This Week on Supply Chain Now: June 8th – 12th

“The term ‘influencer’ has become quite ubiquitous in the online space, especially in social media marketing. What was previously being done by celebrities is now taken over by regular people with large followings on social media platforms,” said Influencer Marketing Hub. The Denmark-based company says it “specializes in producing how-to guides, courses, and research reports in the social media and influencer marketing industry.” How far we’ve come – to the point where there’s an actual influencer marketing industry. Influencer Marketing Hub did say that industry experts and thought leaders “can also be considered influencers in their respective industries. These key opinion leaders have gained respect because of their qualifications, position, or experience in their topic of expertise.” It added that “the opinions of these influencers hold significant weight regardless of their social media follower count.” Supply Chain Media is Transforming to Fit the Needs of a Changing Industry Thankfully, it is the industry experts and thought leaders who are influencing supply chain media rather than TikTok “stars” and the Kardashians. There is now a wealth of supply chain-focused programming keeping industry professionals abreast of the latest trends and innovations. Three Supply Chain Influencers to Watch Vin Vashista, Sofia Rivas, and…

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…