From cows to cocoa: How a mission-driven food brand traced impact across its complex supply chain.

We helped them build a more complete picture:

• Identified known supplier locations and filled gaps using trade, flow, and sourcing models.
• Mapped key feed and forage ingredients—such as soy, alfalfa, and pasture—and determined where and how they were grown.
• Built land-use and impact models to capture water use, biodiversity risk, deforestation, and carbon emissions, even without complete traceability.
  
  

This allowed the company to visualize the indirect impacts of livestock production across different geographies and recognize risks beyond their immediate supply chain.

Using LandGriffon, we conducted an LCA-informed material responsibility analysis. For instance:

• Egg yolks used in ice cream have a higher share of environmental impact than egg whites or shells, because they drive demand.
• Feed inputs like soy or silage vary widely in impact depending on geography, irrigation, and land use history. In this case, there was an unexpected concern for the water stress of USA-grown soy and alfalfa, more so than the EU-sourced feed.
  
  

This granular view helped the company better attribute environmental impact and spotlight high-impact inputs where mitigation would be most meaningful.

Our LandGriffon modeling showed:

• Soy and alfalfa production in some US regions had unexpectedly high water stress and land-use concerns.
• Feed grown locally (e.g., pasture or hay) often has a lower direct impact but requires more land, raising different sustainability trade-offs.
• Mitigation involved not only farm inputs but also systemic changes, like adjusting feed recipes or sourcing byproducts (e.g., spent grain).
  
  

With LandGriffon, they could weigh options and build a strategy around actual supply chain dynamics, not just convenience or tradition.

• Pinpoint high-impact inputs for targeted intervention.
• Prioritize data collection and supplier engagement where the stakes are highest.
• Begin integrating double materiality into planning, balancing business impact and environmental outcomes.

This early-stage work helped them prepare for evolving standards and expectations, from EUDR compliance to nature-related disclosures, like science-based targets for nature and TNFD, while grounding their sustainability roadmap in credible, science-based insight.

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They now have the tools to:

• Measure multi-indicator environmental risks across their whole, complex supply chain.
• Quantify impact from indirect inputs like feed and forage, beyond what’s visible on the farm.
• Model future scenarios, test mitigation strategies, and identify real opportunities for change.

Sustainability isn’t just about your highly targeted local actions, it’s about what your brand drives globally. With spatial intelligence and scientific rigor, livestock-based companies can lead the way to more resilient, nature-positive supply chains.