Digital product passport obligations are accelerating investment, but uneven supplier data readiness and manual workflows threaten compliance economics. As EU deadlines approach, procurement functions face mounting pressure to secure traceability, govern risk and stabilise cost under tightening trade conditions.
Budgets are Moving, But Supplier Data Lags
Most large manufacturers and brands have now earmarked funding to prepare for the EU’s 2027 digital product passport regime, and more than half report that implementation programmes are underway or close to completion. Yet supplier data remains the critical bottleneck: fewer than six in ten supply chain leaders say even half of their tier 1 partners have confirmed they can deliver DPP-compliant information on time, and full compliance will ultimately depend on verified inputs from deeper tiers.
Traceability beyond immediate suppliers is still patchy. Only around a third of respondents say they can follow material origin reliably to the raw material or extraction stage, leaving two-thirds exposed to blind spots before tier 4. Just a small minority cannot see past tier 1 at all, but the gap between visibility in theory and data at regulatory standard is widening as the volume and granularity of product, material and emissions attributes expand under EU sustainability rules.
Technology integration is now a bigger barrier than regulatory clarity. More executives cite IT and systems issues as the main obstacle to DPP readiness than those who point to uncertainty over final rulemaking, suggesting that policy direction is sufficiently clear for architecture work to begin. However, many organisations still run fragmented supplier masters, contract repositories and product data schemas across business units, making it difficult to create a single, decision-grade record that can flow into passport disclosures and audit trails.
Manual Translation Costs and Compliance Blind Spots
The operational burden of converting supplier information into submission-ready formats is already material. Close to seven in ten respondents say their compliance or supply teams devote at least 11 hours each week to reworking spreadsheets, PDFs and unstructured documentation, and only a small share report fully integrated workflows that eliminate this translation layer. For procurement, that is more than a working day of skilled effort spent on formatting, not on improving contracts, coverage or supplier economics.
These inefficiencies intersect with growing regulatory and trade risk. Nearly two in ten executives say they lack clarity on which suppliers create the greatest compliance exposure, while roughly one in five cite real-time disruption visibility as their single largest blind spot. This combination increases the probability of late non-conformities, missed disclosure updates and unanticipated allocation or quality issues originating in upstream tiers that are poorly mapped to products and contracts.
Recent tariff and trade developments further complicate the picture. Almost four in ten respondents say new or changing duties and trade rules significantly interfere with DPP planning, forcing sourcing teams to balance origin shifts, preferential trade agreements and carbon-related measures with the need for stable, auditable product histories. Industry data on customs disputes and origin reclassifications already shows that documentation weaknesses can translate into back-duties, penalties or shipment delays, which in a DPP environment could also surface as inconsistencies in declared content and footprint.
From a commercial standpoint, these dynamics risk eroding the value of early DPP investments. Where supplier data cannot be standardised at scale, buying organisations may be pushed toward narrower supplier sets that can meet traceability demands, increasing concentration risk and reducing price leverage. Conversely, where suppliers struggle to absorb data and systems costs, those pressures are likely to feed into renegotiations, indexation mechanisms or minimum-volume commitments.
Hidden Exposure: Data Quality as a Pricing Variable
One under-appreciated consequence of DPP is the way data quality will start to influence price formation and contract structure. As verified origin and attribute data become mandatory for market access, suppliers able to deliver accurate, automated passport inputs will have a stronger case for premium terms, while buyers that tolerate incomplete or manually assembled datasets may face higher variance in duties, non-compliance remediation costs and margin. Treating passport-grade data as an explicit commercial variable in sourcing events, rather than a back-office compliance issue, is likely to determine which side of that equation captures the value.