
Untangling Two Programs, Two Datasets, and How Both Are Headed to a Unified Future




Most manufacturers know EPR and product compliance are not the same thing, but far fewer can draw a clean line between them. The programs overlap significantly: both respond to what you sell and where, both reach into your supply chain, and increasingly, they land on the same team to manage. That overlap is also what makes the confusion so persistent and so easy to leave unresolved until something goes wrong.
The confusion tends to center on data. EPR and product compliance both require information from your supply chain, but the nature of that data, where it comes from, and what it is used for are fundamentally different. EPR draws on operational data like product volumes, weights, material categories, and market registrations. Product compliance draws on substance-level data from your suppliers, such as declarations, Full Material Disclosures, and test reports. When teams don't have clarity about which data belongs to which program, the gaps show up in both.
But understanding the difference is only half of the picture. EPR and product compliance are converging through eco-modulation, Digital Product Passports, and an industry-wide shift toward integrated compliance management. The data decisions you make now will determine how well positioned you are as that convergence accelerates.
In this session, our regulatory experts will untangle the two programs, clarify what data each one actually requires, and look ahead at where both are heading, so your compliance program is built for today's obligations and tomorrow's requirements.
Where EPR and Product Compliance overlap
Managing both programs effectively
Where EPR and Product Compliance are heading

Join Source Intelligence EPR and Product Compliance experts for a practical discussion on how teams can reduce manual work, streamline supplier data collection, centralize documentation, and respond faster to customer compliance requests.



Learn how to untangle EPR and Product Compliance, their datasets, and prepare for their unified future.