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Home » Cargo's Crystal Ball: The Power of Machine Learning

Cargo's Crystal Ball: The Power of Machine Learning

September 11, 2017
Air Cargo World

Shippers opened their contingency playbooks and began the costly process of rebooking shipments on other container lines; in some cases, shippers had to resort to alternative modes of transportation to mitigate shipment delays.

But what if shippers had known well in advance that Hanjin was on the brink of collapse? With the diffusion of so-called “machine learning” technologies, such foresight into looming supply-chain disruptions may no longer be the undertaking of a soothsayer with a crystal ball.

Although early warning systems have long been around to help cargo avoid weather hazards, such as an oncoming blizzard or hurricane, utilizing available data to detect the deteriorating financial state of a supply chain partner requires a different barometer. DHL Resilience 360’s Supply Watch, for instance, utilizes a machine-learning algorithm to recognize indicators for more than 140 different types of risk. Supply Watch was created out of a desire to pick up the “more nuanced risks, like supply failure, financial issues and compliance issues that may be very specific to companies and suppliers that our customers work with,” said Shehrina Kamal, senior product manager at DHL Resilience 360.

Machine learning represents the next iteration of data analytics, and finds applications in situations where rules-based programs cannot be developed to determine a solution, or when the volume of data is too large to handle manually. The algorithm “gives us an automated way of dealing with vast amounts of data in a proactive way,” said Kamal.

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Logistics Global Logistics Logistics Outsourcing Transportation & Distribution Technology Data Management (Big Data/IoT/Blockchain) Forecasting & Demand Planning Global Trade Management SC Planning & Optimization Transportation Management Supply Chain Visibility Global Supply Chain Management SC Security & Risk Mgmt High-Tech/Electronics
KEYWORDS Big Data/IOT Forecasting & Demand Planning Global Logistics Global Supply Chain Management Global Trade Management High-Tech/Electronics Logistics Logistics Outsourcing SC Planning & Optimization SC Security & Risk Mgmt Supply Chain Visibility Technology Transportation & Distribution Transportation Management
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