Digital Product Passport

Consulting and Technical Implementation

Prepare your product data, processes, and systems for the Digital Product Passport. asioso provides support from analyzing your data landscape through the DPP architecture to the pilot and rollout.

Discuss the DPP Project

Digital Product Passport: Explained Simply

The Digital Product Passport provides structured product information in a digital and machine-readable format. The information that companies are required to provide depends on the product group and the applicable regulatory requirements.

For companies, this primarily involves a data and integration challenge: Relevant information must be consolidated, verified, and made available from ERP, PIM, PLM, DAM, supplier systems, and other sources.

→ Fundamentals, industries, and regulatory developments at digitalproduktpass.jetzt

The Digital Product Passport is, above all, a data and integration challenge

Many companies already have relevant product information—but it is scattered across different systems, departments, and suppliers. To create a scalable digital product passport, this data must be identified, structured, validated, and made available via appropriate interfaces.

Distributed Data Sources
Product information is stored in ERP, PIM, PLM, DAM, Excel, and supplier systems.

Unclear Data Quality
Required fields are missing, or information is inconsistent.

Lack of Clarity on Responsibilities
It is unclear who creates, verifies, and updates the data.

Lack of Integration
Data cannot be automatically exchanged between relevant systems.

Lack of Scalability
An initial DPP can be created manually—but not for thousands of products.

To find out which product groups are affected by regulations, please refer to the current industry overview

the digital product passport

Here's how asioso supports DPP implementation

DPP Readiness & Analyse

We review:
- Affected products
- Requirements
- Existing data
- Data sources
- System landscape
- Responsibilities
- Data gaps
Result: Gap analysis and prioritized DPP roadmap.

Data and Architecture Concept

We define:
- required data model
- relevant source systems
- data ownership
- interfaces
- integration architecture
- governance
Result: Target architecture and implementation plan.

DPP Pilot

Using a selected product group:

Merge data

Implement interfaces

- Test the DPP data model
- Implement data provisioning
- Validate processes
  
  Result: a functional pilot and insights for the rollout.

Who should consider our DPP consulting services?

Our consulting services are specifically designed for manufacturers and companies with complex product and supplier data, distributed system landscapes, or a large number of products and variants.

Manufacturing and Mechanical Engineering
Manufacturers of complex products
Retail and E-Commerce
Companies with extensive PIM/ERP landscapes
Companies with international supply chains

When should you contact us?

A DPP project with asioso is particularly beneficial if …

You don’t know what DPP-related data is already available.
Product data is spread across multiple systems.
PIM, ERP, PLM, and other systems need to be integrated.
You lack a data and governance strategy.
You want to launch a DPP pilot.
You need to scale an existing pilot to cover many products.

The DPP must integrate into your existing system environment

ERP
Business and Master Data

PIM / MDM
Structured Product Information

PLM
Product Development, Materials, and Bill of Materials

DAM
Documents, Certificates, and Media

Supplier Systems
Supplier and Material Information

DPP Platform / Interfaces
Data Provision and Exchange

asioso analyzes not only individual systems, but also the data flows between the involved applications.

Discuss the DPP Project

How Companies Benefit from Early DPP Preparation

Identifying Data Gaps Early

Don't wait until specific requirements take effect to react

Reduce integration costs

Determine early on which systems and interfaces are needed.

Avoid Manual Processes

Avoid manual processes; provide product information as automatically as possible.

Preparing DPP for Scalability

Don't just create a single passport; create a process for many products.

That's closer to the actual business case.

Preparing DPP for Scalability

Don't just create a single passport; create a process for many products.

That's closer to the actual business case.

FAQ

How do you start a DPP project with asioso?

A digital product passport is a type of digital ID for a product. It consolidates structured information on origin, materials, sustainability, compliance, and end-of-life management, making it digitally accessible throughout the entire value chain—usually via a QR code.

Which systems need to be integrated for the DPP?

A DPP project begins with an analysis of existing product data, systems, processes, and responsibilities. Together, we determine which products are affected, what information is already available, and where data gaps exist. This results in a prioritized roadmap for the data model, system integration, pilot, and rollout.

Do we absolutely need a PIM system for the DPP?

No. A PIM system is not a fundamental requirement for the Digital Product Passport. However, for extensive product portfolios and distributed data sources, a PIM can help centralize the structuring and maintenance of product information and make it available to other systems. The key is that the required data is complete, up-to-date, and reliably available.

What happens if our product data is spread across multiple systems?

This is the norm in many companies. In the first step, we identify the relevant data sources and review data quality, responsibilities, and interfaces. We then develop a plan for how the necessary information can be automatically consolidated and made available for the Digital Product Passport. The goal is a scalable solution rather than manual data consolidation.

Can asioso implement a DPP pilot program to start with?

Yes. A pilot project is often a sensible first step. To do this, a suitable product group is selected and used as a test case to determine which data, systems, and processes are required for the Digital Product Passport. The pilot project identifies data gaps and technical dependencies early on and creates a solid foundation for the subsequent rollout to other products.