In an industry where time and resources can make or break a company’s bottom line, predictive analytics is no longer just a helpful bonus feature to have in logistics; it’s a necessity. The modern logistics market is more demanding than ever before: businesses across the supply chain are now expected to easily adjust to shipment
The global economy, as it functions today, has become completely dependent on container shipping to succeed. 95% of all manufactured goods in the world arrive at their destinations courtesy of this massive industry. But despite the growing reliance on container shipping, there’s one industry-wide problem that remains to be solved: the repositioning of empty containers. Unfortunately, one out of three containers being moved is empty — estimating around 60 million empty container moves per year at an annual cost of $20 billion to the industry. Apart from the enormous profit wastes, these empty containers are also come at a big cost to the environment, due to the extra fuel consumption, congestion, and shipping emissions.