Shopping Muse by Dynamic Yield
Dynamic Yield is a personalization technology that aids customers through large product catalogs, from discovery to conversion, using advan...
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What is Shopping Muse by Dynamic Yield?
Shopping Muse by Dynamic Yield is an advanced generative AI conversational assistant that revolutionizes how consumers search for and discover products in a retailer's digital catalog. It guides shoppers through large product catalogs from discovery to conversion using the most advanced AI language and personalization models. Shopping Muse understands customers' needs, suggests product bundles, and makes shopping feel like chatting with a friend.
The tool harnesses multi-faceted machine learning models incorporating NLP, image recognition, and personalization algorithms. Powered by AffinityML, it uses AI-powered affinity profiling to guess customers' next purchase. VisualML enables image recognition so customers can upload pictures of their perfect look and get suggestions like a real personal shopper. 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.
Shopping Muse is designed for fashion and furniture brands with large product catalogs. It re-creates the in-store human experience by translating consumers' colloquial language into tailored product recommendations, complete with suggestions for coordinating products and accessories. Consumers can explore modern aesthetics, trending looks, dress codes, and unconventional search terms like 'cottagecore' or 'beach formal' with ease.
What sets Shopping Muse apart is its deep integration with Dynamic Yield's industry-leading personalization and recommendation engine. Recommendations are dynamically informed by both in-session behavior and historic customer profile data, ensuring real-time personalization at every touchpoint. The generative AI capabilities power a suite of conversational commerce experiences including product bundle recommendations in chat, 'Complete the Look' widgets on product detail pages, conversational discovery templates, and conversational refinement using natural language or image inputs.
Shopping Muse by Dynamic Yield pricing
Pricing model: Free
No free tier or free trial available. Pricing details are not publicly disclosed on the website. Pro pricing is available upon request. Contact Dynamic Yield team by filling out the form to talk to a member for pricing information. The starting price is not disclosed and you must contact the provider for more information.
Shopping Muse by Dynamic Yield pros
- Handles large product catalogs effectively
- Advanced personalization models with AffinityML
- Deep understanding of audience and customer analysis
- Facilitates A/B testing for optimization
- Delivers personalized product recommendations
- Uses AdaptML technology for visual similarity
- Predicts user interests and next purchases
- Provides APIs for developers
- Enables large-scale deployment across websites
- Secure and privacy-compliant
- Takes less than a day to set up
- Integrates with entire Dynamic Yield tech stack
- Supports visual search with image uploads
- Handles complex colloquial queries like celebrity outfits
- 3.4x higher conversion rate for engaged customers
- 4.9x higher revenue per user
- 30% increase in average order value
- 5.5x more pages viewed per visit
Shopping Muse by Dynamic Yield cons
- Must handle large catalogs to be effective
- Complex AdaptML technology requires expertise
- Relies on external APIs for functionality
- Requires user personalization setup
- Limited to certain industries like fashion and furniture
- Too many features can overwhelm users
- Requires data compliance and privacy measures
- Varying performance across different channels