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Development of an Advanced Transport Management and Optimization System
  1. case
  2. Development of an Advanced Transport Management and Optimization System

Development of an Advanced Transport Management and Optimization System

coreteka.com
Logistics
Supply Chain

Logistics Company Challenges: Inefficient Routing and Excessive Emissions

A logistics organization with high truck mileage experiences significant inefficiencies, including 17% empty truck runs, leading to increased costs and environmental impact with approximately 85,320 tonnes of CO2 emissions annually. They require a system to streamline logistics, minimize emissions, and reduce operational paperwork through real-time data exchange and route optimization.

About the Client

A mid to large-sized logistics company aiming to optimize freight operations, reduce emissions, and improve real-time tracking and documentation processes across its transportation network.

Goals for Transportation Management System Development

  • Implement an integrated TMS to automate transportation request creation, editing, and management.
  • Enable real-time vehicle tracking and route monitoring using GPS technology.
  • Reduce empty truck mileage by optimizing route planning, aiming for at least a 1.2% reduction in CO2 emissions.
  • Automate documentation and communication workflows to decrease paperwork and manual errors.
  • Facilitate seamless integration with existing enterprise and supply chain systems for end-to-end visibility.
  • Improve operational efficiency by at least 2% through optimized logistics processes.

Core Functional Specifications for the Transport Management System

  • User interfaces for creating and editing transportation requests using pre-defined templates or custom parameters based on kilometer or hourly rates.
  • A Carrier Selection Module allowing logistics specialists to view, negotiate, and assign requests to appropriate carriers.
  • Real-time GPS tracking integrated with route visualization for vehicle monitoring and delay notifications.
  • Automated document generation and attachment for transportation operations, including loading/unloading details and delivery confirmations.
  • Workplace modules for warehouse operators to manage cargo movement, track loading/unloading times, and receive ETA updates.
  • Notification system for delays, route deviations, and completion alerts to relevant stakeholders.
  • A knowledgebase for routes, road conditions, and carrier information to optimize logistics planning and decision-making.

Technological Foundations and Architecture Preferences

Java 8 or later for backend development.
React JS for frontend user interface development.
AWS cloud infrastructure for deployment and scalability.
GPS integration for real-time vehicle tracking.
Secure database solutions to safeguard transportation and user data.

Essential System Integrations for End-to-End Supply Chain Visibility

  • ERP systems for order and financial management.
  • WMS for warehouse and cargo handling data.
  • GPS providers for live vehicle location tracking.
  • Third-party carrier management and payment systems.

Performance, Security, and Scalability Expectations

  • System must support millions of annual truck kilometers with sub-second response times for tracking and request processing.
  • High availability architecture ensuring 99.9% uptime.
  • Robust security measures complying with transportation and data protection regulations.
  • User-friendly interface designed for quick, intuitive workflows to minimize training time.

Business Benefits and Success Metrics for the New System

The implementation of this advanced TMS is projected to reduce operational costs by optimizing logistics and decreasing empty mileage by over 1.2%, leading to a corresponding reduction of approximately 1.2% in CO2 emissions, and improving overall process efficiency by at least 2%. Enhanced real-time data and automated documentation aim to boost productivity, compliance, and customer satisfaction across the supply chain.

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