Donna Mullins

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…

Scope 3 emissions reportedly account for more than 70% of businesses’ carbon footprints. That huge percentage gives an indication of just how critical supply chain sustainability efforts are to the planet. Thankfully, a growing number of eco-friendly innovations are helping reshape global supply chains. Supply Chain Sustainability: An Industry Imperative in a Changing World It is becoming increasingly important for companies to accurately calculate their supply chain emissions and create an information-sharing ecosystem, according to Matthew Gardner, co-founder and managing partner of Sustainserv, a consulting firm that helps businesses implement sustainability strategies. Gardner said accounting for supply chain-related greenhouse gas emissions includes such challenges as: Data gathering of “materials, manufacturing processes, activities of second- and third-tier suppliers, and overall data governance and quality.” Calculation methodology that “reflects the realities of raw material sourcing, product manufacturing, transportation and distribution, and other life-cycle impacts that may affect reported greenhouse gas totals.” Supplier relationships, which can be strained as a result of emissions assessments. Businesses also need to keep in mind their relationships with consumers. PDI Technologies said 80% of U.S. consumers it surveyed were willing to pay more for sustainable products. “Between these statistics and the regulatory conversations that are happening in…