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Development of a Real-Time Transport Management Platform for Enhanced Logistics Optimization
  1. case
  2. Development of a Real-Time Transport Management Platform for Enhanced Logistics Optimization

Development of a Real-Time Transport Management Platform for Enhanced Logistics Optimization

concisesoftware.com
Logistics
Supply Chain
Transport

Identified Challenges in Road Freight Logistics Efficiency and Transparency

The company faces difficulties in minimizing transportation costs, reducing delivery times, and lowering CO2 emissions due to fragmented data sources, lack of real-time routing insights, and limited shipment visibility, hindering effective collaboration among stakeholders.

About the Client

A mid to large-sized logistics company seeking to enhance route planning, shipment visibility, and operational efficiency through advanced software solutions.

Goals for Building an Advanced, Data-Driven Transportation Management System

  • Develop a cloud-based Transport Management Platform providing real-time routing data based on current traffic reports and road closures to enable precise route planning.
  • Implement functionalities for quick access to structured shipment data, including loading requirements, timing details, and seasonal considerations.
  • Enhance transparency and collaboration across logistics stakeholders to optimize efficiency and sustainability.
  • Achieve measurable reductions in transportation costs, delivery times, and CO2 emissions through improved operational decision-making.

Core Functional Capabilities for the Transport Management Platform

  • Real-time routing data integration based on traffic conditions and road closures.
  • Structured data access for individual shipments, covering loading needs, timing, service requirements, and seasonality.
  • Seamless integration capability to connect with existing logistics and traffic data systems.
  • User-friendly dashboards for visualizing routes and shipment statuses.
  • Role-based access controls to ensure data security and appropriate stakeholder collaboration.
  • Analytics modules to monitor operational performance and environmental impact metrics.

Technology Stack and Architectural Preferences

React with micro frontends using Webpack 5 Modules Federation Plugin
GraphQL with Apollo Client for data queries
Apollo Server for GraphQL API implementation
NestJS as backend framework
MongoDB for NoSQL storage
PostgreSQL for relational data management
ElasticSearch for advanced search capabilities
AWS cloud infrastructure
Testing frameworks: Jest and Cypress

Essential System Integrations for Comprehensive Functionality

  • Traffic and road closure data feeds for live routing updates
  • Existing logistics management systems for shipment details
  • Mapping and GPS services for route visualization
  • Environmental data sources for emissions tracking

Performance, Security, and Scalability Expectations

  • Platform must support at least 500 concurrent users with scalable architecture
  • Real-time data updates with latency under 2 seconds
  • Robust security protocols compliant with industry standards
  • High system availability (99.9% uptime)
  • Data privacy and access controls based on user roles

Anticipated Business Benefits of the Logistics Optimization Platform

The implementation of the platform is expected to significantly improve route precision, resulting in reduced transportation costs, shorter delivery times, and lower CO2 emissions. Enhanced shipment visibility and stakeholder collaboration will foster increased operational efficiency and sustainability, positively impacting overall service reliability and environmental footprint.

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