EMAlert Prediction Tool to Identify and Prevent Food Fraud Risks

Decernis has partnered with Battelle Research Institute to offer a predictive analytics tool to identify global food fraud, also known as economically motivated adulteration (EMA). To combat this issue, FoodChain ID licensed technology from Battelle to fight food fraud using EMAlert™, a food fraud prediction tool using artificial intelligence to identify potential hazards in the global food supply chain.



EMAlert, combined with the Food Fraud Database, provides food safety professionals with an opportunity to identify potential hazards so they can prepare alternative strategies. Those alternatives could include identifying suppliers from a more favorable region of the world or investing in research to develop identity tests for targeted commodities.

Newly added enhancements to the EMAlert intuitive software tool, combined with integrating data from FoodChain’s Food Fraud Database, enable food manufacturers to rapidly analyze and understand potential food fraud vulnerabilities in their supply chain. The approach mirrors a predictive analytic tool Battelle developed for the U.S. Department of Homeland Security.

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  • Newly updated, efficient and easy-to-use tool
  • Provides quantitative estimates of an organization’s vulnerability to food fraud for various commodities
  • Reviews various data sources and information, including known fraud events, supply chain characteristics, economic and pricing information, the availability of authenticity methods, and geopolitical conditions in source countries
  • Convenient and economical, pays for itself within months


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EMAlert is a registered Trademark of Battelle.

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