Bruce Welty

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…

Special Guest Blog Post from e2open From demand sensing to dynamic allocation, here’s how leaders turn peak season logistics into profit   Call it Q4, The Golden Quarter, or Peak Season—it’s the 100-day sprint through fall and winter holidays where profits soar, plans tighten, and one slip leaves you scrambling through January. Across peak season logistics, most companies obsess over outbound speed. Yet the real winners are brands that master inbound logistics flow months earlier. Getting the right inventory to the right locations isn’t glamorous, but it’s where the margins live. Every peak season playbook demands strategic evolution. Rerun last year’s strategy this quarter and you’ll sink—unless you’ve built sophisticated inbound logistics capabilities, airtight supplier partnerships, and precise forecasting to anticipate market shifts. With the right strategy, you can stride into the Golden Quarter. That means: Smarter forecasting that detects demand shifts before they hit Sharper allocation that puts inventory exactly where it’s needed Replenishment planning that maintains flow under pressure On Time in Full (OTIF) execution that keeps products moving and shoppers happy In peak season, accuracy wins. Miss inbound positioning, and your bottom line misses too.   Inbound planning: The difference between stockouts and sales Golden Quarter demand…