The Port of Long Beach and GE Transportation are set to collaborate to make improvements to overall cargo flow.
The Port of Long Beach, one of the busiest container ports in the United States, is hoping to increase visibility, enhance real-time decision-making and optimize cargo movement through the port with the launch of the new pilot program.
GE Transportation, a division of the General Electric Company, will implement the Port Optimizer solution – fresh off its successful pilot with the Port of Los Angeles – to increase the visibility of incoming cargo from two days to two weeks.
Mario Cordero, Executive Director of the Port of Long Beach stated: “We experienced record volumes last year, with an 11% t increase to 7.54 million TEU, making 2017 our busiest year ever.
“This partnership with GE is providing an important trial for us as cargo and competition grow. We need new and innovative ways to ensure our customers can move their containers from water to land quickly, reliably and at a cost that makes sense for their business.”
Read the “Digital Container Shipping: The Path Toward Intelligent Supply Chains” technical paper for more information on developing and enabling supply chains
Laurie Tolson, Chief Digital Officer for GE Transportation said: “The pilot brings tremendous opportunity for the San Pedro Bay ports customers and supply chain partners.
“With container volumes on the rise, the world’s ports are moving more cargo than ever, making the need for operations optimization even more critical.
“A uniform, common user portal… will enable stakeholders to make scheduling, planning and payment decisions prior to cargo arrival, as well as reduce delays during each handoff between nodes in the supply chain.”
Lou Anne Bynum, Long Beach Harbour’s Commission President commented: “It was important to us to ensure this pilot involved multiple container terminals, so we can collect the best data to develop this important tool.
“This is an intriguing technology and we’re interested to see if it can improve our operations.”
By delivering real time data to key stakeholders and combining machine learning with integrated port-wide data, the software helps the supply chain monitor and respond to changing conditions dynamically – enabling maximum port cargo flow and performance.
