The Digital Product Passport is Coming: What Manufacturers and Economic Operators Need to Know Now
The Digital Product Passport is becoming a regulatory requirement for products placed on the EU market, starting with batteries in February 2027 and expanding through 2030. In this 30-minute session, IndX and Siemens walk through what the DPP requires, who it affects, and how to begin preparing your product data and systems before the compliance deadline.
The Digital Product Passport will become a regulatory requirement for products placed on the EU market, starting with batteries in February 2027 and expanding to a broader set of industries through 2030.
In our experience, DPP implementation typically takes at least 12 months. It is multidisciplinary, touches multiple levels of the supply chain, and requires data to be received, processed, and aligned across partners. The work to prepare needs to start well before the deadline is close.
What we'll cover
From Battery Passport to DPP: what the broader scope means for you
Who it targets: economic operators, OEMs, and market entities
Industry timeline: batteries from 2027, more sectors through 2030
What to have in place during the EU compliance window
Live demo: DPP product and data models in Siemens
Next steps: solution and data strategy, supplier onboarding, and system integration
Q&A with our speakers
Who should attend
This session is built for economic operators, OEMs, and market entities placing products on the EU market, along with the compliance, supply chain, quality, engineering, and IT leaders responsible for aligning product data across partners.
Hosted by IndX and Siemens
IndX partners with organizations to define and execute digital transformation strategies that deliver measurable business outcomes. As a certified Siemens Digital Industries Software reseller, solution provider, and system integrator, IndX delivers end-to-end solutions across product engineering, manufacturing, and supply chain. In this session, our experts walk through the DPP product and data models in Siemens and show what readiness looks like in practice.
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