AI in Logistics and Production: When Does It Bring Measurable Value?

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What decides whether AI truly adds value for a company? And why is it often easier to produce a working pilot than to immediately expand a solution across factories? A panel at Trends in Automotive Logistics 2026 shared real-world experience with the use of AI and explored its limitations and potential for global deployment. Learn what approaches to artificial intelligence proved effective for industry leaders.

Exception management is becoming a daily reality in supply chains today. Artificial intelligence can help uncover problems more quickly and find solutions that keep production stable. For a functional pilot to become a tool used throughout a company, it must be accepted by the people in individual plants. Data quality, operational context and leadership support are all decisive.

Haresh Solanki (Inteva Products), Robert Cameron (VDA) and Bindioa Ouali (Safran Aircraft Engines) took part in the panel. The moderator for this debate, entitled “AI in Logistics and Production: Hype vs. Measurable Value,” was Aimtec’s own Pavel Boháč.

What did the panellists discuss?

• How AI helps companies analyse problems faster within a complex supply chain.
• Why AI needs reliable data, standardisation and operational context.
• How to tell whether AI is bringing your company tangible, measurable value.
• What roles leadership support and governance play when scaling AI.

The experts agreed: AI doesn’t eliminate the need for people and isn’t a universal solution. It delivers real value wherever it strengthens employees’ decision-making, works with high-quality data and has a clearly defined benefit for operations.

Watch the full panel discussion: