Real AI cases in ingredients
Every case follows the same structure: the problem exactly as it is lived on the floor, the piece of iLEAN that solves it and the estimated impact. All of them can be deployed piece by piece — you start with one, not with the whole platform.
Machine vision on the line, in real time
Agents that plan, document and coordinate
Applicable to any food plant
Cases that work the same in ingredients as anywhere else in the sector: labeling, foreign bodies, inventory, audit and health alerts.
Nutrition labeling with AI
Payback 4-9 months · mass label regeneration ≥30% faster
See the case →FIFO/FEFO in a food warehouse
Payback 4-9 months · expired product down ≥30% in the first quarter
See the case →Glass/metal contaminants by vision
Payback 4-9 months · undetected foreign bodies down ≥30%
See the case →Cold room inventory by vision
Payback 4-9 months · gap between real stock and WMS down ≥30%
See the case →Continuous IFS/BRC audit with AI
Payback 4-9 months · pre-audit sprint ≥30% shorter
See the case →RASFF/AESAN alerts with AI
Payback 4-9 months · response to alerts ≥30% faster
See the case →FSMA: exporting to the US with AI
Payback 4-9 months · FSMA upkeep effort down ≥30%
See the case →Tell us your case and in 48h we'll send you the estimated ROI for your plant.
We work on your plant's real data, not ours. Diagnostic with no commitment.