Main Purpose
The main purpose of Dynamic Yield's Shopping Muse is to provide an advanced generative AI tool that revolutionizes how consumers search for and discover products in a retailer's digital catalog.
Key Features
- Generative AI Recommendations: Shopping Muse translates consumers' colloquial language into tailored product recommendations, complete with suggestions for coordinating products and accessories.
- Contextual and Behavioral Insights: The solution combines contextual and behavioral insights to produce recommendations that are informed by the retailer's keywords, visual cues, and the consumer's own affinity.
- Visual Similarity Recommendations: Integrated advanced image recognition tools allow retailers to recommend relevant products based on visual similarities to others, even if they lack the right technical tags.
- Personalization and Affinity: Shopping Muse takes into account the shopper's affinity, based on session browsing history or past purchases, to better estimate future buying intent and ensure suggested items are complementary.
Use Case
- Enhanced Product Discovery: Shopping Muse helps consumers explore modern aesthetics, trending looks, dress codes, and unconventional search terms with ease, providing tailored product recommendations that match their unique profile, intent, and affinity.
- Improved Search Experience: The tool reduces frustration by helping consumers find the perfect item even when they don't know how to properly describe it in words, using advanced image recognition and personalization techniques.
- Retailer Optimization: Shopping Muse enables retailers to deliver personalized and immersive online shopping experiences, leveraging generative AI to meet consumer standards and increase customer satisfaction.
