Justin Rainer

Your TMS and ERP aren’t enough. Despite billions spent on supply chain tech, most teams still run on PDFs, spreadsheets, and email threads—creating manual chaos that slows everything down. This eye-opening white paper reveals how top supply chain teams are using an invisible layer of AI to streamline operations—no dashboards, no extra headcount, no noise.   Download now to learn how to eliminate manual bottlenecks and give logistics teams their time—and sanity—back. Uncover the hidden gems – Manual workflows waste hours and create delays. Learn how to fix it fast. See real results – Cut shipment intake from 30 minutes to 10 seconds, without new tools or extra headcount. Discover smart automation – Learn how to turn messy emails and PDFs into structured data that flows seamlessly into your systems.   Ditch manual chaos and see how an ambient back office that never sleeps can save your team thousands of hours, eliminate costly errors, and unlock the true potential of your supply chain.   Download the white paper here to learn more  

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…