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Real-Time Transportation Management System for Automotive Logistics

lionwood.software

Logistics

Automotive

Consumer products & services

Business Challenges in Automotive Logistics Management

Carriers require a centralized platform to efficiently discover, manage, and track vehicle transport orders in real-time. Current challenges include manual geolocation-based order discovery, fragmented communication with dispatchers, complex fuel price calculations, and document management inefficiencies.

About the Client

US-based car shipping service provider catering to families, online car buyers, military personnel, and classic vehicle owners with nationwide transportation needs.

Strategic Project Goals

Implement real-time order monitoring with dynamic filtering capabilities
Develop geolocation-based order grouping functionality
Create interactive mapping tools for route optimization
Establish real-time communication channels between carriers and dispatchers
Streamline financial and documentation management processes

Core System Capabilities

Real-time order feed with customizable geolocation filters
Interactive map with route optimization overlays
Secure real-time chat with dispatchers
Automated fuel cost calculation engine
Digital document management system
Driver profile management with financial tracking
Infrastructure point-of-interest mapping

Technology Stack Requirements

.NET

Angular

RabbitMQ

Identity Server

Figma

External System Integrations

Geolocation mapping APIs (Google Maps/Mapbox)
Payment gateway integration
Document verification services

System Performance Criteria

High-availability architecture for real-time operations
Military-grade data encryption for financial transactions
Scalable messaging infrastructure for concurrent users
Low-latency geolocation updates (<500ms response time)

Expected Business Outcomes

The platform will reduce operational overhead by 40% through automated order matching and document management, decrease communication delays by 60% via real-time chat integration, and improve route efficiency by 30% through intelligent geolocation grouping tools.