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August 14, 2020

This Week on Supply Chain Now: August 8th – 14th

Another BIG week at Supply Chain Now! If you missed an episode, get a quick summary and listen here! We published a great Logistics with Purpose episode on Saturday the 8th, featuring Shane Buerster with Z Beans Coffee. Supply Chain Now · “Logistics with Purpose: Shane Buerster with Z Beans Coffee”       On Monday, Scott and Greg spoke with Keith Saunders, Vice President of Direct Materials and Sourced Finished Goods at Zep Inc.   Supply Chain Now · “Supply Chain Front & Center: Keith Saunders with Zep Inc.”     Stephanie Thum talked about relentlessly focusing on the customer on the podcast on Tuesday with Scott and Greg.   Supply Chain Now · “Relentlessly Focused on the Customer: Stephanie Thum with Practical CX”     On Wednesday, we published this week’s Supply Chain Buzz, which featured an excellent interview with Andrew Kelley, the CCO of Boxlock.   Supply Chain Now · “The Supply Chain Buzz for August 10th with Featured Guest Andrew Kelley from BoxLock”   On Thursday, we shared another great episode in the TECHquila Sunrise series with Greg White, where Greg shares the latest investments, acquisitions, innovations, and glorious implosions in Supply Chain Tech every week.…
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…