London

February 12-13, 2019

London
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How AI-driven Sales Volume Forecasts Inspired Confidence in L’OR Coffee Line Extensions

Room 3 | 11:30-12:00 | Tuesday, February 12, 2019

AI-based modeling increases confidence in sales volume forecasts built on research samples of a couple hundred consumers. This case study shows how the Market Shaker AI volumetric model unlocked the potential of a new innovation for L’OR coffee by:

  • Integrating the right context for purchase through a realistic shopping situation;
  • recreating the multitude of individual behaviors with powerful AI, multiplying the power to predict each one’s behavior up to 10,000 times; and
  • considering each buyer as unique throughout the entire modeling process.

Thanks to AI’s enhanced understanding of consumer’s behavior, JDE had the confidence of thousands upon thousands of virtual consumers behind the launch of their innovation.

Presentation type:

  • Case Study Presentation

Subjects covered:

  • Effective vendor/client relationship management
  • Predictive analytics
  • Global/international research
  • New techniques – qualitative and quantitative

Takeaways:

  1. Realistic context is important to connect to unconscious shopper shortcuts.
  2. AI improves predictability.
  3. Accounting for individual behavior multiplies the power to predict.

Speakers:

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