Case studyFood safety and quality
Integrating AI into Food Safety Workflows
A sectoral data and prediction report prepared within the EFRA project.
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How food manufacturers turn external risk signals into preventive decisions, in three practical workflows.
What you get
Most incidents are visible in the data before they reach your supply chain. Food manufacturers do not lack data: the hard part is turning thousands of external signals, such as alerts, recalls and import refusals, into a few clear decisions about which supplier to check, which material to test and which origin to watch.
Giannis Stoitsis walks through three workflows that food safety and quality teams can use straight away, and a short monthly routine that keeps them running.
Food safety, supplier quality, regulatory affairs and procurement professionals at food manufacturers.
CTO, FoodNexus
Leads data and AI at FoodNexus. Works with food safety and quality teams on turning external risk data into preventive decisions.