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December 3, 2021

This Week In Supply Chain Now: November 29th – December 3rd

Stay up to date on all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now! We started this week off with an episode of Supply Chain Now as Scott Luton chats with Lora Cecere and Dr. Madhav Durbha, Vice President of Supply Chain Strategy for Coupa Software. In Monday’s episode of This Week In Business History, Scott Luton talks about the history and development of video games- from the origins of Atari to the companies that are currently dominating the market. On Tuesday, we republished a classic TEKTOK episode with host Karin Bursa. In this episode, Karin shares six strategies for greater supply chain resilience. On Wednesday’s Supply Chain Now episode, Scott had a great conversation with culture expert, author, and speaker Ray Attiyah with Run Improve Grow. Scott and Ray talk about the key points in his new book, Fearless Front Line: The Key to Liberating Leaders to Improve & Grow Their Business. On Thursday, we released another episode of Supply Chain Now with host Scott Luton and special co-host Allison Giddens. Scott and Allison welcome Chad Molen with NIMBL, and Dan Reeve with Esker to the show. On Friday, we released the…
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…