Most Organisations Are Underestimating What This Actually Requires.

The EU Ecodesign for Sustainable Products Regulation doesn't ask for a document. It asks for a live, structured, machine-readable record of your product accessible to regulators, buyers, and consumers on demand.

Batteries are already in scope. Textiles follow. Then electronics, furniture, and beyond. And with each new product category comes updated data requirements, tighter verification standards, and less tolerance for compliance gaps.

The organisations that scramble when each deadline hits are the ones that treated DPP as a one-time deliverable. The ones that stay ahead built something extensible from the start. An infrastructure that absorbs new requirements without starting over.

Kruso has been working at the intersection of product data, platform architecture, and regulatory change long enough to know that the technical decisions you make in the first six months determine whether you're reactive or resilient for the next ten years.

We Don't Consult on DPP. We Build It.

Product data doesn't go missing, it hides. Spread across ERPs, PLMs, supplier portals and certification databases - it exists, but it was never built to move as one. That's the gap we close.

Our job is to connect those systems into a governed, auditable data model that becomes the backbone of your Digital Product Passport. That means designing for the full stakeholder surface from day one: the regulator who needs an immutable audit trail, the B2B buyer running an API query, the consumer scanning a QR code in a retail environment.

One model. One source of truth. No parallel pipelines, no duplicated maintenance, no brittle point-to-point integrations that break when a supplier changes their format.

We stay in the room through architecture, build, and delivery. Because a DPP that works in a whiteboard session but fails in your actual system landscape isn't a DPP - it's a liability.

The Implementation Guide. Not the Overview.

Most DPP content tells you what it is. This one tells you what to actually do — how to audit your current product data, where PIM fits into the architecture, and what real implementations look like in practice.

The guide covers the regulatory scope, a 3-step readiness framework, the role of PIM as your data backbone, and a real-world case from Fritz Hansen. Concrete, practical, and written for teams that are already past the awareness stage.