The Plastics Industry is entering a new phase of transformation. Cost pressure, skilled-worker shortages, increasing quality requirements, and growing operational complexity are pushing companies to rethink how they work. At the same time, AI, connected machinery, industrial data platforms, and automated workflows are opening up new opportunities to make processes more efficient and support employees in their daily work. But technology alone does not create value. For AI and Digitization to succeed, people need to be at the center. Digital solutions only create meaningful value when they take the real needs, challenges, experiences, and daily realities of the people using them seriously. This is especially important on the shopfloor, where technology ultimately has to prove its value.

User-centricity starts with understanding people

A common mistake in transformation projects is to start with the technology. Companies identify a new AI capability or digital solution and then look for ways to apply it. But the people working with machines and processes every day often see things differently. Operators, technicians, maintenance teams, and process engineers experience operational challenges firsthand. They know where information is missing, where processes create unnecessary friction, which problems occur repeatedly, and where experience makes a real difference. Much of this practical knowledge, however, is difficult to capture in a management presentation. User-centricity means first understanding what people actually need instead of assuming what technology should do. The goal is not to introduce technology for its own sake, but to address real problems and make everyday work easier, more reliable, and more effective.

Transformation requires an honest look at the organization

Transformation is often presented primarily as a technology challenge. Yet introducing AI or new digital systems can also reveal problems that have little to do with technology itself. Processes may be unnecessarily complex, responsibilities may be unclear, or information may be spread across different systems and teams. Employees may even rely on workarounds because existing processes do not fully reflect the reality of their work. This is why companies need to take an honest look at themselves during transformation. User-centricity can reveal where change is actually needed, and that change may involve more than implementing a new tool. Processes, responsibilities, or established ways of working may also need to evolve. The problem is not necessarily the technology. It is often the distance between the technology and the reality of the people it is supposed to support. Technology should therefore support transformation rather than simply digitize the status quo.

The shopfloor is the reality check

The real value of AI and Digitization becomes visible where the work actually happens: on the shopfloor. An AI assistant can process large amounts of information, a digital platform can connect different systems, and industrial data can improve transparency and support faster decisions. But if employees cannot use that information effectively, do not trust the results, or cannot see how the technology helps them with their daily challenges, its impact will remain limited.

The key question is therefore straightforward: Does the technology help people solve real problems?

For an operator, this might mean finding the right process information exactly when it is needed. For a technician, it could mean accessing relevant troubleshooting information without having to search through multiple systems. For a production team, it might mean turning complex data into clear information that supports a concrete decision. This is where user-centricity becomes more than a design principle. It becomes a fundamental requirement for successful transformation.

AI needs human context

AI can process information at a speed and scale that humans cannot match. But having access to more data does not automatically lead to better decisions. The value of AI depends on how well it connects with the context in which people actually work. In the Plastics Industry, this can include machine and production data, process parameters, quality information, maintenance history, technical documentation, and operational experience. Technology becomes truly valuable when it helps employees solve a specific problem in a specific situation. People do not necessarily need more data. They need relevant information that helps them understand what is happening, identify what matters, and decide what to do next.

Three principles for successful digitization

1. Understand people: Start with the needs, challenges, and experiences of the people who work with the processes every day. Their perspective helps identify where technology can create meaningful value.

2. Be honest about how the organization works: Look critically at processes, structures, responsibilities, and information flows.

3. Measure value where the work happens: Success becomes visible in everyday operations through faster problem solving, easier access to relevant information, reduced effort, and better decision-making.

The value comes from solving a real operational challenge, not from the technology alone.

The iDOO approach: People, industrial expertise, and technology

At iDOO, user-centricity starts with a simple principle: technology needs to serve the people who use it.

iDOO's understanding of the Plastics Industry comes from working closely with processes, machines, technologies, and, most importantly, the people working with them every day. This industrial perspective is combined with digital expertise and a clear understanding of what AI can make possible today.

The approach brings together three perspectives:

• People: Understand their needs, challenges, expectations, and daily reality.

• Industrial expertise: Understand the processes, context, and operational challenges behind those needs.

• Technology: Use AI, data, and digital solutions where they can genuinely support people and create measurable value.

This perspective also means challenging existing assumptions. Sometimes the biggest opportunity is not another digital solution, but understanding why a problem exists in the first place. The iDOO approach starts with people and operational reality, then identifies where AI and Digitization can make a meaningful difference.

People must be at the center

The future of the Plastics Industry will be shaped by AI, data, connected equipment, and intelligent software. But the success of this transformation ultimately depends on the people who work with these technologies every day. User-centricity means taking their needs and challenges seriously, understanding their daily reality, and using these insights to guide Digitization. It also means looking honestly at the organization and questioning processes and structures that no longer support the people working within them. When people are at the center, AI and Digitization have a stronger foundation for creating real value. That is what successful Digitization in the Plastics Industry is ultimately about: using technology to support people, strengthen operational capabilities, and solve the challenges that matter on the shopfloor.