The platform leverages IoT sensors placed within transport vehicles and storage facilities to continuously monitor the temperature and humidity of fresh produce.

These sensors feed data into a centralized AI-powered analytics engine that evaluates conditions in real time.

The AI system can identify potential issues like temperature spikes or equipment malfunctions and automatically adjust refrigeration settings or reroute logistics operations if necessary.

Users access an intuitive dashboard that provides alerts, actionable insights, and historical data to inform strategic decisions.

By ensuring consistent optimal conditions, the platform can significantly reduce spoilage rates, lower operational costs, and increase supply chain reliability.

This real-time adaptability sets it apart from static monitoring solutions, providing a competitive edge in quality assurance.

IoT sensors are becoming more affordable and scalable, while AI technology is increasingly accessible.

The main challenges include integration with existing logistics systems and ensuring robust connectivity across variable geographic areas.