Tracy Hansen

Stay up to date on all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now! On Monday we started the week off with an episode of Supply Chain Now with Scott Luton and TEKTOK host Karin Bursa! The two welcomed COO of SAPICS, Jenny Froome, and the Business Development Executive at SAPICS, Tonya Lamb. On Tuesday, we published a new episode of This Week In Business History with host Kelly Barner. On Tuesday, Scott reflects on the 2021 global summit with Lora Cecere, Kelly Barner, and Kevin L. Jackson. These four talk about some of the most impactful conversations that happened during the event, including effective leadership and how it goes hand in hand with supply chain planning, and more. On Wednesday we released an episode of Logistics With Purpose. This episode features Henok Berhanu, Founder & CEO of Carry 117, and Ashley Bohinc, Executive Director of Carry 117. On Thursday we published a new episode of the Freight Insider with host Page Siplon. Page welcomed Christian Fischer, President and CEO of Georgia Pacific, to the show. On Friday, we published the podcast version of our Monday Supply Chain Buzz livestream, with special guest,…

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…