Setting up a supply shed with procurement data

Regrow uses a combination of deterministic and LLM tools to turn unstructured ERP data into structured, sustainability insights.

Here is the approach:

Identify the Processing Facility LocationGoal: Pinpoint the location of the facility handling the commodity.Method:

Use the commodity name, supplier, and location (street, city, or region).
If no street address exists, infer the most probable facility in that city for the given supplier and commodity.

Outputs:

Full facility address
Latitude / Longitude (decimal)

Determine the Sourcing Region & Transport MethodGoal: Define where the commodity is most likely grown and how it travels to the facility.Inputs Considered:Commodity characteristics, facility location, typical shelf life, production zones (USDA NASS, StatCan, EuroStat), and local transport infrastructure.

Logic: Define a radius (km) around the facility representing typical trucking distanceOutput Example: Local sourcing around Des Moines corn facility (radius ≈ 150 km)

Sustainability Insights uses the lat/long and radius per facility to draw a circle, where the center is the processing facility, and the radius includes all fields that grow the commodity of interest, which Sustainability Insights is able to isolate using the MonitorML remote sensing technology.

Volume-aware emission metrics

Regrow’s volume-aware emission metrics enable CPG and agribusiness customers to estimate and view emissions and emissions factors (EFs) in Sustainability Insights (SI) based on volume of crops sourced from different locations. This feature accounts for volumes per commodity provided in customers' purchase orders and it helps customers build more accurate Scope 3 carbon inventories and prioritize regenerative agriculture investments based on the regions and suppliers that have the highest volume-capped carbon abatement potential.

The LLM tool is currently in beta.

Setting up a supply shed with procurement data

Regrow uses tools to turn procurement data into sustainability data. This article outlines the methodology to create supply sheds that reflect a company's sourcing regions.