Emission Factor Mapping Service

Automated emission factor mapping for Scope 3.1 at chemical level and at scale. Map emission factors to your product and raw material inventory using CAS IDs to reduce manual effort, improve consistency, and close data gaps transparently.

Who it’s for

This service is built for organizations with large chemical substance inventories that need credible Scope 3.1 emission factors without weeks of manual matching.

Sustainability and ESG teams responsible for Scope 3.1 inventory quality

LCA and PCF practitioners doing the mapping and data preparation work

Procurement and supply chain teams managing material masters and supplier data

Product stewardship, EHS and regulatory teams requiring transparent documentation

Best fit when:

Why it matters

Accurate Scope 3.1 data is essential for a complete emissions inventory and credible decarbonization plans. In practice, teams face three recurring barriers:

Data gaps

Not every purchased substance has a readily available emission factor

Inconsistency

Different people and business units map the same substance differently

Manual workload

Matching materials to emission factors in spreadsheets does not scale

A reliable inventory requires a method that is systematic, transparent and scalable.

What you gain

Faster inventory completion by reducing time spent searching, matching and validating emission factors

More consistent results across teams through standardized mapping logic and improved comparability

Transparent handling of gaps with a clear distinction between mapped, modeled and proxy-filled entries

Better prioritization so you can focus high quality efforts where they most affect Scope 3.1 results

A clearer path to improvement by turning unknowns into a structured backlog for better data over time

How it works

Our Emission Factor Mapping Service helps you close data gaps and address inconsistencies in Scope 3.1 reporting by automatically mapping chemical substances using CAS IDs. This removes time-consuming manual matching and gives you consistent, decision-ready data.x

When substances are missing, we help you close those gaps in two ways:

  • Modeling On Demand for high priority items with higher quality results
  • Proxy mapping for low priority items for pragmatic coverage with documented similarity
Step 1: Emission Factor Mapping

Automated mapping based on CAS IDs

First, we identify all products in your Scope 3.1 inventory that have emission factors available in the Carbon Minds database. This mapping is based on CAS IDs, numerical identifiers for chemical substances. Remaining data gaps are addressed in the next steps.

Step 2: Prioritization of data gaps

Invest in data quality where it matters most

Prioritize data gaps based on their expected impact on your Scope 3.1 results. High priority gaps are filled using Modeling On Demand for higher data quality; Lower priority gaps are filled with proxies to complete coverage efficiently

Step 3: Modeling On Demand

Higher quality

With our Modeling On Demand service, we model the missing emission factors for you using our established methodology. This allows you to fill critical gaps with representative and defensible data.

Step 4: Proxy Mapping

Pragmatic coverage

For less critical data gaps, our proxy suggestion engine identifies the substances in our database that are most similar to your target based on molecular structure and quantifies the similarity. You can use these suggestions to select suitable proxies while keeping transparency about where proxies were applied.

Get your free mapping service now

See what can be mapped right away, which gaps remain and what the best next steps are.

Get in touch

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