Case study
Unlocking product-level insights with farm-level emissions data for pork supply chains
Company
Major Retailer and Supplier
Industry
Retail and Agriculture
Region
Europe
Solution
Mondra - Net Zero
Background
To meet climate targets and improve data granularity across the supply chain, a major UK retailer collaborated with a pork processor and Mondra to explore integrating farm-gate emissions data into a wide range of pork products. The project focused on capturing and applying primary data to product-level digital twins, improving transparency, comparability, and actionability.
Scope
To maintain focus and generate easily measurable results the scope of the project was set as follows:
Covered all pork products across multiple formats, including complex items like sausages
One farm-gate emissions factor (EF) was applied, derived from robust, nationally representative data
Built on existing category digital twins from the retailer's platform
Objectives
The project set out to:
Test how primary farm-gate data can be applied across a broad pork assortment
Move beyond a single averaged emission factor to product-specific insights
Show how dynamic connections accelerate the pace of change
Improve data quality (DQS) and emissions accuracy
Demonstrate how visibility into product-level performance can support hotspot prioritization and informed decision-making
Process Overview
Automated Supplier Onboarding
Supplier enrolled using a guided invitation process
Seamless collaboration between supplier and retailer was enabled from the outset
Adding Farm Emission Factor
Farm EF was added in accordance with national guidance, with metadata captured for scoring.
Suppliers found the system easy to use
Enhanced Product Targeting
Supplier applied the EF to all pork products via a targeting tool, ensuring correct representation of sourcing.
Sourcing splits were included to represent real-world supply
Integration & Baseline Update for Digital Twins
Products were automatically updated with the new EF within a unique digital twin
The “Enhanced” label marked all products with integrated farm-level data
Result
On project completion the following results were observed:
All Pork Products Updated with a new carbon emissions baseline
Product-Level Granularity Achieved with single EF applied across multiple formats
Significant DQS Improvement, especially in fresh product lines
For pork belly slices, the DQS score improved from 3.0 to 1.6 after EF integration — a material improvement driven by higher data quality and recency.
Value Delivered
More Informed Target Setting
Retailers and suppliers can now prioritize efforts at the product level
Future-Proofed Labelling
A clear pathway to real, verifiable environmental claims on-pack — critical as regulators tighten requirements
Dynamic Reporting Readiness
The platform supports a shift from annual reporting to continuous, real-time emissions tracking and improvement
Looking Ahead
The project laid the groundwork for:
Annual or faster EF updates across full product ranges
Farm scenario modeling to explore emissions reduction options
Improved scoring and transparency tools, including a new “references” screen
Better data targeting to minimize the DQS dilution from contingency supply
Supply Chain Collaboration: Enabling not just retailer-supplier data sharing, but also processor-to-manufacturer integration for more impactful reductions
Conclusion
This project demonstrated that integrating primary farm-level emissions data into pork products is feasible, scalable, and valuable. It provides suppliers and retailers with powerful, actionable insights — paving the way for more targeted reductions, credible climate claims, and a faster transition to a Net Zero food system.
