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October 3, 2025

Modified Agile for Electronics Development: A Smarter Path to High-Value Solutions

Leveraging ERM to navigate emerging tariffs and supply chain risks With recent tariff hikes and geopolitical shifts, supply chain risks are more urgent than ever. 63% of businesses reported higher-than-expected supply chain losses despite increased risk management efforts in recent years. Leveraging ERM to navigate emerging tariffs and supply chain risks explores the distinct challenges of a stressed global market and shows how ERM can enhance efforts in identifying, escalating, and responding to emerging supply chain threats.   Key areas explored in the guide:   Supply chain risks affected by increased tariffs. Why engaging ERM to address supply chain risks is crucial. 8 proactive strategies for addressing emerging supply chain risks.   Ready to start engaging ERM to respond to emerging supply chain risks with agility and speed?   Download the free guide now
global supply chain
February 3, 2026

The Value of a Data-Driven Approach to Demand Sensing and Forecasting

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…