Minnow embeds ecological risk signals directly into sourcing workflows, and returns outcomes to the planning stack.
Nature exposure shows up after the fact, as price shocks, supply shortfalls, and quality failures. Minnow moves disruption signals upstream, into the planning cycle, before they become costs.
Case study: Brazilian soy sourcing
Start with what you know: commodities and whatever location data you have, from broad sourcing region to individual supplier.
Minnow identifies the specific set of variables driving exposure in each of your sourcing geographies.
Find the communities sourcing from the same landscapes, as well as the relevant solutions, partners and financial instruments available in strategic regions.
Unilateral or community action both feed results back into the next planning cycle - sharpening analysis and building resilience with every sourcing decision made.
Start with the data already available. Minnow turns existing sourcing information into exposure signals from the first input.