Patrick Terminals is a busy Australian-based maritime operation responsible for orchestrating 30 ton cargo containers with precision amid ships, cranes, and heavy ground vehicles. Recently, the company set out to introduce leading technologies to the container shipping industry as a means for notably innovating operations.
To be successful, though, they would need automation technologies and information systems that could respond dynamically to changing customer demands, business priorities, and industry requirements. That technology would need to work with complex information systems already in place to keep its terminal running smoothly. Data computations would need to be near instantaneous, mandating on-site compute power to avoid latency. Adding to its challenge are continual shifts in demand on systems due to natural fluctuations within the shipping industry.
What stood out about HPE’s GreenLake cloud services was the as-a-service model and the ability to use additional capacity on their cloud when called for—with payment based solely on actual use. Not only would this help in managing expenses but it would also allow the company to adapt to new business requirements. In short, they could take advantage of the cloud while maintaining systems on premise.
The company’s shift to HPE GreenLake ultimately delivered on all of its expectations and more, boosting reliability while keeping business proactive and secure through its built-in operational assistance and advisory support. This includes on-site visits by a dedicated HPE account support manager, who works directly with IT at Patrick Terminals to assess potential platform changes and to help with future planning. Because their account support manager is already familiar with their environment and industry, all guidance is tailored to promote the right technology decisions within its unique operations.
Today, HPE GreenLake ensures autonomous and accurate container placement, reduces the time to deliver customer reports, and strengthens the security of critical data. Read the full case study at https://www.hpe.com/psnow/doc/a50004454enw.