This panel of experts and practitioners discuss how to align your supply with the volatility in demand. As well as, how to use existing data to inform pricing strategies, promotions, and shape the demand to optimize your supply. 

Highlighting examples of how machine learning and an in-memory planning engine are designed to support demand-driven planning and forecasting capabilities. A discussion around how companies can simplify data management, streamline common planning processes, and provide analytics with sophisticated workflow creation and deployment features.