Sebastian Bleser

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…

Supply Chain Now is the voice of the supply chain industry, and our hosts are experts in the field. Podcast listeners and webinar viewers tune in to hear the sage advice of host Jake Barr, heralded as an architect of global supply chain strategy and creator of “profit powerhouses.” Earning His Spot on Stage Barr today is the CEO of BlueWorld Supply Chain Consulting, which provides support to such Fortune 500 companies as Cargill, Caterpillar, 3M, PepsiCo, and Pfizer and helps them bring products to market. “We place a premium on accelerating speed to market by leveraging supply chain transformation,” he says. “The result is better operating margin performance and the opportunity to drive faster growth in revenue.” During his more than 33 years with Procter & Gamble, Barr served as the global director of supply network operations and led the end-to-end planning transformation project, which created control towers that now manage the daily business globally and earned him recognition as the architect for the company’s demand-driven supply chain strategy. He served on the MIT Center for Transportation & Logistics advisory council for its Supply Chain 2020 Project, was named to the League of Leaders for retail and consumer goods…