Guide customers through large product catalogs from discovery to conversion, using the most advanced AI language and personalization models.
Try it out this holiday season with a very special time limited offer, fully localized and ready to roll in days.
Your Holiday Gifting Muse
Hey there 👋 I’m here to help you find what you
need. How can I help you today?
I'm looking for an outfit for a
winter destination wedding in Bali
Sure, let’s find you the perfect outfit for a
winter destination wedding in Bali
Floral Elegance
MAMA Maxi Dress
$299
Long Halterneck Dress
$269
Halter Sleeved Dress
$219
Linen Blend Dress
$189
Puff-Sleeved Dress
$199
Open-Backed Chiffon
$154
Maxi Wrap Dress
$209
Strappy Chic
Lace Up Kitten Heels
$99
Chunky Heel Sandal
$299
Slide Heeled Sandal
$59
Ankle Strap Sandal
$49
Show me something bolder, like
a pop star would wear
Absolutely, let’s help you dress up
like a true pop-star!
Edgy Chic
Bow-Front Mini Dress
$349
Show Similar
Shoulder-Pad Dress
$129
Long-Sleeved Bodycon
$299
V-Neck Midi Dress
$199
Satin Kaftan Dress
$149
Off-Shoulder Blouse
$119
Jersey Slip Dress
$169
Show similar items to “Shoulder-
Pad Dress”
Sure, let’s find similar items to “Shoulder-
Pad Dress”
Similar to “Shoulder-Pad Dress”
Sequined Dress
$299
Metallic Mini Skirt
$159
Ribbed Jersey Dress
$199
Sequined Wrap Dress
$149
Cut-Out Bodycon
$179
Beaded Disco Dress
$319
Patterned Poplin
$399
I’m looking for an outfit for a winter destination wedding in Bali Show me something bolder, like a pop star would wear
Start Again
2026 Leader for 8 consecutive times
Personalization Engines Leader, 2019-2025
Forrester Wave Leader,
Q4 2024
Shopping Muse understands your customers’ needs, suggests product bundles, and makes shopping feel like chatting with a friend. It harnesses the power of multi-faceted machine learning models, incorporating NLP, image recognition, and personalization algorithms to ensure each shopping session feels as personalized as can be.
A leading luxury brand and early adopter of Dynamic Yield’s Generative AI, saw customers using Shopping Muse more engaged and more inclined to purchase.
Increase engagement by
688%
Reaching an average of 48.6 page views per customer.
Increase conversion rates by
652%
Representing 16% of all conversions on the site.
Drive ARPU increases by
825%
Generating an average revenue of $33.8 per customer.
The recommendation algorithm behind Shopping Muse leverages several components of Dynamic Yield’s industry-leading deep learning engine.
Shopping Muse accounts for each customer’s unique affinity, based on their customer profile, adding an added layer of immediate relevance to every recommendation and response.
Shopping Muse integrates contextual and behavioral data (both real-time and historic) to dynamically adjust recommendations, ensuring each user is presented with the most relevant products.
Deploy this plug-and-play solution in minutes. Once connected, use an intuitive interface to customize Shopping Muse to fit your brand.
Everything about Shopping Muse can be customized, pulling directly from your product feed to take the guesswork out of product recommendations.
Create a seamless customer experience between offline and online and ensure customers do not see products recently purchased in-store while shopping online.
Activate large and complex product catalogs and data feeds across multi-currencies, geographies, and languages.
Handle complex queries like “show me outfits from my favorite celebrity” and automagically show them results that actually understand them.
Shopping Muse integrates with everything Dynamic Yield integrates with, so whatever your tech stack, we’ve got you covered. And we’re MACH alliance members too.
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. It requires no work on your product feed, eliminating the hassle of a complicated set up.
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 this exclusive limited time offer, fill out the form below.
Learn how Shopping Muse can make delight your customers this holiday season. Fill out the form to talk to a member of our team.
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