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Analyzed delivery and personnel data to assign orders based on proximity and vehicle type. Utilized Haversine formula for distance calculations, optimizing travel routes. Integrated time window logic for efficient shift scheduling and clear time formatting.

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digvijay-y/Geospatial-Delivery-Optimization-Tool

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Geospatial Delivery Optimization Tool

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.

๐Ÿš€ Features

  • Geospatial data integration (GPS coordinates, mapping)
  • Route optimization algorithms (e.g., shortest path, clustering)
  • Visualization of delivery zones and routes
  • Modular and scalable codebase

๐Ÿง  Tech Stack

  • Python
  • JSon

๐Ÿ”ฎ Future Updates

  • 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)

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Analyzed delivery and personnel data to assign orders based on proximity and vehicle type. Utilized Haversine formula for distance calculations, optimizing travel routes. Integrated time window logic for efficient shift scheduling and clear time formatting.

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