Twine

FleetOps Intelligence — Fleet & Route Optimization Software

Muhammad Usama
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FleetOps Intelligence | Enterprise Fleet Optimization Platform

Problem: Logistics companies face inefficient delivery routes, rising fuel costs, delayed shipments, and limited visibility into vehicle operations.

Proposed Solution: Build an enterprise fleet management and route optimization platform that processes delivery requests, assigns vehicles, calculates efficient routes, and tracks operational performance.

Core Features:

  • Vehicle, driver, shipment, and fleet management.
  • Route optimization using graph algorithms and configurable constraints.
  • Real-time vehicle location simulation and delivery status updates.
  • Automatic shipment assignment based on capacity, distance, and availability.
  • ETA calculations, delay alerts, and exception handling.
  • REST APIs, role-based permissions, audit logs, and reporting.
  • Background workers for route recalculation and shipment processing.

Technology Stack: React.js, TypeScript, C#, ASP.NET Core Web API, Entity Framework Core, PostgreSQL or SQL Server, Redis, SignalR, Docker, GitHub Actions.

Engineering Focus: Graph algorithms, optimization, asynchronous processing, real-time communication, API architecture, and performance testing.

Role: Full-Stack Software Engineer | Independent Project