Digital Product Passport consulting and implementation without platform theatre
DPP consulting and technical implementation for companies that need to connect product data, evidence and systems into a maintainable Digital Product Passport.
How the work starts
We start with product groups, source systems, responsibilities and a small pilot scope—not a platform demo.
This page explores one part of the Digital Product Passport. For implementation, the DPP data model connects product identity, fields, evidence and access rights.
What actually matters
The data chain matters more than the interface
A DPP is not an isolated QR code and rarely a software-only project. It is a versioned data product with stable identity, evidence-backed claims, access rules and an operating model.
- Scope
- Clarify product groups, legal acts and granularity first.
- Data
- Assign PIM, ERP, PLM, commerce and supplier sources explicitly.
- Operations
- Design ownership, approvals, versioning and exit options.
When external DPP support is useful
External support is most useful when regulatory scope, system architecture and data ownership must be resolved together. Common starting points include a planned pilot, an active vendor selection, scattered supplier evidence or a PIM/ERP programme that should account for DPP requirements from the beginning.
What the work should produce
a prioritised product-group scope instead of a generic DPP solution;
a documented data model with sources, owners, evidence and quality rules;
a target architecture for identifiers, resolution, APIs, storage and access rights;
a pilot with acceptance criteria and a route into operations;
a defensible build, buy or hybrid decision.
To structure the work first, use the DPP data model guide and the implementation roadmap. The Digital Product Passport overview connects the legal and technical guides.
Start small, scale on evidence
A pragmatic route from scope to an operating DPP
The exact scope depends on the product group and system landscape. The sequence is usually similar.
1. Clarify scope and readiness
Define products, legal acts, granularity, stakeholders and existing identifiers. Keep unresolved assumptions visible.
2. Design the data model and architecture
Document fields, sources, evidence, owners, access rights and quality rules as a versioned contract.
3. Build the pilot and secure operations
Run one representative product through the chain from source and approval to identifier, DPP view and API.
Frequently asked questions about DPP consulting
Short answers on scope, software selection and delivery.
Turn DPP requirements into an implementable scope.
The first conversation defines the product group, starting point and smallest useful decision. If no project is warranted yet, we will say so clearly.