Combining PIM & iPaaS to automate Digital Product Passports
The hard part of Digital Product Passports isn’t the QR code or the template—it’s turning product information into auditable, updateable product evidence. Most organizations already have the data somewhere, but DPP requires something stricter: you must know where each value came from, how it was calculated or transformed, and when it changed.
This is where the combination of PIM and iPaaS becomes more than “nice architecture.” A PIM helps govern the DPP attributes and serves as the product truth layer. But it can’t manufacture upstream facts on its own—material composition, supplier declarations, batch data, emissions calculations, and certificates live across PLM, ERP, suppliers, and external sources. An iPaaS (integration Platform as a Service) is what orchestrates those inputs into a repeatable system: integrating, transforming, validating, logging, and updating DPP-ready records without turning compliance into a manual spreadsheet ritual.
Let’s unpack what DPP includes, the specific role of PIM + iPaaS, the types of DPP data that typically belong in each system, and a practical flow for building a DPP data backbone that can scale across SKUs and future requirements.
What DPP data actually looks like in the real world
Digital Product Passport data points include material composition, supply chain origin, carbon footprint, and repair/recycling guidance. However, but the hidden complexity is that these values don’t behave the same way.
A useful way to think about DPP information is in three data types:
- Product master data (SKU-level “product truth”)
Specifications, materials declarations, technical attributes, care instructions, and structured sustainability fields. - Operational and supply chain data (often batch/lot-level and time-sensitive)
Sourcing details, certifications that expire, production locations, supplier statements, and logistics inputs that change over time. - Evidence and lineage (the “prove it” layer)
Certificates, calculation inputs, approvals, timestamps, plus the history of changes and transformations.
Most organizations plan only for type (1). DPP readiness breaks on type (2), and compliance risk lives in type (3). That’s why your architecture matters: you’re not just publishing product content—you’re maintaining product evidence.
PIM: The central repository for product truth
A Product Information Management (PIM) system is essential for maintaining the quality and consistency of product data. The role of PIM systems in DPP evolves from a being a mere marketing tool to a compliance engine.
PIM platforms like Akeneo, Pimcore, and Inriver allow businesses to centralize technical specifications and sustainability attributes. Instead of scattering environmental data across various files, a PIM system provides a single source of truth.
Key functions of PIM in DPP creation
- Attribute management: PIMs allow you to easily add new fields required by DPP regulations, such as “Recyclability Score” or “Carbon Footprint (kg CO₂e).”
- Data enrichment: Marketing teams can collaborate with compliance officers within the PIM to ensure that sustainability claims are accurate and backed by data.
- Multilingual support: As DPPs must often be available in multiple languages for different markets, PIM systems automate the translation and localization of technical data.
However, a PIM system cannot generate this data in a vacuum. It relies on inputs from manufacturing, engineering, and supply chain partners. This is where the integration layer becomes indispensable.








