One view of cost, carbon, and risk across your entire supply base.

Mavarick benchmarks supplier performance on cost, carbon intensity, and data quality in one view, enabling sourcing decisions that reduce Scope 3 exposure while improving cost competitiveness

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Our Solutions

The Challenge

Why supplier risk stays hidden until it's too late.

Carbon intensity data from suppliers is incomplete, inconsistent, or missing entirely.

Without standardised data, you can't quantify cost exposure or make credible sourcing decisions.

Supplier submissions are inconsistent and error-prone, creating CSRD and Catena-X compliance risk.

Without BOM-level visibility, the highest-cost and highest-carbon components remain hidden.

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The Mavarick Solution

One view. Every supplier.
Cost, carbon, and risk.

Mavarick benchmarks your entire supply base on cost, carbon, and supply risk, surfacing sourcing decisions that reduce Scope 3 exposure and improve cost competitiveness. Supplier benchmarking, PCF intelligence, and cost optimisation in one platform.

How It Works

Ingest
Benchmark. Optimise.

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01

Ingest- Supplier performance data

Ingest cost, carbon intensity, and supply risk data across your entire supply base.

Capture BOM-level data for PCF calculation and product-level footprinting.

Validate submissions with AI-powered data quality checks.

02

Benchmark— AI-Powered Supplier Comparison

Side-by-side supplier comparisons on carbon intensity, and cost efficiency.

Anomalies and outliers flagged automatically, no manual analysis required.

Benchmark against industry standards and your own historical data.

03

Optimise — Sourcing Recommendations

AI recommendations to switch suppliers, materials, or logistics routes, with quantified carbon and cost impact.

Generate audit-ready PCFs for OEMs, regulators, and investors in Catena-X and PACT JSON formats.

Full traceability for every figure, assumption, and supplier submission.

Outcomes That Matter

PCFs you can trust, and your
customers will accept.

100%

BOM-level visibility across every product.

80%

Fewer errors in supplier submissions with AI validation.

5-10%

Cost savings identified by combining carbon + cost optimisation.

90%+

Reduction in manual data cleansing with AI-powered validation.