Food fraud deep dive
iComplai's food fraud prediction software tracks the motivators of adulteration in real time: price spikes, harvest losses, trade disruptions. Four modules rank fraud likelihood before it reaches your supply chain.
Food fraud prediction software flags risks that could be indicators of economically motivated adulteration — substitution, dilution, mislabelling, counterfeiting — before they reach a buyer’s supply chain. iComplai does this by watching the economics that motivate fraud: commodity price spikes, harvest losses, trade restrictions and demand surges — four modules, detailed below. The approach is publicly validated by the hazelnut case: a harvest-loss signal flagged in February 2025 preceded a 274% rise in hazelnut mycotoxin notifications by October 2025.
Predict
Tracks economic motivators for fraud in real time and ranks fraud likelihood per material and origin — the data backbone for your VACCP vulnerability assessment. Motivators tracked include, for example:
Monitor
Fraud-specific signals separated from general food safety — seizures, counterfeits, dilutions and mislabelling cases worldwide, translated and categorised by AI.
Reference
Known adulterants and detection methods per raw material, in a two-level fraud ontology covering ten categories from dyes and concealment to substitution.
Score
Every raw material scored for fraud vulnerability — updated as the economic signals move, so your VACCP review cycle starts from live data instead of last year’s guesses.
Predicted · Economic signal → contamination
The harvest loss was flagged as a risk driver in Feb 2025. By Oct 2025, mycotoxin notifications on hazelnuts had risen 274% — exactly the pattern the economic model predicted.
Q1
All ten categories of the fraud ontology — from substitution, dilution and concealment to unapproved dyes, counterfeiting and mislabelling. Every fraud news case is tagged with its category and a 1–3 severity score, and the Adulterants Library lists the known adulterants and detection methods per raw material.
Q2
Fraud is economically motivated: when margins are squeezed — a failed harvest, a price spike, a trade restriction — the incentive to adulterate rises. iComplai tracks those motivators in real time and ranks fraud likelihood per material and origin. The hazelnut case shows the pattern: a harvest-loss signal flagged in February 2025 preceded a 274% rise in mycotoxin notifications by October 2025.
Q3
Directly. The per-material fraud-vulnerability scores and the Adulterants Library form the evidence base of the assessment — the VACCP fraud assessment page shows the full workflow. When economic signals move, your reassessment starts from live data instead of last year’s opinions.
See the live fraud rankings for your raw materials in one walkthrough.
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