Matt Spooner

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…

The story of the manufacturing industry has been one of progress. Few manufacturers continue to produce the same products as they did in their infancy years. In order to remain competitive, manufacturers must continue to evolve their products to meet the demands of the marketplace. But meeting consumer demand is only half the battle — the other half is staying up to speed with industry advancements. New technology brings a host of changes that manufacturers must recognize. For example, increasing dependence on automation leads to the need for more skilled workers who understand these advanced systems. If workers cannot adapt successfully, organizations could find themselves struggling to keep up with the rest of the industry. To remain competitive in this dynamic environment, organizations should have several tools at their disposal that go beyond the physical equipment and technology innovations used in their facilities. These tools are ideas manufacturers can keep in their toolbox and use to produce next-level productivity. For example, one tool can be an investment in regular maintenance, which can ensure that machinery stays in service for as long as possible. This results in higher productivity and fewer costly downtime periods. For more ideas manufacturing companies should keep…