Asset Administration Shell (AAS)

Get your product data in shape –
and your DPP up and running.

Digital Product Passports

The Digital Product Passport (DPP) is the digital representation of a product – with all relevant information throughout its life cycle:

  • Materials & origin
  • CO₂ balance & recyclability
  • Manufacturing & logistics data

It creates:

  • Transparency in the supply chain
  • Regulatory compliance, e.g., with the EU Ecodesign Regulation (ESPR)
  • Efficient data exchange across company boundaries

Get your product data in shape – and your DPP up and running.

With AAS as your central repository, you can orchestrate information about lifecycle, value creation, and compliance.

The Asset Administration Shell (AAS) is the established standard for providing product and asset information in a structured, machine-readable, and interoperable format.

For Digital Product Passports (DPP), this means that data from engineering, production, supply chain, use, and return is consolidated into a consistent digital representation that can be traced throughout the entire lifecycle.

BloqSens supports you in designing and implementing AAS as a central data repository:
with suitable submodels, clear responsibilities, resilient interfaces, and an integration strategy that takes realistic data sources into account – not just idealized images.

  • DPP data is scattered across PLM/ERP/MES, Excel, and supplier portals – without any consistent structure.
  • Interoperability fails due to different data models, identifiers, and a lack of governance.
  • Pilot projects work, but rollout fails due to scaling, data quality, and ownership issues.
  • Evidence (e.g., material data, CO₂, reparability) is not linked in an auditable manner.

Structure instead of data silos:
Benefit from AAS as a single source of product truth.

With AAS, you create a standardized “container principle”:

Many systems feed in data – AAS turns this into a consistent, exportable product view that can reliably serve DPP portals, partners, and data spaces.

Our focus is on AAS in the context of digital product passports:

We build structures that reliably serve the product passport – with clear semantics, consistent identifiers, and robust data flows.

AAS Strategy & Architecture

We work with you to define the target vision, scope, and architectural principles:

  • AAS role model (owner, provider, consumer) & responsibilities
  • Data map (sources, master, events, evidence)
  • Identification & reference concept (IDs, serialization, relationships)
  • Integration strategy (APIs, eventing, data spaces, access models)

Submodel Engineering for DPP

We translate DPP requirements into clean submodel structures:

  • Submodel design, namespaces, versioning
  • Semantics, classifications, validation rules
  • Mapping of company data to AAS structures
  • Templates, sample instances, quality gates

Implementation & Integration

We accompany the implementation through to the productive data chain:

  • Repository/registry design & interfaces
  • Connection of PLM/ERP/MES/IoT/partner feeds
  • Automated data provision for DPP front ends
  • Operating and scaling concepts (monitoring, logging, security)

Governance, Compliance, and Auditability

Ensuring the long-term viability of AAS/DPP:

  • Data governance (ownership, approvals, change processes)
  • Evidence management and traceability across lifecycle data
  • Security by design (access, multi-tenancy, provenance)
  • Documentation for audits, partner requirements, and rollout

Start the AAS Readiness Check

Let’s clarify the scope, data sources, and the fastest pilot path.

You will receive a clear recommendation: architecture path, effort, next steps.

Call us at +41 32 510 09 81
or write to us at info@bloqsens.com.

What are the specific benefits of AAS for DPP?

AAS provides a standardized structure for consistently delivering product data from different systems—machine-readable, versionable, and interoperable, ideal as a backend for DPP portals and partner access.

Do we have to “store everything in AAS”?

No. In practice, AAS is often a curated repository or orchestration layer: references, harmonized core data, and evidence—supplemented by links/connectors to source systems.

How do you get started in a meaningful way?

With a clearly defined use case (product group, market, data requirements) and a submodel set that covers the most important DPP data. Then expand iteratively: data quality, scaling, partner integration.

For any inquiries please email to

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