iComplai

iComplai is an early warning system for early identification and prediction of raw material risks in the food supply chain. Using AI-powered capabilities, the system informs users on potential risks regarding their raw materials and suppliers, helping them realize significant time and cost benefits as well as avoid recalls. Both public and private data sources are fed into the iComplai machine learning systems. The system is in use by global food manufacturers like Mars and innocent (part of Coca-Cola group). Through special AI modules like pesticide prediction and food fraud risk alarm, iComplai machine learning system recognizes patterns in the data and makes risk predictions once new data arrives. These predictions enable food manufacturers to take preventive measures and reduce risk of recalls. With a special view on food fraud risks, organizations can generate risk analysis for their raw materials within seconds and utilize it for various certification audits. Through the iComplai platform users can check the quality of their suppliers, monitor their volumes and the associated product warnings.

Integration at the raw material, risk and supplier level Fast customisation Actionable predictive modelling algorithms High data quality and quantity Collaboration with industry partners (no competition) Customer focus

With an average of 10 m. $ cost per recall, food manufacturers are concerned about 1) increasing regulations with fines up to 2% of revenue 2) supply chain problems – climate change, covid, war, and 3) To invest 2-3 days research time for every new raw material and emerging hazard 4) About the new supply chain risks that they are not yet aware of.