Sean Kelly

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…

Zebra Robotics Automation is revitalizing AMR-assisted picking to optimize fulfillment efficiency and productivity with up to 30% fewer robots need in comparison to legacy systems. Their innovative approach can help significantly lower your cost per unit by combining workers and robots into a streamlined partnership that increases throughput without sacrificing performance rates, accuracy or reliability. Maximize AMR-assisted picking efficiency with Zebra’s three-fold strategy: Balanced Utilization: Use low-cost carts for buffering instead of extra robots or labor, reducing costs. Increased Capacity: Carts boost pick density and eliminate AMR wait times, handling 150-300% more items while cutting robot needs by up to 30%. Optimized Workflows: Seamless coordination ensures every picker and robot stays productive—no idle time, no wasted effort.   Download the “Unlocking Fulfillment Potential” eBook here to learn more