Michael Broidy

An estimated 12% of global trade worth more than $1 trillion traverses the Red Sea each year. When Houthi rebels started attacking commercial vessels in November 2023, ocean carriers began rerouting container ships around Africa’s Cape of Good Horn rather than through the Suez Canal on voyages from Asia to Europe. That greatly increased travel time and costs. As of March of this year, shipping through the Red Sea was still down 70% from before the attacks began, according to The Economist, with many ocean carriers still avoiding the Bab el-Mandeb Strait, which separates the Red Sea from the Gulf of Aden and the Arabian Peninsula. Maritime Industry Caught in the Crosshairs Houthi rebels launched attacks on ships in the Red Sea in response to Israel’s military operations in Gaza. The Houthis attacked more than 100 cargo ships between November 2023 and January 2025. The attacks, with missiles and drones, sunk two vessels and killed four sailors. In late October 2024, a headline in gCaptain read, “Red Sea Is Now So Dangerous Even NATO Warships Are Avoiding It.” “The United States Navy continues to send warships through the Red Sea, but its mission to protect merchant ships – Operation Prosperity…

Special Guest Blog Post written by Matt McKinney, Co-Founder and CEO of Loop   I spend most of my time with supply chain and innovation leaders at major enterprises who are sitting on significant AI budgets but struggling to show measurable business impact in an increasingly complex and volatile supply chain environment.   These conversations have evolved dramatically. A year ago, executives were asking basic questions about AI feasibility. Today, the questions have shifted to strategic implementation at enterprise scale.   Based on hundreds of these discussions, three questions consistently emerge that separate companies making transformational progress from those stuck in pilot purgatory.   How do we move from AI experiments to enterprise-scale impact?   Most organizations have yet to see organization-wide, bottom-line impact from AI use. This is the strategic challenge keeping C-suite leaders awake at night.   The problem isn’t the technology. It’s the application of the technology. Too many enterprises are trying to treat AI like a magic wand they can bolt onto existing systems. But garbage in, garbage out. If your underlying data is fragmented and inconsistent, AI won’t solve your problems; in fact they’ll get worse.   At its core, anything automated is powered by…