AgIQ FIEThe Fertilizer Intelligence Engine

Fertilizer companies sit on years of soil analyses and recommendations for their customers, and almost none of it is used commercially. AgIQ FIE aggregates that agronomic data across your entire customer portfolio and turns it into demand intelligence.

Instead of forecasting from last season's sales, you can see the actual nutrient requirement sitting in your customers' soil — field by field, region by region — and plan product, stock, and sales effort against real demand.

Lost revenue detection identifies customers who are consistently under-fertilising relative to what their own soil analysis recommends. Each of those gaps is a documented, agronomically justified sales conversation rather than a cold call.

SKU intelligence then matches those nutrient gaps to your actual product catalogue, so the recommendation your sales team carries into the meeting maps to something you can invoice — not a generic nutrient target.

Yield response modelling and soil trajectory forecasting show where a customer's soil is heading over multiple seasons, which turns a transactional fertilizer sale into a multi-year agronomic relationship.

Carbon MRV provides field-level emissions tracking and supports Green Grain Certificates — increasingly a commercial requirement in export grain supply chains, and an area where being early is a genuine advantage.