Why AI is now strategic for automotive suppliers
The use of artificial intelligence (AI) in manufacturing is rapidly increasing. Once seen as an experimental technology, it has now become a critical success factor for companies that want to stay competitive. For automotive suppliers, this translates into higher quality, lower costs, and greater predictability. In short, it’s time for action.
Pressure is rising
The manufacturing industry faces growing pressure. Labor shortages, increasing quality demands, rising costs, and sustainability goals require new approaches. Smart automation, strengthened by AI, now provides very concrete advantages within the automotive supply chain.
“AI not only increases efficiency but also makes processes more stable and predictable, crucial in a supply chain where reliability is key. We’re seeing more and more companies move from pilots to full-scale production,” says Jean Pierre Heijster, Program Manager Manufacturing & Materials at RAI Automotive Industry NL.
From visual inspection to self-learning planning
AI applications in manufacturing are diverse, including:
- Visual inspection: systems that detect scratches or defects on high-tech components faster and more accurately than the human eye.
- Smart assembly support: software that translates engineering data into clear work instructions for operators.
- Synthetic data: virtual product variants used to train AI models when physical data is limited.
- Generative AI for planning: automatic scheduling based on real-time data, available capacity, and order priorities.
AI requires digital maturity
AI only works effectively when a company’s digital foundation is solid. Without reliable, structured data, intelligent algorithms cannot function. Companies that have control over their data flows and processes benefit most from AI solutions. This begins on the shop floor, with data collection, process transparency, and user-friendly tools for operators.
“Start small where possible, but think strategically. AI is not just an IT project; it transforms how organizations and processes are structured and how companies collaborate within the supply chain,” explains Jean Pierre Heijster.
From experiment to strategy
The pioneering phase is over. AI solutions are increasingly becoming an integral part of production processes. This requires investment, collaboration, and strategic decision-making. The question is no longer if AI is necessary, but how you apply it within your organization.
“We see that more and more members are actively seeking knowledge, best practices, and partners,” says Jean Pierre Heijster. “Within the Manufacturing & Materials program, we increasingly facilitate meetings and collaborations focused on digitalization in the manufacturing industry.”
What does RAI Automotive Industry NL do?
RAI Automotive Industry NL supports its members through knowledge sharing, matchmaking, and visibility at the intersection of technology and digitalization. Through the Manufacturing & Materials program, developments in AI and smart production are addressed integrally, in collaboration with members such as Hexagon, ICT Group, DiManEx, FEV, Denso, and Sorama, companies that are leading in the practical application of AI within manufacturing.
Are you working with AI in your production environment, or considering your first step?
Get in touch with Jean Pierre Heijster to discuss opportunities, partnerships, and support.
Members actively involved in AI and Smart Manufacturing
1. Hexagon Manufacturing Intelligence B.V.
Develops solutions for data analytics, machine vision, and AI-driven quality control, with a strong focus on smart manufacturing and digital twins.
2. ICT Group (Automotive)
Specialist in industrial automation, embedded software, data analytics, and AI solutions for production environments.
3. TNO Traffic & Transport (and TNO Industry)
Active in AI, predictive maintenance, and digital twin applications within automotive and high-tech manufacturing.
4. Denso International Europe B.V.
Globally active in AI for process optimization, robotics, and quality assurance in the automotive supply chain.
5. FEV Netherlands BV
Uses simulation, data analysis, and AI models for the development and production of powertrains and battery technology.
6. Topic Embedded Projects B.V.
Specialized in embedded AI, machine learning, and vision systems for industrial applications.
7. DiManEx B.V.
Pioneer in digital supply chain management and predictive analytics using AI, tailored to manufacturing companies.
8. Sorama B.V.
Applies AI and acoustic cameras to visualize sound sources, valuable for quality control and R&D in manufacturing.
9. AutoForm Engineering B.V.
Applies AI and simulation for sheet metal forming, production optimization, and process prediction.
