Demand Sensing at Henkel: A practical example of AI within the Digital Supply Chain

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
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