CarbonMatch
Try it with a sample BOM (10 components)

CarbonMatch is an AI-driven environmental data matching tool, built upon a collaboration with the German Research Center for Artificial Intelligence (DFKI), that automatically connects your Bill of Materials (BOM) components to trusted lifecycle assessment (LCA) datasets like Ecoinvent – enabling fast, consistent, and auditable Product Carbon Footprint (PCF) calculations.
Accurate PCF calculation requires reliable emissions data for every component.
While supplier PCFs are improving, many components still lack primary data.
As a result, sustainability teams must manually match BOM components to secondary LCA datasets
– a slow, inconsistent, and unscalable process.
Upload Your BOM
Upload your Bill of Materials (XLSX). CarbonMatch extracts component IDs, names, and -if available- descriptions and material data.
AI Context Enrichment
The AI builds a clear component understanding by combining your BOM data with automated web research (e.g. technical datasheets and specifications), generating a robust semantic component description.
Environmental Data Matching
CarbonMatch performs a AI-based similarity search across verified LCA databases such as Ecoinvent and returns up to 5 ranked dataset matches per component.
Review, Confirm, or Rematch
Review suggestions, compare alternatives, or add missing information. If needed, trigger a rematch using your additional input to improve accuracy.
Reuse & Calculate
Confirmed matches are stored in a reusable component library. Existing components are matched automatically in future BOMs, enabling fast, consistent PCF calculation and audit-ready reporting.
Semantic matching beyond keywords for more accurate results
Understand match quality at a glance
No repeated matching work across products
Choose the dataset that fits your supply chain geography
Clear context for every match
Trace back all matches to original environmental data
Scale carbon matching across complex assemblies.
Handle complex, multi-material component structures at scale.
Match fabrics, dyes, coatings, and trims to LCA datasets reliably.
Reduce environmental data matching from weeks to hours
Ensure consistent PCF methodology across all products
Build long-term matching knowledge within your organization
Create audit-ready, traceable PCF inputs
Upload your BOM and see AI-powered matching in action.
Produkte
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