The cold chain industry requires a system, both comprehensive and intuitive in nature, to ensure the quality and safety of perishable products. Conventional methods are inadequate, leading to significant food waste and safety concerns.
This system offers an AI-driven approach to real-time monitoring and prediction of product quality. It integrates critical metrics into a simple, actionable quality code, providing comprehensive and customizable solutions for various perishable goods, improving decision-making, reducing waste and advancing sustainable practices.
Illustrating the multi-model functional elements of the present invention for calculating a quality code for a perishable product, in accordance with an embodiment of the present invention.