Agriculture
Quality Grading Support for an Agricultural Co‑Op
AI
Introduction
An agricultural co‑op wanted to reduce rejected produce and improve planning without expensive equipment upgrades.
The Challenge
Quality grading varied by staff member and shift, creating inconsistency and avoidable rejects. Planning suffered because yield and quality data arrived late and in different formats.
Solution & Implementation
We introduced a mobile-first workflow for capturing intake, grading results, and packing outcomes in one place. We then layered in a simple AI prompt system that highlighted “outliers” (for example, unusually high rejects for a particular supplier batch) and suggested checks before packing. A daily dashboard helped managers see quality trends early and adjust packing plans or customer allocations, reducing last-minute scrambles.
Impact
Retail rejects reduced by ~15% through earlier detection and consistency
Packing efficiency improved by ~10% (fewer re-sorts)
Planning time reduced by ~30% (data available same day)
Improved supplier conversations using clearer evidence and trends
Estimated first-year ROI: ~2×, driven by reduced waste and labour efficiency