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Shopping Muse by Dynamic Yield

AI-powered conversational shopping that feels personal

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What Is Shopping Muse by Dynamic Yield?

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Shopping Muse by Dynamic Yield is an AI-powered conversational shopping assistant built for ecommerce and retail brands. It uses natural language processing, image recognition, and personalization algorithms to understand shopper intent and recommend relevant products, bundles, and content in real time.

Retailers can embed Shopping Muse across websites, apps, and other digital touchpoints to guide customers from inspiration to purchase. By transforming static catalogs into interactive discovery experiences, the tool helps customers find what they want faster while boosting engagement and conversion.

Shopping Muse is built with enterprise-grade privacy and compliance standards, including GDPR, CCPA, SOC II, ISO 27701, ISO 27017, and ISO 27018, making it suitable for large and regulated retail organizations.

Quick Snapshot

Shopping Muse helps retailers turn large product catalogs into curated, conversational shopping journeys that feel like talking to an expert stylist. By understanding intent and behavior in real time, it increases product relevance, engagement, and conversion.

Works on: Web

API

Other
Pricing Model: Cannot determine the price.
Fits on: AI Assistants & Chatbots

Checkout Conversion Optimization

E-commerce & Retail AI

Marketing & Sales AI

Product Recommendations

Visual Search & Try-On
Affiliate Program: We could not identify an affiliate program.
API Availability: We could not identify whether an API is available.
Key Features: Turn static catalogs into guided discovery

AI-driven, deeply personalized recommendations

Enterprise-grade privacy and compliance built in
Audience: ecommerce retailers

online marketplaces

retail marketing teams

digital product managers

merchandisers

customer experience teams
URL: https://www.dynamicyield.com/shopping-muse

Screenshot

Key Features of Shopping Muse by Dynamic Yield

Conversational AI interface

Understands natural-language shopper queries to deliver relevant responses and product recommendations, making online shopping feel like a human conversation.

Personalized recommendations

Uses multi-faceted machine learning and customer behavior data to surface tailored products, bundles, and content in real time.

Image and intent recognition

Combines NLP and image recognition to better understand shopper intent and context, improving the accuracy of product matches.

Multi-channel embedding

Can be integrated into websites, mobile apps, and other digital touchpoints to power consistent AI-driven shopping assistance across channels.

Enterprise-grade compliance

Built with privacy and security standards such as GDPR, CCPA, SOC II, ISO 27701, ISO 27017, and ISO 27018 to support enterprise retail requirements.

Use Cases for Shopping Muse by Dynamic Yield

Conversational product discovery

Allow shoppers to use natural language to describe what they are looking for and receive highly relevant product suggestions, reducing friction in the browsing experience.

Personalized recommendations

Leverage behavior and preference data to serve tailored products, bundles, and content that match each customer’s intent and style, increasing conversion and average order value.

Guided inspiration journeys

Transform static product catalogs into interactive discovery flows that guide customers from initial inspiration to final purchase across web and app experiences.

Digital merchandising support

Help merchandisers surface the right mix of products in context, using AI to adapt recommendations based on real-time shopper interactions.

Omnichannel retail experiences

Embed AI shopping assistance across multiple digital touchpoints so customers receive consistent, personalized guidance wherever they engage with the brand.

Frequently Asked Questions

What is Shopping Muse by Dynamic Yield?

Shopping Muse by Dynamic Yield is a generative AI shopping assistant that enables conversational, personalized product discovery and recommendations for ecommerce and retail brands across their digital channels.

How does Shopping Muse improve online shopping experiences?

Shopping Muse lets customers describe what they want in natural language and then uses AI to surface relevant products, bundles, and content in real time, turning static catalogs into guided, conversational discovery journeys.

Who is Shopping Muse designed for?

Shopping Muse is designed for ecommerce retailers, online marketplaces, and retail teams such as marketing, digital product, merchandising, and customer experience departments managing digital shopping experiences.

Is Shopping Muse compliant with privacy regulations?

Yes, Shopping Muse is built with enterprise-grade privacy and security, including compliance with GDPR, CCPA, SOC II, ISO 27701, ISO 27017, and ISO 27018 standards.

How can retailers implement Shopping Muse on their sites?

Retailers integrate Shopping Muse into their website, app, or other digital touchpoints, connect it to their product catalog and personalization setup, and then configure experiences so shoppers can interact with the AI assistant in context.

What does Shopping Muse cost?

Pricing is not publicly disclosed; retailers are asked to book a demo with Dynamic Yield to discuss tailored pricing based on their needs and scale.