Deviation Risk Prediction in Reefer Logistics
Quelle: https://www.supplychain247.com/reefer_deviation_risk_prediction
Deviation Risk Prediction in reefer logistics refers to the use of data analytics, machine learning and IoT technologies to detect and forecast potential deviations from set parameters (e.g. temperature, humidity, route) in refrigerated container shipments. The objective is to proactively manage deviations, prevent damage to perishable goods and ensure reliable supply chain performance.
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