Renyu Zhang

About the Author

Renyu Zhang is a distinguished scholar and practitioner in the field of supply chain management, with a focus on leveraging data analytics to drive business decisions. Holding advanced degrees in operations research and industrial engineering, Zhang has spent over a decade consulting for major retail corporations, where he developed innovative models for demand forecasting that integrate machine learning with real-world operational constraints. His work bridges the gap between theoretical predictive analytics and practical implementation, helping organizations optimize inventory, reduce costs, and enhance customer satisfaction. As an active researcher, Zhang contributes to leading journals and speaks at international conferences on the transformative power of data in retail. His book, Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics, published in the Springer Series in Supply Chain Management, serves as a cornerstone resource for professionals seeking actionable insights in an increasingly data-driven industry.