This episode delves into the 'Chameleon Effect' and its impact on consumer behavior across various retail environments. We explore how AI and store-level data can uncover subtle variations in shopper behavior and enable more effective strategies.

This episode promises to shed light on the intricate relationship between stated consumer preferences, actual purchase decisions, and the imperative of retailer-specific strategies in the fast-paced retail landscape.

Related content you might be interested in:

• Uncovering Latent Shoppers - Bridging the Gap Between Stated Preferences and Actual Shopper Behavior
• The Future of Category Management: Harnessing the Power of Generative AI & Natural Language Models (NLM)
• Deconstructing the Out-of-Stock Problem With AI
• HIVERY's AI uncovers latent shopper insights & gains industry recognition