ShipsGo at Transport Logistic 2025

In collaboration with İnci Radar, Fizix AI has successfully implemented a Proof of Concept (PoC) for İnci GS Yuasa focused on machine health monitoring through advanced sensor technology and real-time analytics.

The solution integrates a built-in processor and AI-driven software that continuously analyzes critical parameters, enabling comprehensive monitoring and early detection of potential issues.

Equipped with 3-axis vibration, acoustic emission, magnetic flux, and temperature sensors, the system provides multi-dimensional insights into machine performance, even under challenging environmental conditions.

Integrated Processor and Software: On-device data processing ensures instant and accurate analysis of critical metrics.

Multi-Sensor Capability: Combines vibration, acoustic, magnetic, and thermal data for holistic machine health assessment.

Real-Time Monitoring: Enables continuous tracking of equipment condition to prevent unexpected downtime.

Adaptability: Designed to perform effectively in various industrial environments.

By combining AI-powered analytics and sensor fusion, this innovative solution enhances predictive maintenance, improves operational reliability, and supports data-driven decision-making in industrial operations.

Detailed information about Fizix can be found on the website.

Held in Munich from 2-5 June, Transport Logistic is a global exhibition for logistics and supply chain. The ShipsGo team welcomed a diverse group of logistics experts, freight forwarders and technology partners. The event was memorable for exchanging ideas and building valuable connections to advance the industry.