Border terminal predictive analytics

Quelle: https://www.sas.com/en_us/insights/analytics/predictive-analytics.html

Border terminal predictive analytics refers to the use of statistical models, machine learning, and data visualization to forecast future operations at border terminals (such as border crossings): e.g., processing times, congestion, clearance times, and throughput. The goal is to optimize logistics, resource planning, and customs processes.

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