Paul-Emile Gras

About the Author

Paul-Emile Gras is a distinguished expert in supply chain management and data analytics, with over two decades of experience in retail operations and predictive modeling. Holding advanced degrees in operations research and business analytics, he has consulted for leading global retailers, optimizing inventory and demand forecasting strategies to drive efficiency and profitability. Gras's passion for bridging theoretical frameworks with practical applications shines through in his writing, making complex concepts accessible to professionals at all levels. His seminal work, 'Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management, 14),' has become an essential resource for practitioners seeking to harness data-driven insights in dynamic market environments. Beyond academia, Gras frequently speaks at industry conferences, advocating for innovative uses of analytics in sustainable supply chains.