More
October 8, 2021
This Week In Supply Chain Now: October 4th – 8th
Stay up to date on all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now! Kelly Barner and Scott Luton brought in the week with an episode of Dial P for Procurement on Supply Chain Now. For this episode, the P in Dial P is for payments. Kelly and Scott welcome Kris Lance with Una and Jim Luff with Chosen Payments, to the show. For Monday’s This Week In Business History, Scott covers the many hats that Ray Kroc wore as he built the Mcdonald’s global brand. On Tuesday, we released another episode of TEKTOK with Karin Bursa and special host Kevin L. Jackson. This episode is all about BLOCKCHAIN, from the basics to process improvements. On Wednesday’s episode of Supply Chain Now, Scott and Greg welcomed Tim Holland, Contingent Workforce and Talent Acquisition Leader and Barb Sexton Vice President, Partner Development for Corporate Services with OMNIA Partners, LIVE to the show as they broadcast from the OMNIA Partners 2021 Connections Event in Miami. Scott and Greg had another opportunity to chat with OMNIA Partners leaders at the 2021 Connections Event as they welcomed Stephen Laratta, Vice President of Partner Development, MRO and Facilities…
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…