Heiko Schwarz

How nearshoring, trade policy shifts, and digital infrastructure are transforming strategies in an era of disruption Global supply chains are being tested like never before. Rising tariffs, shifting trade policies, and the push for sustainability have accelerated a new era of resilience. Businesses are no longer simply reacting to disruptions—they’re proactively reconfiguring their networks with nearshoring, diversification, and advanced technology. The latest white paper from DP World explores how companies across the Americas are turning volatility into opportunity by investing in regional supply chains, leveraging economic zones, and adopting digital innovation to stay competitive in a fragmented global market. Download your copy today to see how you can position your business for strength and agility.   What You’ll Learn: This white paper provides actionable insights for supply chain leaders navigating geopolitical, economic, and technological change. Inside, you’ll discover: ✔ Why resilience now outweighs efficiency: 88% of businesses plan to reconfigure supply chains in 2025. ✔ How trade policies are driving regionalization: New U.S. tariffs are reshaping sourcing strategies and opening opportunities in Latin America. ✔ Where investment is accelerating growth: Nearshoring fueled $36B in foreign investment in Mexico in 2024, with DP World investing $2.5B in logistics infrastructure across Latin…

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…