PRODUCTS & SERVICES

AI efficiency

5 years ago

AI solutions to improve container terminal efficiency will be offered by a new partnership.

Blockshipping and INVICTA Pte Ltd have signed an AI partnership agreement that will initially focus on reducing container shuffle moves.

“With data from leading terminals in Europe and the US we have proven that our AI model can predict dwell time of import containers with remarkably high accuracy, and we are now expanding our commercial footprint in Asia in partnership with INVICTA”, says Blockshipping founder and CEO Peter Ludvigsen.

Blockshipping and INVICTA are building on the strength of their combined networks and expertise to introduce Blockshipping’s AI-Import Dwell Time Prediction (AI-IDP) solution to terminals looking to take advantage of new technology and accelerate their yard operation. The solution predicts how long time an import container will stay in a terminal , is non-intrusive to existing terminal operating systems and can be implemented with minimal disruption to work.

“Reducing shuffle moves by +30% also provides the opportunity to raise stacking height leading to improved utilisation of equipment and yard space. Terminals and their customers also benefit from faster truck turn-time and overall improvement in efficiency” says INVICTA founder and CEO, Ian Sehgal.

The companies point out terminals are facing unprecedented challenges due to the current fluctuations in logistics, and as a result more containers than ever are randomly stacked leading to high inefficiency and expensive housekeeping moves.

Blockshipping is an international technology start-up, founded in the ocean transport industry and headquartered in Denmark. By applying AI and Machine Learning, the company makes marine container terminal and shipping operations more efficient.

Singapore-headquartered INVICTA specialises in identifying and solving the most endemic problems that plague logistics and supply chain operations. It combines industry expertise with digital technologies including AI/Machine Learning, Data, Workflow and Robotic Process Automation, and Analytics – that deliver tangible results and significant savings.