Summary
This guide presents the Food Safety Maturity Model, which outlines the progression of food production brands from basic compliance to advanced predictive quality management. It details the characteristics and indicators associated with each maturity stage, including basic compliance, reactive quality management, proactive quality management, integrated quality management, and predictive quality management. The document emphasizes the importance of implementing digital systems, IoT sensors, AI, and predictive analytics to enhance quality and safety while effectively managing risks. It describes how companies can evolve by adopting appropriate technologies at each stage and highlights the critical role of strategy and analytics in improving food safety. The guide serves as a resource for food production companies aiming to understand their journey towards better management of food safety risks and ensuring long-term sustainability.
