A data-driven tool designed to optimize delivery routes using geospatial data and algorithmic efficiency. This project aims to minimize delivery time, fuel consumption, and overall operational cost by applying intelligent routing based on real-world geolocation inputs.
- Geospatial data integration (GPS coordinates, mapping)
- Route optimization algorithms (e.g., shortest path, clustering)
- Visualization of delivery zones and routes
- Modular and scalable codebase
- Python
- JSon
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Graphical Interface for Management
Develop a user-friendly GUI for inputting delivery coordinates, viewing optimized routes, and managing delivery points dynamically. -
Analytical Interface
Add charts and metrics to analyze performance indicators like:- Total distance traveled
- Delivery time estimations
- Load balancing across delivery vehicles (if applicable)