News Archiv
Content Development: New Workflow for Change Requests
With the update at the end of January 2026, ECLASS is introducing a new system that makes the creation, review, and approval of Change Requests (CR) significantly more efficient through intelligent automation and a new process structure.
Focus on components: Where are those 3 kg of Aluminum?
For recyclers, this information is crucial at the end of a product's life cycle. Read our latest news post to find out why a holistic view of an item is no longer sufficient and how ECLASS is enabling new business models through granular component data.
Ready for the DPP: New video demonstrates how ECLASS enables the Digital Product Passport
As the requirements for the Digital Product Passport (DPP) approach, many companies are asking the same question: How do we practically implement these regulatory mandates? A newly released video on our YouTube channel provides the answer.
D&TS and Fraport: ECLASS as the basis for efficient material master data
In its new success story, D&TS reports on the implementation of ECLASS at the operating company of Frankfurt Airport.
ECLASS Query Builder - Dynamic report generator for greater transparency and data quality
Starting in spring 2026, the ECLASS community will have access to an innovative tool that will make it significantly easier to analyze and further develop the standard: the ECLASS Query Builder.
Your optimum introduction to the world of standardized product data with ECLASS
Our introductory consulting service provides you with a concise and customized overview of the potential offered by standardized product information – and how your company can benefit from it.
Automated material data instead of manual maintenance
How ECLASS-based digital twins reduce process costs and enable interoperability
D&TS at the AAS Summit Austria 2026
D&TS is participating in the AAS Summit Austria 2026, where it will contribute its comprehensive expertise in the interaction between ECLASS, Asset Administration Shell (AAS), and digital master data processes.