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AI and automated shipping logistics

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In the wake of COVID-19, all kinds of technological processes have been considered in an attempt to make up for supply chain complications and labor challenges. In this unstable environment, artificial intelligence has been instrumental in streamlining shipping logistics to accommodate the new normal, and the implications of this tech are widespread. AI itself has had a heyday in modern industry. One study found the use of AI in business processes has jumped 25 percent year-over-year as companies of all kinds integrate smarter computing processes to increase efficiency. The power of this tech across shipping and supply chains, in particular, is transforming the industry in the form of data analytics, connected monitoring systems, and automated processes.


Blockchain, AI offer big savings in transportation and logistics, PwC survey finds

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Blockchain and artificial intelligence are bringing rapid change to the normally slow moving transportation and logistics industry, according to PwC in its recently released Transportation and Logistics Trends 2019 report, which is part of its annual CEO survey. The pressure to offer new and better service is on for transportation and logistics (T&L) executives, who reported confidence in revenue growth for their organization over the next 12 months at a five-year low -- with just 29% saying they were confident that revenue would grow during that time, said the report, which included 143 CEO respondents in the T&L industry. PwC sees blockchain technology as a potential source of relief from logistics bottlenecks that occur as a result of low transparency between different organizations and the many authorizations and procedural documents that must be gathered in order for international shipping to occur. As examined in Spend Matters' recent blockchain roundup report, several shipping companies around the globe have formed working groups or consortiums to coordinate their blockchain efforts, including the TradeLens program spearheaded by IBM and Maersk, the Global Shipping Business Network, and the Blockchain in Transportation Alliance. Beyond international shipping, blockchain is increasingly seen as a key component in increased efficiencies within "last-mile" shipping programs for companies like UPS and Amazon.


Ghost Ships IRL: How Autonomous Cargo Boats Could Disrupt The Massive Shipping Industry

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Unmanned marine vehicles will use sensors & AI to crisscross the world's oceans without a crew – potentially lowering costs & improving safety for the $334B shipping sector. Just as driverless cars and trucks are bringing huge changes to the auto industry, and drones are disrupting everything from emergency response to conservation, autonomous ships are becoming the next major transportation innovation. A number of startups and governments are piloting "unmanned marine vehicles" or crewless cargo boats, with the potential to disrupt the $334B shipping industry. Rolls-Royce already demonstrated the world's first remotely operated commercial vessel earlier this year, and the US military is testing an experimental, autonomous warship called the Sea Hunter. Fully autonomous ships aren't yet allowed in international waters.


Add Cargo Shipping to the List of Industries Contributing to Global Warming

Mother Jones

This story was originally published by Grist and appears here as part of the Climate Desk collaboration. The platform overlooking the Panama Canal's Pacific exit is buzzing with energy on a muggy October afternoon. The ship's crewmembers wave from aboard the 690-foot-long vessel, smiling as they end their eight-hour, 48-mile journey. An employee brandishing a wireless microphone--the canal's hype man--leads the crowd in a series of cheers, his voice as bombastic as a sports announcer's. "Let's give them a round of applause!" he booms in Spanish and then English.


Commentary: Applying AI To Decision-Making In Shipping And Commodities Markets

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The views expressed here are solely those of the author and do not necessarily represent the views of FreightWaves or its affiliates. In this installment of the AI in Supply Chain series (#AIinSupplyChain), we explore the topic of decision-making in the shipping and commodities markets. Before we proceed, it is important to note four characteristics of the freight shipping industry that were highlighted by Roar Adland, a professor of shipping economics at the Norwegian School of Economics. In an August 2017 blog post on LinkedIn: 4 things shipping had long before Uber, he noted the following: First, shipping inherently utilizes dynamic pricing because of the volatile nature of rates, and this has been the case for a few centuries. Second, the industry already matches demand and supply in a highly efficient manner.