Terminal Predictive Analytics

Quelle: https://www.supplychaindigital.com/technology/how-predictive-analytics-optimizes-terminal-operations

Terminal Predictive Analytics refers to the use of data analysis and forecasting techniques to proactively evaluate and optimize operations and capacities at logistics or freight terminals. By leveraging historical and real-time data, it identifies patterns and trends to predict arrival times, handling durations, and resource utilization, thereby informing and improving operational decision-making.

Related Terms

You might also be interested in these terms

Predictive Analytics

Predictive analytics is the use of data, statistical algorithms, and machine learning techniques to forecast future events or trends based on historic...

Learn more

Predictive Analytics

The systematic use of historical data, statistical models, and machine learning techniques to forecast future logistics events (such as demand, lead t...

Learn more

Terminal

In logistics, a terminal is a facility where goods are transferred between different transport modes, temporarily stored, consolidated, and dispatched...

Learn more

Border terminal predictive analytics

Border terminal predictive analytics refers to the use of statistical models, machine learning, and data visualization to forecast future operations a...

Learn more

Airport Predictive Analytics

A set of methods and technologies that use historical data, real-time sensor data, and machine learning to forecast airport operations, passenger dema...

Learn more

Predictive Logistics Analytics

Predictive Logistics Analytics is the application of statistical algorithms and machine learning techniques to logistics and supply chain data in orde...

Learn more