AI Helps Unlock the Hidden Reasons Behind a Dessert's Downfall

Curion AI Dessert Downfall
How can we uncover deeper insights to fix what’s holding our private-label dessert back?

Impact

Quantitative CLT testing combined with AI-driven qualitative solutions went beyond basic metrics to uncover key product attributes. However, the real value came from the Curion researcher who recognized there was a bigger story to uncover and used their expertise to deploy the right strategies to unlock those answers. By stepping in with an AI-enabled approach, they discovered deeper consumer sentiments and perceptions, helping the client make informed, targeted improvements.

Client Challenge

A supermarket chain giant couldn’t figure out why their private-label dessert was underperforming compared to competitors.

Initial research provided some answers, but not the full picture. They needed deeper, actionable insights.

Project Highlight

Curion developed a novel questionnaire designed to engage the consumer to provide additional natural reactions, then used AI to analyze thousands of open-ended responses, uncovering hidden insights and sensory desires that traditional research missed.

This approach went below surface-level issues into deeper consumer perceptions, offering a path to product improvement. 

The findings helped the client understand real consumer feelings, guiding targeted improvements for their next product iteration.

Curion and Blue Yonder Join Forces Expanding U.S. and U.K. Leadership in Product Insight and Innovation