Simpler shopping, faster decisions, increased conversion.

Shopping Muse is best suited for industries with large, diverse product catalogs. Specifically, we’ve found fashion and furniture brands to achieve the most value with Shopping Muse and conversational commerce.

Shopping Muse is a plug and play solution, eliminating the hassle of a complicated set up. Once connected, marketers have the opportunity to use an intuitive interface to customize Shopping Muse to match their brand’s tone of voice, look and feel, and style.

Yes! Shopping Muse isn’t just equipped with vast industry expertise and knowledge of your product catalog – it also takes into account contextual data (i.e. weather in the user’s location), shopping and browsing history, and the customer’s unique affinity profile. During the conversation, Shopping Muse combines all of these data points with the customer’s query to suggest the most relevant products for each individual customer.

Shopping Muse is unique from virtually all other conversational bots in the market because it is integrated with Dynamic Yield’s powerful personalization and recommendation capabilities. The recommendation algorithm behind Shopping Muse leverages several components of Dynamic Yield’s Gartner-Leading deep learning engine, including Visual Similarity and ML-powered Affinity. Additionally, all contextual and behavioral data Dynamic Yield collects (both in-session and historic, based on the customer profile) are used in real-time to ensure Shopping Muse recommends the most relevant and engaging products for each individual user.

We’re thrilled that you’re interested in learning more about Shopping Muse. To sign up for Early Access, fill out the form below.