This Week in Supply Chain Now: May 26th – 29th

Global trade practitioners face waves of uncertainty with the possibilities of slews of international tariffs and work stoppages at ports on the U.S. East and Gulf coasts. There are other weighty challenges as well, including conflicts in Russia-Ukraine and the Middle East, increasingly dangerous storms, and seasonal capacity strains and congestion. Technology plays an increasingly important role in overcoming the many challenges in the global supply chain. “The evolution of supply chain technology has allowed the shipping industry to enhance its operational capabilities. Automation, real-time tracking, and improved throughput have helped manage the heavy volume growth experienced during the pandemic, but recent challenges have highlighted the need for even more robust strategies,” Karim Jumma, e2open’s vice president of product management, wrote in a contributed SupplyChainBrain article. Jumma cited geopolitical conflicts, extreme weather events, and logistical bottlenecks as examples of challenges that have tested the industry and “increased the need for innovative solutions that prioritize flexibility and data-driven decision-making to mitigate against ongoing disruptions.” Supply Chain Now is highlighting E2open, WCAworld, and DP World, three companies continually working on innovative solutions to global trade’s most pressing challenges. DP World Takes Collaborative Approach to Global Challenges DP World’s marketing material says the…

Prospects of supply chain automation have the industry abuzz. It’s even become a major sticking point in the International Longshoremen’s Association contract negotiations with the United States Maritime Alliance. The dockworkers do not want ports to automate processes out of fear they will lose their jobs to machines. Today, there are seemingly endless possibilities for optimization. Terms like generative artificial intelligence and machine learning have become commonplace in discussions about ways to gain efficiencies and reduce costs. Can man and machine work together as businesses leverage automation for optimization? Beyond the Buzz: Understanding the Automation Imperative Machine learning, a subset of artificial intelligence (AI), is described by Business News Daily as a later-stage development in which machines take in data on their own and then analyze it. Automation, on the other hand, is fixed on repetitive tasks; after a job is performed, an automation system “thinks no further.” The Business News Daily article explained that “automation involves an entire category of technologies that provide activity or work without human involvement,” while AI involves “a machine exhibiting and practicing something similar to what we describe as human thinking – that is, the ability to interact in thousands of ways with the…