Five Global Product Compliance Trends Every Manufacturer Should Prepare For

The future will be defined by those who can turn complex product and supply-chain information into reliable decisions as requirements change

Product compliance is moving beyond certificates and restricted-substance checks. PFAS restrictions, digital product passports, artificial intelligence, supply-chain transparency, and sustainability increasingly require manufacturers to connect regulatory knowledge with reliable product, material, and supplier data.

From compliance documents to product intelligence

When I began working in electronics nearly three decades ago, environmental compliance was relatively linear: Identify a regulatory change, contact suppliers, review evidence, update product status, and retain the records. That model still matters, but it’s no longer enough.

Regulations increasingly ask questions that a finished-product certificate can’t answer. What substances are present inside a component? Where did a material come from? Can the product be repaired or recycled? What evidence supports a sustainability claim?

A bill of materials (BOM) identifies components but might not reveal the chemical composition of coatings, adhesives, or polymers. A supplier declaration is useful only if it’s current and linked to the correct part, supplier, and revision.

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Having spent over 20 years in the component supply chain management, Neeta Verma does a great job explaining older and new emerging supply chain challenges. As she notes, AI may assist but human experience and expertise will continue to be required for accuracy and accountability.

Thank you, Greg. I really…

Thank you, Greg. I really appreciate your perspective, especially given your extensive experience in component supply chain management. You’ve captured an important point from the article: AI can significantly improve the speed and scale of regulatory intelligence, but experience and human judgment remain essential for interpreting applicability, evidence, and accountability.

exempli gratia

A real-world example of dealing with this sort of complexity around changing regulations:

I was asked by a customer about the PFAS classification of PVDF in a part that I sold him. Looking at the idealised structure of PVDF (-CH2-CF2-CH2-CF2-), it did not strictly fit any of the three definitions that were in effect at the time. However, polymers in practice are not their idealised structures; as it is manufactured, PVDF contains some chain defects corresponding to the monomer adding itself to the chain backwards (so you get -CH2-CF2-CF2-CH2-), and because this results in adjacent CF2 groups, PVDF unambiguously satisfies the EPA's definition of PFAS.

I asked Microsoft Co-Pilot the same question, and while it was inclined to err on the side of saying that it was indeed PFAS, it couldn't cite the definition that it fit because it only analysed according to the idealised structure of the polymer.

As with so many things (like another "forever chemical" family, polychlorinated dibenzodioxins / dibenzofurans), the devil is in the details of the wonderful world of side reactions.

Thank you for sharing such a…

Thank you for sharing such a detailed real-world example. The PVDF case illustrates exactly why regulatory interpretation cannot stop at an idealized chemical structure or an AI-generated answer. Manufacturing realities, such as chain defects, can change the classification entirely.

This is a great reinforcement of one of my article’s key points: AI can accelerate the analysis, but the underlying regulatory definition and technical evidence still need to be evaluated and validated by someone with the right expertise. As you note, the devil is often in the technical details.