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Development of Real-Time Transport Management Platform with Collaborative Features

concisesoftware.com

Logistics

Information technology

Environmental Services

Challenges in Road Freight Logistics Management

Need for real-time route optimization based on live traffic data, improved collaboration between stakeholders, and structured access to shipment data to reduce operational costs, delivery times, and CO2 emissions

About the Client

Road freight logistics company leveraging data-driven technology to optimize transportation management and reduce environmental impact

Platform Development Goals

Create cloud-based transport management system with real-time routing capabilities
Enable data-driven decision making through structured shipment information access
Enhance collaboration between businesses, drivers, and technologies
Reduce operational costs and carbon footprint through optimized logistics

Core System Capabilities

Live routing with traffic/road closure integration
Shipment data dashboard (loading requirements, schedules, service times)
Collaboration tools for multi-stakeholder coordination
CO2 emission tracking and optimization algorithms
Historical data analysis for seasonal pattern recognition

Technology Stack Requirements

React micro frontends with Webpack 5 Modules Federation

GraphQL with Apollo client/server

Nest.JS backend framework

MongoDB and PostgreSQL databases

ElasticSearch for data indexing

AWS cloud infrastructure

Jest and Cypress for testing

External System Integrations

Real-time traffic data APIs (e.g., Google Maps, TomTom)
Road closure notification systems
Third-party logistics platforms
Environmental impact calculation APIs

System Performance Criteria

Real-time data processing with <500ms latency
Horizontal scalability for 10,000+ concurrent users
99.99% system availability SLA
GDPR-compliant data security measures
Cross-platform compatibility across devices

Expected Business Outcomes

Anticipated 20-30% reduction in fuel costs, 15-25% decrease in delivery times, and 35% improvement in CO2 emission tracking accuracy, with enhanced operational reliability through real-time data visibility and collaborative workflows