Alexandra Henson

Get ready to increase your supply chain IQ! We’re looking back on the latest episodes, interviews, conversations, and livestreams from this week right here. On Monday, we released 2 new episodes! In this episode of Digital Transformers,hosts Kevin L. Jackson and Scott Luton learn about the power of the IBM cloud ecosystem from Brian Fallon, Vice President of Global Sales for the IBM Partner Ecosystem. On This Week in Business History, Kelly Barner dives into the rise of Warren Buffet, the completion of the transcontinental railroad, some interesting business birthdays, & the invention of the tubeless tire. On Tuesday, we released 2 new episodes! On this episode of Supply Chain Now, Gugulethu Hughes, Founder of Clinch, joins our hosts Scott and Greg to share the number one challenge for the startup economy in Africa, why corporate social responsibility programs are falling short in eliminating child labor, & more. On TECHquila Sunrise, host Greg White welcomed stealthy startup co-founder and Venture Partner at Kubera Venture Capital, Sena Zorlu, to look into the minds of investors, revealing what makes them tick and how founders can communicate clearly with them. On Wednesday, we released an episode in our Reverse Logistics Series in collaboration…

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…