Insights & Articles

Supply Chain Infonomics: The New Paradigm in Data-Driven Forecasting

The Future of Supply Chain Analytics

Exploring how advanced analytics and AI are transforming supply chain management and decision-making processes.

Understanding Supply Chain Infonomics

Learn how to treat operational data as a valuable asset and leverage it for competitive advantage in your supply chain operations.

Demand Forecasting Best Practices

Master the art and science of demand forecasting with proven techniques that improve accuracy and reduce inventory costs.

The ROI of Data-Driven Supply Chain Optimization

Learn how organizations are achieving measurable returns by implementing advanced analytics in their supply chain operations. Real metrics, proven results.

Reinventing Demand Planning: How Agentic AI Tackles the Complexity of Modern Supply Chains

Classical forecasting is failing. Discover how a new approach, Agentic AI, uses a team of specialized AI agents to master the complex, overlapping demand drivers that disrupt modern supply chains, transforming planning from a reactive chore into a strategic advantage.

Reinventing S&OP with AI: From Static Forecasts to Continuous Decision Intelligence

Traditional S&OP processes, built around static monthly cycles and spreadsheet-based forecasts, are no longer sufficient for today's volatile supply chains. Discover how AI-driven S&OP enables continuous planning, real-time visibility, and faster decision-making.

Machine Learning in Demand Forecasting: Beyond the Hype

A practical guide to understanding when and how machine learning adds value to demand forecasting. Real-world insights from successful implementations.

Closing the Gap Between Forecast Accuracy and Execution in S&OP

Many organizations achieve strong forecast accuracy metrics yet continue to struggle with execution. Discover why forecast accuracy alone is insufficient and how linking forecasts directly to execution metrics transforms S&OP outcomes.

Real-Time Demand Sensing: Detecting Demand Shifts Before They Impact Inventory

Most demand planning failures don't come from bad forecasts—they come from late detection of change. Discover how real-time demand sensing enables organizations to detect demand shifts early and respond before service levels and costs are impacted.