Greg Davis

written by Deborah Dull, on site at GreenBiz 2026   It started over drinks, 80s music, and a shared frustration that has probably launched more good organizations than any strategic planning process ever has. The Circular Supply Chain Coalition, or CSCC, came out of a realization that a lot of the right work was already happening, in reverse logistics, in remanufacturing, in local procurement, in community-based value chains, but nobody had connected it. The people doing the work were not in the same room. The companies with the materials were not talking to the processors who could recover them. The states with enabling policies were not linked to the investors looking for exactly those environments. So the coalition became, as its founders describe it, a collector of collectors. The focus right now is on three priority waste streams: batteries, semiconductors, and e-waste. These were not chosen randomly. They have two elements in common. They carry geopolitical consequence, meaning the supply chains behind them are controlled by other countries and that is a known vulnerability. And they have business cases that a CFO can actually evaluate. That second part matters more than people in the sustainability world usually admit. The hub…

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…