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Logistics

AI-powered optimization of container flow in high-volume port operations

AI Container-Flow Optimization for Ports

Table of Contents

Business Need:

Predict how many days a container will stay on the port in order to reduce movements needed to relocate them when the importer needs to retrieve the container.
This will allow you saves the customer time and money.

Solution:

Based on the container manifest and history of past operations, we can predict the best location for the container to optimize the operation on the port area.

Results:

98% accuracy in predicting the final destination of containers
This high level of precision enabled port operators to strategically position containers in optimal areas, significantly reducing unnecessary movements and improving overall efficiency in port logistics.

Tech Stack:

Azure Machine Learning

Microsoft Azure

Solution:

Experience Design

Quality Engineering

Software Engineering