DPDHL and Huawei agree IoT partnership

Deutsche Post DHL (DPDHL) and Huawei Technologies have agreed a Memorandum of Understanding (MoU) to between them develop a range of supply chain solutions for their customers who use industrial grade Internet of Things (IoT) hardware and infrastructure.

According to the agreement, Huawei and DPDHL will now collaborate on new innovation projects that focus on cellular based IoT technology that can connect large volumes of devices across large distances with a minimum of power consumption.

According to DPDHL: “The greater connectivity can deliver a more integrated logistics value chain by providing critical data and visibility in warehousing operations, freight transportation, and last-mile delivery.”

Dr. Markus Voss, Global COO & CIO, DHL Supply Chain, said: “Spending on connected logistics solutions is expected to more than double between now and 2020, and many logistics providers including Deutsche Post DHL Group have already begun to explore Internet of Things applications in their supply chains, including everything from enhanced asset tracking to driverless delivery vehicles.

“This MOU will allow both Huawei and Deutsche Post DHL Group to tackle complex operational and business challenges with a powerful combination of world-class Internet of Things hardware, networks, and expertise in end-to-end supply chain management.”

The MOU will see Huawei make its IoT devices, connectivity experts, and network infrastructure accessible to Deutsche Post DHL Group, so the logistics company use them in its warehousing, freight, and last-mile delivery services.

Huawei and DPDHL Group will also work together to market and commercialize the results of their innovations, including pilot commercial projects in Europe and China.

DPDHL added: “The initial forays into the Internet of Things for DHL include the launch of the €90 million Advanced Regional Center in Singapore last year, featuring almost-entirely automated picking and storing infrastructure that performs 20 per cent more efficiently than manual approaches.”  
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