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Comprehensive Realtime Transport Management System for Logistics Optimization
  1. case
  2. Comprehensive Realtime Transport Management System for Logistics Optimization

Comprehensive Realtime Transport Management System for Logistics Optimization

dac.digital
Logistics
Supply Chain
Transport

Challenges in Transport Resource Management and Monitoring

The client faces difficulties in effectively managing transport resources, monitoring ongoing transport activities, and optimizing route planning. These issues lead to increased operational costs, inefficiencies in fleet utilization, and extended planning times, hindering responsiveness and scalability in a competitive logistics market.

About the Client

A large-scale logistics company managing a fleet of transport vehicles and personnel across multiple regions, aiming to optimize resource utilization and operational efficiency.

Goals for Enhancing Transport Operations Efficiency

  • Reduce total kilometers traveled by approximately 20%, leading to cost savings.
  • Lower overall transportation costs by up to 30%.
  • Decrease transport planning time by at least 50%, improving agility.
  • Enable rapid onboarding of drivers and staff, reducing induction training time by up to 80%.
  • Provide real-time monitoring accessible to staff for improved decision-making and operational oversight.

Core Functional Capabilities for the Transportation Management System

  • Map editing capabilities, including addition of new roads and marking of unavailable routes.
  • Input management for supplier locations, including volume data and delivery schedules.
  • Fleet management module to identify vehicle capacities, compartments, and trailer attachments.
  • Route and milk collection planning optimization based on vehicle capabilities and supply data.
  • Vehicle registry management to facilitate maintenance and periodic cost settlements.
  • Real-time transport activity monitoring dashboard showing fleet status, driver locations, route progress, and delivery stages.
  • Support for onboard system integration with IoT devices for live data collection and monitoring.
  • User access controls and driver rotation management to improve resource utilization.

Technology Stack and Architectural Preferences

React JS
Angular
Cloud Platforms (e.g., AWS) for scalable deployment
C++ for system performance-critical components
API-centric architecture for integration

Necessary External System Integrations

  • IoT devices for real-time vehicle and environment data collection
  • Mapping and GIS services for dynamic map editing and route management
  • Fleet management and maintenance systems
  • Supplier and delivery point databases

Critical System Performance and Security Requirements

  • High scalability to support large fleet operations with real-time data processing.
  • Low latency for live transport monitoring dashboards.
  • Robust data security and compliance, especially for real-time IoT data transmission.
  • High availability and system uptime to ensure continuous operations.

Expected Business Benefits and Operational Improvements

The implementation of an advanced, real-time transport management system is projected to decrease total kilometers traveled by approximately 20%, resulting in significant cost savings. Overall transportation costs could be reduced by up to 30%, with a 50% reduction in planning time, and driver onboarding time decreased by up to 80%, greatly enhancing operational efficiency and responsiveness in complex logistics environments.

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