Case study
Tracking real supply chain reductions with primary farm data integration
Company
Major Retailer and Supplier
Industry
Retail and Agriculture
Region
Europe
Solution
Mondra - Net Zero
Background
As climate deadlines approach, a major UK retailer partnered with a leading meat supplier and Mondra to integrate primary, farm-level carbon data into their pork and poultry supply chains. The project aimed to move beyond static, secondary data and establish a foundation for measurable, verifiable carbon reduction across real-world product portfolios.
Scope
To maintain focus and generate easily measurable results the scope of the project was set as follows:
Covered a range of meat products (including chicken and pork
SKUs)Integrated 3 distinct farm-gate emissions factors (EFs)
Focused on both fresh and value-added meat products (e.g. mince and glazed items)
Objectives
The project set out to:
Enable suppliers to integrate farm-level emissions data at scale across pork and chicken SKUs
Establish dynamic, traceable baselines to monitor real reductions year over year
Demonstrate how integration reveals actionable insights and supports supplier–retailer collaboration on emissions reduction
Process Overview
Automated Supplier Onboarding
Suppliers joined via a wizard-led onboarding flow.
Collaboration between the supplier and retailer was instantly enabled within the platform
Adding Farm Emission Factor
Farm EFs were uploaded in accordance with WRAP’s EF Inclusion Guidance.
Data was captured to inform scoring via the Data Quality System (DQS)
Enhanced Product Targeting
Products were mapped and linked to the correct EF based on sourcing
Sourcing splits were applied
Integration & Baseline Update for Digital Twins
Product-level digital twins were updated to reflect the newly integrated farm data
Each enhanced product was marked with a ★ Enhanced label to denote real-world data integration
Results
On project completion the following results were observed:
Products updated across pork and chicken categories
Material DQS Improvements for direct-sourced products, especially fresh lines
Improved carbon Intensity scores
Significant Performance Lift: For example, pork mince saw its DQS score improve from 3.0 to 2.1 after integration.
Value Delivered
WRAP DQS scoring
Works as the metric to both encourage participation and track the quality of data
Year-on-Year Reduction Tracking
Enables a structured way to measure performance improvement over time. This is vital as 2030 net zero targets approach
Product-Level Decision-Making
Empowers both retailer and supplier teams to prioritize based on emissions hotspots
Credible Claims Enablement
Lays the foundation for verified, on-pack claims backed by real data—critical as regulations tighten
Looking Ahead
The project laid the groundwork for:
Faster EF Updates across the full assortment.Farm Scenario
Modelling to support emissions planning
Improved Scoring & Transparency via upcoming “References” and “Certificate History” views
Data Verification Capabilities to ensure reliability as claims become more public-facing
End-to-End Data Sharing: Opens up new avenues for data sharing between processors and manufacturers, not just retailers
Conclusion
This project proved that integrating primary emissions data into pork and poultry supply chains is not only possible, but scalable and highly valuable. With dynamic baselines, enhanced transparency, and real supply chain engagement, the foundations are in place to support measurable Scope 3 reductions—accelerating the transition to a Net Zero food system.
