Abhishek Gupta

The right match unlocks efficiency, visibility, and cost control—without drowning in unused features Special Guest Blog Post written by e2open   When picking a Transportation Management System (TMS), shiny features, slick dashboards, and buzzwords can be distracting. But here’s the truth: real ROI doesn’t come from having the most bells and whistles. It comes from finding a TMS that fits your transportation complexity like a glove.   Too simple, and you’ll outgrow it before the ink is dry. Too complex, and you’ll be paying for tools you don’t use. Nail the fit, though, and other KPIs like cost savings, faster execution, and happier customers will slide into place.   How to pick a TMS that fits your freight   Carriers and LSPs running on legacy systems miss out on the real-time visibility and cost control a modern TMS delivers, leaving them slower, less efficient, and easier to undercut. Let’s unpack how to look beyond flashy features and choose a TMS that works for your business:   Match complexity first. The biggest ROI driver is aligning your TMS with your transportation complexity. Get that right, and everything else follows.   Consider adaptability and scalability. Your TMS should grow with you. Look…

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…