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Client€8B Global Industrial Machinery Company
SprintAn 8-10 week sprint
Fieldwork5 expert networks utilised
“SprintlyWorks helped us bring clarity to a complex and fragmented problem, allowing us to progress with a consistent and reliable approach”
Vice President, Sustainability
Supply Chain and Sustainability

Designing Scope 3 Emissions Methodology

June 2025 2 min read SprintlyWorks

The client required a precise 2024 Scope 3 inventory for SBTi reporting but faced data gaps, outdated emission factors, and inconsistent methodologies across categories.

70
MtCO₂e accuracy gain. Re-baselined Category 11 using updated emission factors, complete global pump coverage, and standardized runtime assumptions, significantly improving inventory precision.
20%
improvement in stakeholder confidence reported in review sessions. Delivered transparent, SBTi-aligned methodology and audit-ready documentation, strengthening trust with investors, regulators, and customers.
100%
Scope 3 coverage, audit-ready. Calculated all 15 categories in line with GHG Protocol, with documented methods and data sources for consistent year-on-year reporting.
A note on sourcing. Every figure here comes from a SprintlyWorks client engagement. Clients are described, never named. Where a figure is identified or modelled rather than banked, the line says so.
01

The problem

Category 11 (pumps), accounting for ~98% of total Scope 3 emissions, was overstated due to incomplete global coverage, unclear runtime assumptions, and missing motor/country data.

Without a unified and transparent methodology, the client risked inaccurate disclosures, higher assurance costs, delayed reporting timelines, and reduced credibility with regulators, investors, and customers.

02

What the sprint set out to do

  • Calculate and document emissions for all 15 Scope 3 categories using GHG Protocol and SBTi-aligned methods.

  • Re-baseline Category 11 with updated emission factors, Europump runtime, and complete global pump coverage.

  • Standardize and centralize templates, assumptions, and data sources to enable faster, audit-ready reporting year-on-year.

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