How to prepare product data for DPP implementation

Implementing a Digital Product Passport (DPP) doesn't start with choosing a technology platform. It starts with a fundamental question: do we really know what product data we have?

With the progressive introduction of جوازات سفر المنتجات الرقمية, more and more companies are considering how to adapt to the new transparency, traceability, and sustainability requirements introduced by the European Union.

In this context, companies often focus their initial efforts on finding technological solutions to create and manage DPPs. However, there is an essential step that comes first: identifying what information is already available, what is missing, and how to structure it effectively.

Choosing the right platform is important, but for a DPP to deliver real value, the data behind it must be identified, organized, and ready to use.

Before selecting a technological solution, companies should assess their current data situation. Some organisations already have advanced management systems, while others still need to determine what information to collect and how to organise it.

Preparation can be carried out internally, with specialist support, or through tools and methodologies designed to identify and structure relevant information. The objective is always the same: to establish an organised, consistent and reliable data foundation.

What makes this approach valuable is not simply the ability to display product information digitally, but the possibility of connecting different sources of data through a common product identity. This helps transform information that would otherwise remain fragmented into a more accessible and useful resource for businesses and other stakeholders.

عند ممر دائري, we understand that before implementing a Digital Product Passport, companies need to assess their starting point and understand the current state of their product data.

That's why, through our إيزي تراك program, we guide organizations through this initial process, from analyzing their existing information to developing a first functional DPP prototype.

The program is structured into five stages:

In addition to this support, companies can also use external frameworks to guide their initial assessment of product information and identify opportunities for improvement.

One example is the DiPPa™ Framework, a practical methodology developed by Marion Rouzeaud from her book, DiPPa: Rethinking the Way We Buy Things with Digital Product Passports, which draws on research, interviews, and exchanges with over 60 experts and industry stakeholders.

The framework goes beyond simply identifying and structuring product data. It starts by understanding business objectives and customer priorities, helping organizations determine what truly matters before translating these priorities into meaningful data requirements and opportunities for product innovation and transformation.

To see how the methodology can be applied in practice, explore the DiPPa™ Framework use cases developed in collaboration with Blue Room Innovation, covering precast concrete panels, structural steel reuse, and plastic packaging.

These examples show how a structured approach can help connect business priorities, product information, and opportunities for circular innovation.

Regardless of the methodology used, what matters most is ensuring that product data is properly structured and ready to be integrated into a technological solution such as CircularPass.

Preparing product data is essential for implementing a DPP, but it is also an opportunity to improve information management, strengthen traceability and support circularity.

CircularPass guides companies from data analysis and structuring through to the implementation of their Digital Product Passports.