Feature

Scope 3: From Estimation to Precision

Scope 3 emissions typically represent 70-90% of an organisation's total carbon footprint, yet they remain the hardest to measure. ESG:ONE brings structure, automation, and AI to your value chain emissions.

Our platform supports all 15 GHG Protocol Scope 3 categories with flexible calculation methods — from spend-based estimates to supplier-specific primary data. AI-powered factor matching, automated supplier engagement workflows, and continuous data quality scoring help you move progressively from estimation to measurement.

Book a Demo

Why Scope 3 Remains the Biggest Blind Spot

Despite being the largest source of emissions for most organisations, Scope 3 data is often incomplete, inconsistent, and impossible to verify. Regulatory and investor pressure is making this untenable.

Supplier emissions data is scattered across emails, PDFs, and manual surveys — with no centralised system for collection, validation, or tracking over time

Spend-based estimates using industry averages produce figures that are directionally useful but lack the granularity needed for target-setting or reduction planning

Different teams use different methodologies and factor databases for the same categories, making it impossible to produce a consistent organisational footprint

There is no systematic process for engaging suppliers on emissions data, leaving procurement teams without the tools to drive decarbonisation down the value chain

Regulators like the EU (CSRD) and ISSB now require detailed Scope 3 disclosures with clear methodology descriptions and data quality assessments

Without baseline accuracy, organisations cannot set credible science-based targets or track meaningful progress on Scope 3 reductions

Key Benefits

Structured Supplier Engagement

Automate the process of requesting, collecting, and validating emissions data from suppliers through branded portals and configurable survey workflows. Track response rates, follow up automatically, and build a progressively richer supplier emissions dataset.

AI-Powered Factor Matching

Our AI analyses procurement descriptions, commodity codes, and supplier profiles to automatically suggest the most appropriate emissions factors from our database of 140,000+ factors. Reduce manual factor selection while improving accuracy and consistency.

Data Quality Scoring

Every Scope 3 data point receives a quality score based on the PCAF data quality framework, indicating whether it is based on supplier-specific data, industry averages, or spend-based proxies. Track your data quality improvement over time and prioritise engagement efforts.

All 15 Categories Covered

Full support for all 15 GHG Protocol Scope 3 categories — from purchased goods and services, capital goods, and fuel-and-energy-related activities to business travel, employee commuting, upstream and downstream transportation, and end-of-life treatment.

Hotspot Analysis & Benchmarking

Identify your most material Scope 3 categories and suppliers through automated hotspot analysis. Benchmark your performance against industry peers and sector averages to understand where you stand and where to focus reduction efforts.

Reduction Pathway Tracking

Set category-level and supplier-level reduction targets aligned with science-based methodologies. Track progress against targets in real time, model intervention scenarios, and report on Scope 3 reductions with full traceability to underlying actions.

Platform Capabilities

15 Scope 3 Categories
  • Category 1: Purchased goods and services with spend-based, average-data, and supplier-specific methods
  • Categories 2-8: Capital goods, fuel-and-energy activities, upstream transport, waste, business travel, employee commuting, upstream leased assets
  • Categories 9-15: Downstream transport, processing of sold products, use of sold products, end-of-life treatment, downstream leased assets, franchises, investments
  • Category-level materiality screening to focus efforts on the most significant sources
  • Automated categorisation of procurement data to Scope 3 categories using AI
Supplier Data Workflows
  • Branded supplier portals for self-service data submission with guided data entry
  • Configurable survey templates tailored to supplier size, sector, and materiality
  • Automated reminders, escalation workflows, and response rate tracking
  • Supplier data validation rules with automated flagging of anomalies and outliers
  • Multi-language support for global supply chain engagement
Estimation & Calculation Methods
  • Spend-based calculations using environmentally extended input-output (EEIO) models
  • Activity-based calculations using physical quantities and specific emissions factors
  • Hybrid approaches that blend spend and activity data for optimal accuracy
  • Supplier-specific calculations using primary data from supplier engagement
  • Progressive refinement pathways to upgrade from estimates to measured data over time
Reduction Planning & Reporting
  • Science-based target setting support aligned with SBTi Scope 3 guidance
  • Scenario modelling for supplier switching, procurement changes, and engagement strategies
  • Category-level and supplier-level reduction tracking with year-over-year comparison
  • Automated Scope 3 disclosure generation for CSRD, ISSB, CDP, and GRI
  • Data quality improvement roadmaps with prioritised supplier engagement plans

Related

Supplier ESG Management

Manage supplier sustainability performance with automated surveys, continuous monitoring, and risk scoring across your entire supply chain.

Learn more
Carbon Accounting

Complete Scope 1, 2, and 3 carbon accounting with GHG Protocol-aligned methodologies and 140,000+ emissions factors.

Learn more
Supply Chain Solutions

End-to-end supply chain sustainability management from supplier onboarding to Scope 3 reporting and reduction planning.

Learn more

Ready to Get Scope 3 Under Control?

See how ESG:ONE helps organisations move from rough Scope 3 estimates to auditable, actionable value chain emissions data.

We use cookies to enhance your experience. By continuing to visit this site you agree to our use of cookies. Learn more