Case study

Enabling carbon reduction planning through primary poultry data integration

Company

Major Retailer and Supplier

Industry

Retail and Agriculture

Region

Europe

Solution

Mondra - Net Zero

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cooked chicken
cooked chicken

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Background

To prepare for net zero and Scope 3 emissions reporting, a major UK retailer collaborated with a poultry supplier and Mondra to demonstrate integration of primary farm-level emissions data into a broad range of poultry products. The project focused on enhancing emissions visibility, enabling action planning, and building a framework for long-term carbon reduction.

Scope

To maintain focus and generate easily measurable results the scope of the project was set as follows:

  • Covered poultry products in both fresh and value-added categories.

  • 1 primary emission factor (EF) was uploaded and applied.

  • Aimed to assess data quality improvements and track future reduction potential.

Objectives

The project set out to:

  • Gain a greater understanding of EF across the supply chain

  • Enable a carbon reduction plan – measured by the sharing of an agreed action plan between Retailer and supplier with objectives and timeframes

  • Define use cases – measured by sharing of action plan scenarios

  • Increase collaboration to improve Data Quality – measured by change in data quality score and insight into the quality score needed by suppliers to make decarbonisation credible

Process Overview

Automated Supplier Onboarding
  • The supplier joined via an automated invite and onboarding wizard.

  • Collaboration was immediately enabled between supplier and retailer.

Adding Farm Emission Factor

o   Farm EF was submitted and scored using the platform’s Data Quality System (DQS), aligned to national guidance.

Efficient Product Targeting
  • Supplier mapped and applied the EF to chicken products.

  • Sourcing splits and supply dynamics were recorded.

Integration & Baseline Update to Digital Twin
  • Products were digitally twinned with the new EF, establishing a dynamic baseline.

  • Each updated product received a ★ Enhanced label denoting real-world data inclusion.

Results

On project completion the following results were observed:

  • Poultry products enhanced with real emissions data across fresh and prepared poultry lines.

  • Significant DQS Improvements observed, especially for core fresh SKUs.

Example: A premium chicken mini fillet SKU improved its DQS score from 3.3 to 2.0 after integration.

Value Delivered

Shared Reduction Plan Developed

Enabled alignment between supplier and retailer on credible, data-driven decarbonisation efforts.

Pathway to Dynamic Tracking

Retailer now understands how real-time emissions updates can be applied across categories.

Stronger Case for Label Claims

The project lays the groundwork for verified product-level carbon claims in future.

Looking Ahead

Next steps have been defined for:

  • Annual or Faster EF Updates across all relevant poultry SKUs.

  • Scenario Planning Tools to test impact of farming interventions on carbon footprint.

  • Improved Targeting Accuracy to account for complex supplier ecosystems.

  • End-to-End Data Sharing from farm to manufacturer, enabling holistic supply chain visibility.

  • Exploration of Verification Models to support trustworthy reporting and labelling.

Conclusion

This project demonstrates how farm-level data can power product-level carbon tracking in the poultry supply chain. It enables joint reduction planning, strengthens data quality, and sets the stage for future regulation-ready labelling and Scope 3 reporting. A scalable and collaborative model is now available for broader adoption across the food sector.