As the pandemic took control of the global supply chain, high demand volatility and ongoing uncertainty led to massive changes in forecast accuracy.
Henkel, a leading global consumer goods company, realized that they must go beyond demand planning, simply reacting to orders, and develop an AI-powered demand sensing and forecasting capability that leverages a broader set of demand drivers.
In this case study discussion, hear from Henkel on how they expanded adoption of AI to:
- Control the ever-increasing complexity and disruption in its supply chain to improve forecast accuracy
- Roll out a fundamental process change backed by intensive training and change management
- Gain sustained competitive advantage through digital transformation
