Todd Kovi

Stay in the loop with Supply Chain Now! We’ve got all the latest episodes, interviews, conversations, and livestreams from this week right here. On Monday, we released 2 new episodes! On Supply Chain Now, hosts Scott Luton and Ben Harris welcomed two bold and innovative CEOs to the podcast: Cloe Guidry-Reed with Hire Ground and Pierre Laguerre with Fleeting. On This Week in Business History, guest host Kelly Barner remembers key innovations, inventions, and firsts that took place between April 12th and the 16th, including Metallica’s legal stand against Napster, the relative advantages and costs of the Pony Express and postage stamps, and two ‘Titanic’ operations – the RMS Titanic and McDonald’s Inc. On Tuesday, we released 2 new episodes. On this episode of Logistics with Purpose, powered in partnership with Vector Global Logistics, our hosts Scott Luton, Enrique Alvarez, and Kevin Brown sat down with Good360 CEO Matt Connelly to learn more about delivering goods – and good – in the era of disruption, globalization, and digitization. On TECHquila Sunrise, host Greg White sat down with Peter Stangeland, Chief Commercial Officer of DB Schenker, to talk about the exciting progress his teams have made in clearing the path to…

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…