Shopping Muse is unique among conversational discovery tools in the market due to its deep integration with Dynamic Yield’s industry-leading personalization and recommendation engine. It leverages advanced components of Dynamic Yield’s deep learning capabilities – such as Visual Similarity and ML-powered Affinity – to deliver highly relevant product suggestions. These recommendations are dynamically informed by both in-session behavior and historic customer profile data, ensuring real-time personalization at every touchpoint.

What sets Shopping Muse further apart is its generative AI capabilities, which now power a suite of conversational commerce experiences across the customer journey. These include:

– Product bundle recommendations in chat: dynamically generate complete outfit or product bundles based on user queries and preferences.

– “Complete the Look” widgets on product detail pages (PDPs): generative modules suggest complementary items styled around the product being viewed.

– Conversational discovery templates including floating chat interfaces, themed search experiences, product finders, and personalized “Just for You” pages.

– Conversational refinement: Users can refine results using natural language or image inputs, enabling a more intuitive and engaging shopping experience.

These innovations are designed to make Shopping Muse not just a recommendation engine, but a true shopping companion – one that understands, inspires, and guides users through a seamless, personalized journey.