Kim Reuter

It has been a big week (as usual) for Supply Chain Now! Did you miss an episode? Check them all out here: Listen as Daniel Studdard with the Atlanta Regional Commission, talks with Greg and Scott from MODEX 2020 about keeping freight moving:   Rodney Apple with SCM Talent Group joins Greg and Scott from MODEX 2020 to chat about securing top supply chain talent:   On Tuesday, Scott and Greg were joined remotely by Jan van Niekerk with SpotSee, to talk about leveraging technology to protect your shipments during transit:   Scott and Greg were joined by Bob Bova with Accuspeech Mobile from MODEX 2020 and discussed voice automating workflows:   On Thursday we published the new and improved Supply Chain Buzz, with Scott and Greg sharing and discussing the latest news and events in Supply Chain and beyond:   And to finish out the week, Mark Messina and Rick DeFiesta with Geek+ joined Scott and Greg for a discussion about COVID-19’s impact on consumer behaviors, warehouse operations, automation initiatives, and more:   Make sure you subscribe to Supply Chain Now so you never miss an episode and we will see you next week with all new livestreams and…

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…