The Global Predictions Dashboard will be available through the Foodakai platform, a cloud-based food safety intelligence platform that monitors and predicts risks across a business’ entire supply chain.
Users can define parameters for testing the ingredients – such as chemical, biological, allergens, physical, fraud incidents – and products likely to be affected by food safety incidents imminently.
These predictions could be used to identify the areas of the supply chain that are more susceptible to risk. That in turn would allow food firms to allocate auditing and testing budgets to the areas most in need of monitoring.
Agroknow claimed that the system has helped its clients reduce the time spent on monitoring and assessing food safety risks by 50%.
Chief executive Nikos Manouselis said: “We believe that there are smart ways in which we can improve food safety and mitigate risks without necessitating expensive in-house efforts.”
“With this solution, Agroknow aims to bring a radical transformation in the way that preventive measures can be prioritized by adopting a solution that will help predict food risks before they occur, creating truly precognitive capabilities within food safety.”
Introduction of AI technology
AI has increasingly been implemented by food firms over the past year, helped along by initiatives such as the Government’s Made Smarter programme.
Logistics firms have been incorporating software in the cloud to help increase workflow, while the use of robot cleaners powered by AI have allowed manufacturers to free up members of staff for more important tasks.
Meanwhile, artificial intelligence is just one of the routes being taken by food manufacturers in their quests to make their factories self-sufficient. We explore the ways food firms are implementing technology in the role of preventative maintenance to prevent failures to the production line before they happen.