve driver performance. |
| Mobile App Integration | Develop a companion mobile app for on-the-go management and tracking. |
| Custom Reporting Tools | Allow users to generate tailored reports for specific business needs. |
| API Integration | Enable seamless integration with third-party logistics and ERP systems. |
Feel free to reach out if you have any questions or suggestions!
- Raise an issue for the same Issue
- Github: @GayatriSingh
License Credential Check.
You can use this project the way you want Make sure to fork before. Feel free to credit me if you want to!
Sorry But this project not welcome Contributions! Yes u gave a Feedback and Suggestion via raising the Issues.
