Spoilage prediction models are algorithmic systems that estimate expected quality loss in perishable goods by combining historical data, sensor readings such as temperature, humidity, and CO₂ levels, with transport parameters including transit duration and handling events.
Source: https://www.ibm.com/topics/supply-chain-analytics
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