Unlike manual route planning, AI-driven optimization for reefer cargo uses predictive models and real-time sensor data to balance multiple objectives simultaneously: transit time reduction, temperature stability assurance, and minimization of delays at transshipment points.
Source: https://www.supplychainbrain.com
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