Tracy Hansen

Turn data into insight – map, monitor, and mitigate fortced labor risks across your value chain. Since the Uyghur Forced Labor Prevention Act (UFLPA) went into effect in 2022, sub-tier supply chain visibility has become an increasingly critical and ubiquitous prerequisite for import compliance. Automotive companies, due in no small part to their highly complex supply chains, are among the hardest hit by this requirement of anti-forced labor and ESG regulations. A recent study by Sayari analysts found that 95% of leading OEMs’ exposure to forced labor risk comes from sub-tier suppliers. The ability to identify and mitigate risks throughout their value chains is critical for OEMs aiming to minimize operational disruptions, avoid detentions, and maintain competitive advantage. Download the report to learn how Sayari is overcoming barriers to supply chain visibility, enabling OEMs to map their sub-tier supply chains, identify indirect exposure to forced labor risk, and foster greater supply chain resilience in an increasingly dynamic trade landscape. DOWNLOAD NOW

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…