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Nexer and Stibo Systems launch AI solution for CBAM management

Nexer and Stibo Systems launch AI solution for CBAM management Nexer and Stibo Systems launch AI solution for CBAM management

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Key Moments

CBAM:s syfte och krav

CBAM införs för att motverka koldioxidläckage och kräver noggrann produktklassificering och rapportering från 2026.

AI-powered automation

Lösningen använder både unsupervised och supervised inlärning för att effektivt klassificera produkter och förbättra precision över tid.

Centralisering och kvalitetssäkring av data

Genom att skapa ett golden record centraliseras utsläppsdata vilket minskar fel och möjliggör bättre analys över hela leveranskedjan.

Strategisk värde av lösningen

Lösningen underlättar efterlevnad men är också en strategisk resurs för företag som vill leda inom hållbarhet och klimatansvar.

Nexer and Stibo Systems has developed an AI-powered solution to manage the complexity of reporting and compliance with the EU's new Carbon Border Adjustment Mechanism (CBAM)By integrating AI functionality with Stibo Systems' powerful MDM (Master Data Management) platform STEP offers companies a robust and strategic tool to collect, manage and report emissions data more efficiently.

CBAM – part of the EU's Green Deal

As part of EU Green Deal, an action plan for a sustainable economy in the EU, the CBAM aims to prevent carbon leakage and promote sustainable business practices by imposing a tax on carbon-intensive products manufactured outside the EU. The stringent requirements, including correct product classification, reporting of carbon emissions per product and purchasing carbon certificates, will become mandatory from 2026. The new regulation will pose significant operational and administrative challenges for global companies, whether it concerns the collection, management or sharing of emissions data.

Vår lösning handlar inte bara om att uppfylla regelkrav – den är en strategisk resurs för företag som vill positionera sig som ledare inom hållbarhet

Automated product classification with AI

To meet these challenges, the new solution, part of Sustainability Data Management offering, on Stibo Systems' STEP platform, has been developed with more advanced ML capabilities. The solution automates product classification through so-called unsupervised learning, where AI processes large amounts of data and suggests the most likely CN code when historical data is missing. As the data set grows, further improvements in supervised learning classification accuracy, ensuring that companies can meet compliance requirements with greater confidence and increased efficiency.

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More efficient reporting of carbon emissions

In addition to automated classification, the solution streamlines carbon emissions reporting by centralizing and quality-assuring sustainability data, reducing the risk of human error and administrative costs associated with manual collection. By centralizing and creating a so-called masters or a “golden record”, companies can also track and analyze emissions through and from entire supply chains. The increased transparency, that is, the access to more and better data, also enables business leaders to make more informed decisions and communicate what and how much they have achieved in the area with greater certainty to various stakeholders.

CBAM's impact on importers and suppliers

CBAM does not only impact importers. By providing verified and traceable data, the solution facilitates collaboration and ensures compliance, operational efficiency and increased competitiveness. With over a decade of partnership, Nexer and Stibo Systems combine their deep expertise in master data management and data-driven sustainability to deliver a solution that not only meets today's CBAM challenges, but also helps organizations prepare for future regulatory changes and work data-driven for a more sustainable business. The demand for more sustainable companies and products from both consumers and investors is increasing every day, which means that control over their climate footprint is a strategic issue that extends far beyond mere compliance.

AI and master data – a strategic resource

”Our solution is not just about meeting regulatory requirements – it is a strategic resource for companies that want to position themselves as leaders in sustainability,” says Jesper Leth, Director of Data Strategy and Product Management at Nexer. ”By integrating AI into Stibo Systems” STEP platform, we enable companies to navigate CBAM with both confidence and flexibility.”

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Questions Answered

Vad är CBAM och varför införs det?

En skatt på koldioxidintensiva produkter för att förhindra koldioxidläckage.

Hur hjälper AI-lösningen företag att hantera CBAM?

Genom automatiserad produktklassificering och centraliserad utsläppsrapportering.

Vilka konkreta utmaningar löser denna lösning?

Förenklar INSAMLING, hantering och delning av komplex utsläppsdata.

Vilket strategiskt värde har AI-integrationen i lösningen?

Den positionerar företag som hållbarhetsledare utöver efterlevnad.

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  • The IT industry Nordic technology media platform covering cybersecurity, cloud, AI, digital transformation, channel, MSP and enterprise IT news
    The IT industry is a leading Nordic technology media platform covering cybersecurity news, artificial intelligence, cloud computing, enterprise IT, digital transformation, managed services, channel partners, software development, telecommunications, data centers, IT infrastructure, technology leadership, business innovation, and emerging technologies. Through executive interviews, industry analysis, event coverage, thought leadership, product launches, vendor updates, and market insights, the IT industry connects technology decision-makers, CIOs, CISOs, CTOs, IT managers, MSPs, resellers, distributors, technology vendors, startups, and enterprise organizations across Sweden, Norway, Denmark, Finland, and Europe. Coverage includes cybersecurity trends, AI adoption, cloud strategy, enterprise software, networking, digital infrastructure, sustainability, compliance, governance, risk management, automation, data analytics, and future technology developments.
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