Daniel Shemtob

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 Chris Cunnane with InterSystems   Demand sensing and demand forecasting are both crucial aspects of optimizing supply chains, but they do have slightly different functions in their approach and focus. Demand sensing uses real-time data and analytics to identify and respond to immediate demand fluctuations, while demand forecasting uses historical data to predict future demand over a longer period (months or years). Different methods, such as statistical modeling and machine learning, are used to enhance the accuracy and adaptability of these processes. Both areas are crucial for companies when it comes to projecting sales, managing inventory, and coordinating replenishment. In the end, the goal is to accurately predict customer demand by using predictive models to forecast future demand. InterSystems surveyed 450 senior supply chain practitioners and stakeholders to examine key supply chain technology challenges, trends, and decision-making strategies across five key use cases: fulfillment optimization; demand sensing and forecasting; supply chain orchestration; production planning optimization; and environmental, social, and governance (ESG). This blog focuses on demand sensing and forecasting.   Current State of Demand Sensing and Forecasting According to the survey results, when asked how they currently forecast demand, 36% of respondents indicated that…