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Automated Wagon Tracking and Logistics Management System
  1. case
  2. Automated Wagon Tracking and Logistics Management System

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Automated Wagon Tracking and Logistics Management System

euvic.com
Manufacturing
Automotive
Construction
Consumer products & services

The Challenge

Manual tracking of train wagon compositions leads to time delays, human errors, and lack of real-time visibility in logistics operations. Current processes require physical employee presence at passthrough locations for data collection, increasing operational costs and reducing efficiency.

About the Client

Global leader in steel production for automotive, construction, packaging, and home appliance industries

Project Objectives

  • Automate wagon data capture and composition tracking
  • Enable real-time monitoring of moving train compositions
  • Reduce manual intervention and error rates in logistics processes
  • Improve operational efficiency through automated analytics

Key Features Delivered

  • Automated data reading from wagons using computer vision
  • Real-time tracking of moving train compositions
  • Microcredential issuance and management for system users
  • LMS integration for mass credential deployment
  • Email notification system for user alerts
  • Statistical dashboard for skill acquisition metrics

Technology Stack

Python
PyTorch
OpenCV
NumPy
Pandas
Sklearn

Integrations

  • Learning Management System (LMS)
  • Email notification service

Non-Functional Requirements

  • High-throughput processing for large-scale wagon data
  • Real-time tracking latency below 500ms
  • Data security for sensitive logistics information
  • Scalable architecture for global deployment

Project Impact

Expected reduction in manual tracking time by 70%, elimination of physical inspection requirements, and significant decrease in data errors. Real-time analytics capabilities will enable proactive logistics management and improve overall supply chain efficiency.

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