From invisible gaps to complete supplier emissions coverage.
AI gap-mapping and predictive modelling fill missing data and give you a full picture of your supply chain.
AI gap-mapping and predictive modelling fill missing data and give you a full picture of your supply chain.

Even with supplier outreach, non-responders, partial submissions, and inconsistent boundaries leave critical blind spots. These gaps distort Scope 3 baselines, increase compliance risk, and make targeted decarbonisation difficult.

Three AI-led steps reveal the full supply chain picture.




Gap Detection
Automated mapping highlights what is missing by supplier, category, and region.
Coverage views show completeness across every level.
Alerts highlight where emissions risk may be hidden.
Automated Supplier Follow-Up
Smart engagement workflows close gaps at scale without extra headcount.
Guided workflows make it simple for suppliers to provide complete data.
Automated reminders and tracking lift response rates and maintain consistency.
Predictive Emissions Modelling
Predictive modelling completes unavoidable gaps with accurate, AI-generated estimates.
Benchmarking compares suppliers and categories to reveal real emissions drivers.
Modelled outputs give you full visibility even when primary data is missing.




From partial visibility to full coverage.
With Insight, you can stand behind your Scope 3 data with confidence. No more uncertainty about missing suppliers or hidden emissions. Mavarick gives you a complete, transparent foundation for reporting and real decarbonisation action.