Industry readiness is currently lacking, with many firms relying on manual, document-centric systems, making rapid adoption of scalable, tamper‑evident infrastructure essential to meet regulatory demands.

Real-world deployments and market projections support blockchain as a scalable solution, with examples like VeChain and OpenSC showing end-to-end traceability from raw materials to end users.

Additional examples illustrate blockchain-enabled sourcing verification and IoT-enabled traceability across industries, reinforcing feasibility and growth in supply-chain contexts.

A summary disclaimer notes the opinionated nature of the piece and advises it not as investment guidance.

The piece casts the DPP transition as a defining moment that will separate compliant firms from those excluded from key markets, urging rapid redesign of data infrastructure for transparent, auditable provenance.

Despite concerns about cost, the risk of non-compliance—market exclusion, fines, and reputational damage—far outweighs integration expenses, making blockchain-enabled interoperability a strategic advantage.

Current data practices—spreadsheets, siloed ERPs, and self-reported certifications—are inadequate for DPPs and will fail under regulatory scrutiny, risking fines and market exclusion.

Legacy systems create a compliance cliff due to their inability to provide tamper-proof, cross‑company data.

EU Digital Product Passports require machine-readable, auditable, multi‑party data by mid-2026, affecting hundreds of product categories and expanding to more by 2030.

DPPs will become law by July 19, 2026, driving demand for traceability and environmental data across the product lifecycle.

Blockchain is portrayed as essential infrastructure for DPPs, offering a shared, immutable data layer that preserves privacy via permissioned networks and privacy-preserving techniques like zero-knowledge proofs.

The author calls for immediate action to build tamper-evident, interoperable data systems to foster transparent, trustworthy supply chains.