Demonstration scenario

Mapping a Food Processor's Scope 3 Footprint Across Its Grain Supply

A mid-sized food processor needed credible Scope 3 numbers for its grain sourcing — but its supply chain dissolved into anonymous mandi aggregation two steps upstream, making emission factors guesswork.

Client type: Corporate climate client
Region: Multi-state sourcing footprint (illustrative)
Crop: Wheat supply chain
Timeline: One reporting cycle (illustrative)

Image placeholderMapping a Food Processor's Scope 3 Footprint Across Its Grain Supply — field photography/images/case-corporate-scope3-sourcing-scenario.jpg · 21/9

Starting baseline

Scope 1 and 2 accounted; Scope 3 agriculture estimated from generic factors
No farm-level visibility beyond first aggregator
No supplier data collection mechanism

Intervention

01
Supply-chain mapping from plant backwards to sourcing geographies
02
Farm-network sampling within the platform's managed and partner farms
03
Practice-based emission modelling replacing generic factors for the mapped share
04
Design of a supplier programme linking future procurement to measured farms

What the programme establishes

Scope 3 basis

Practice-level data

For the mapped sourcing share

Traceability

Farm-linked lots

Within the platform network

Reduction path

Defined

Supplier programme with measurable levers

Demonstration scenarioThis case study is a demonstration built to show how the operating model is applied. It does not describe a specific client, and the outcomes listed describe what the programme establishes rather than measured results achieved for a customer. We publish verified client results only with documented evidence and the client's consent.

Next Step

Establish your own baseline

Every programme starts the same way: an honest field assessment of where the farm actually stands today.

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