Customers (OEMs, regulators, buyers) demand PCFs, but suppliers often lack consistent methodologies.
Product footprints vary by boundary, allocation method, or emission factor source — making them incomparable.
Data gaps force manufacturers to fall back on generic averages, undermining credibility.
Without BOM-level visibility, hot spots within products remain hidden.
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Mavarick consolidates supplier PCF data, fills unavoidable gaps with AI-driven estimates, and applies consistent system boundaries and allocation methods. The result: standardised, comparable product footprints that meet customer requirements (Catena-X, PACT JSON, ISO 14067) and support credible decision-making.
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Ingest supplier-calculated PCFs in Catena-X/PACT JSON formats.
Capture BOM-level data, including materials, energy, and transport.
Validate submissions with AI-powered data checks.
Apply consistent system boundaries (cradle-to-gate, cradle-to-grave).
Align allocation and emission factors across suppliers.
Ensure comparability across suppliers and categories.
Generate customer-ready PCFs for OEMs, regulators, or investors.
Export in Catena-X and PACT JSON formats.
Provide audit trails showing how PCFs were calculated and validated.
AI-driven emissions reduction delivering smarter operations and proven savings.
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AI-driven emissions reduction delivering smarter operations and proven savings.
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