Why Scope 3 matters
For most companies, Scope 3 emissions represent 70-90% of their total carbon footprint. These are the indirect emissions that occur across your value chain , from purchased goods and services to business travel and end-of-life treatment of sold products. Under frameworks like the CSRD and GHG Protocol, reporting these emissions is increasingly mandatory rather than voluntary.
Ignoring Scope 3 means ignoring the vast majority of your environmental impact. Companies that focus only on Scope 1 (direct emissions) and Scope 2 (purchased energy) are addressing just a fraction of the picture. Investors, regulators, and customers now expect full value chain transparency.
The 15 categories of Scope 3
The GHG Protocol defines 15 categories of Scope 3 emissions. Not all will be relevant to your business, but understanding the full picture is essential for accurate reporting.
Upstream categories include purchased goods and services, capital goods, fuel and energy-related activities, upstream transportation, waste generated in operations, business travel, employee commuting, and upstream leased assets. Downstream categories cover downstream transportation, processing of sold products, use of sold products, end-of-life treatment, downstream leased assets, franchises, and investments.
For most manufacturing and retail companies, Category 1 (purchased goods and services) alone can account for over 50% of total emissions. Service-based companies often find business travel and employee commuting among their most significant categories.
Getting started
Start with your most material categories , usually purchased goods and services (Category 1) and transportation (Categories 4 and 9). Work with your suppliers to collect primary data where possible. Where primary data is unavailable, spend-based estimates using emission factor databases provide a reasonable starting point.
A phased approach works best: begin with spend-based estimates to establish a baseline, then progressively improve data quality by engaging key suppliers for activity-based data. Automated data collection tools can significantly reduce the burden of gathering supplier information and maintaining consistent measurement across reporting periods.
Reducing Scope 3 emissions
Once you have a clear picture of your Scope 3 footprint, reduction strategies can focus on the highest-impact areas. Common approaches include switching to lower-carbon suppliers, optimizing logistics routes, redesigning products for lower lifecycle emissions, and engaging employees on commuting alternatives. Setting science-based targets (SBTi) provides a structured framework for setting and tracking reduction goals.
Need help with Scope 3? Request a demo to see how Dcycle automates supplier data collection.
Frequently asked questions (FAQs)
What data does Dcycle need from companies and suppliers?
To build a GHG inventory, companies typically need activity data such as electricity and fuel consumption, employee travel, procurement, materials, waste, logistics and, where relevant, supplier data. Dcycle helps structure and centralise this collection, including supplier requests that improve Scope 3 calculations. When sufficient primary data is unavailable, the methodology, secondary data sources and assumptions used should be fully documented.
Which Scope 3 categories should a company calculate first?
Start with a screening of all 15 categories, then prioritise those likely to be material. Purchased goods and services, capital goods, upstream and downstream transport, business travel and the use of sold products are common priorities, but the result depends on the company's sector and value chain.
Can companies calculate Scope 3 emissions without supplier data?
Yes. Companies can begin with spend-based or industry-average estimates when primary supplier data is unavailable. They should document the source, assumptions and uncertainty, then replace estimates with activity-based or supplier-specific information over time.
How can companies improve the quality of Scope 3 data?
Focus supplier engagement on the categories and vendors with the greatest estimated impact, standardise data requests and define validation rules. Tracking data quality by source also helps teams identify where primary information will most improve the inventory.