AI integration in I-GV systems: how it works and what it means for your production?

​​​Everyone's talking about Artificial Intelligence lately and for good reason. In industrial facilities, it's already at work: processing operational data, applying advanced algorithms and supporting decisions that traditionally required manual calculation and rigid programming.

For ceramic manufacturers, its impact is tangible in material handling, where heavy loads must move seamlessly between production stages. Even small delays create a chain reaction across the line. By integrating AI, layouts are generated with greater precision, commissioning is faster and setup errors are reduced.

System Ceramics is investigating how AI integration could extend the capabilities of its Intelligent Guided Vehicles (I-GV), moving beyond standard operational functions.

With AI-driven models, optimized routes deploy faster

The configuration of guided vehicles has traditionally demanded extensive manual setup and detailed planning. Each layout depends on safety rules, shared spaces and the type of load being transported. Pre-trained AI models may allow I-GV to process operational data together with established parameters, identifying more effective layout solutions within static routes and enabling faster configuration to match production requirements.

This capability accelerates layout development, shortens commissioning times and stabilizes navigation even in demanding conditions. Human error during configuration decreases, vehicles are distributed more effectively across clusters and circulation follows a smoother rhythm. For ceramic plants, where the uninterrupted movement of heavy materials is essential, these improvements directly influence reliability and efficiency across the entire line.

It is in this domain that the value of an AI application for intelligent guided vehicles becomes particularly clear: by optimizing predefined trajectories, the system ensures stability while significantly reducing engineering hours.

And with AI coordination, fleets operate safely in shared spaces

Intralogistics systems operate in spaces where people, machines and multiple vehicles coexist. Managing this environment requires navigation rules that guarantee safety and provide clarity.​ ​

I-GV systems supported by AI can apply cluster-based circulation principles, helping to maintain orderly flows through predefined rules. Operators benefit from clear and consistent feedback on the system’s status, improving coordination and supporting daily operations.

The initial configuration requires advanced technical knowledge, particularly because constraints often emerge during commissioning, when real operating conditions reveal the complexity of routes. Yet once layout rules are defined, the system operates stably and supports long-term reliability. This means fewer interruptions, more fluent fleet management and a production flow that stays closer to its targets. In practice, the system does not simply automate transport, it creates a framework where people and vehicles move in sync.

​​​What are the specific challenges for the ceramic industry?

The ceramic sector has traditionally been marked by stability and well-established production models. This solid foundation ensures reliability, but also makes the introduction of new digital technologies—especially those based on Artificial Intelligence—more challenging. Change tends to advance gradually, in small, carefully measured steps that safeguard the consistency of processes.

Within this context, implementing AI requires not only technical expertise but also a cultural shift: planning, training, and integration must evolve at the same rhythm as production itself.

System Ceramics is progressively working to bridge this gap, aligning innovation with the pace of the market and supporting manufacturers in a transition that combines reliability with forward-looking solutions.

Exploring the potential of Artificial Intelligence

System Ceramics is currently exploring how Artificial Intelligence could enhance its technologies, as for example through Intelligent Guided Vehicles (I-GV).

In parallel, attention is also directed toward future developments involving vision systems, tracking technologies and auto-scanning tools, conceived to interact with advanced AI models capable of analyzing operational data and adapting to the plant’s flow.

By investigating these directions, System Ceramics aims to understand how Artificial Intelligence can gradually contribute to greater efficiency, precision and competitiveness, while remaining consistent with the distinctive pace of the ceramic industry.

How Artificial Intelligence can enhance competitive intralogistics

Artificial Intelligence applied to I-GV demonstrates how industrial logistics can evolve towards greater autonomy and efficiency while maintaining stability and safety. Navigation becomes quicker to configure, commissioning is accelerated and human error is reduced. Fleets move with greater fluency, operators benefit from clearer feedback and production relies on a logistics flow that sustains continuity.

Each step requires commitment, technical expertise and perseverance, yet in a competitive environment where progress is measured in small but decisive increments, these efforts generate lasting impact.

This perspective confirms how an AI application for intelligent guided vehicles is not limited to immediate improvements, but also opens the way for predictive and adaptive capabilities that will define the future of intralogistics.

System Ceramics continues to enhance its intralogistics technologies to create safer, smoother and more efficient production flows.

Discover more about Intelligent Guided Vehicles (I-GV) and their role in modern ceramic manufacturing.