Spoilage Risk Simulator
Estimate the risk of product spoilage based on storage temperature, duration, and product type. This helps simulate how AI can warn about potential losses in real operations.
What Is This Tool and How Does It Work?
The Spoilage Risk Simulator helps you understand how AI can predict the risk of product spoilage based on storage conditions.
Simulated Case Example:
A fruit wholesaler stores Strawberries at 5°C for 4 days. This simulator mimics how AI would flag this scenario as high risk, based on known perishability thresholds.
The tool uses simplified logic based on typical spoilage profiles of fresh produce. In a real implementation, AI would analyse sensor data, shelf-life models, and temperature logs in real time to prevent losses and trigger alerts before spoilage occurs.
Use this simulator to test different scenarios and see how sensitive your cold chain might be to small changes in storage conditions.