Antagosoft — Case Study
Date2021-2022
LocationEastern Europe

Terminal
Control

A unified Rail Terminal Management System. We integrated Digital Twins, IoT tracking, and RPA to eliminate manual errors and optimize yard operations.

Rail Terminal Management — Digital Twin, IoT tracking, and predictive AI dashboard

The Challenge

Rail operations suffer from blind spots. Manual wagon tracking causes delays. Improper yard allocation bleeds fuel and capital.

The client needed immediate, structural oversight. We built a core system from scratch, replacing fragmented spreadsheets with live IoT sensors, predictive AI, and a fully interactive 3D digital twin of the terminal.

Core Modules

We automated tendering and document routing. We rendered the rail yard in 3D, allowing operators to oversee cargo loads instantly.

01Yard Ops
Digital Twin interface

Digital Twin

A live 3D replica of the rail yard. Operators monitor wagon locations visually, reacting to IoT data feeds instantly.

02Allocation
Smart Tendering interface

Smart Tendering

Automated cargo allocation matches shipment requests with available carriers, minimizing idle time entirely.

03Maintenance
AI Predictive Maintenance interface

AI Predictive Maintenance

Sensor data predicts wheel and brake wear. The system schedules repairs before failures happen.

The Impact

System efficiency gains recorded post-deployment.

Training Time-40%

New dispatchers learned the system in days, not weeks. The digital twin replaced classroom simulations.

Yard VisibilityLive

Operators see every wagon, every track, in real time. No more radio check-ins or spreadsheet updates.

AllocationAuto

The system assigns wagons to routes based on weight, destination, and availability. Humans approve, not calculate.

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