What is Shopping Muse?

Shopping Muse is a generative AI assistant that helps shoppers find products through natural language conversation and visual searches, mimicking the experience of a personal in-store stylist.

How does Shopping Muse handle vague search terms?

It uses advanced NLP to understand aesthetic-driven or unconventional terms like 'quiet luxury' or 'summer wedding guest,' providing relevant results even without specific product keywords.

Does it support image-based searches?

Yes, it includes a Visual Search feature where users can upload photos to find visually similar items within the retailer's catalog.

Is there an API available for developers?

Yes, the Shopping Muse API allows developers to integrate the conversational discovery engine into custom chat interfaces and mobile apps.

How is the pricing structured?

Dynamic Yield uses a quote-based enterprise pricing model. Costs typically depend on traffic volume, the number of modules selected, and the level of technical support required.

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Shopping Muse by Dynamic Yield

An AI-powered conversational assistant that translates natural language and visual cues into personalized shopping journeys and tailored product recommendations for eCommerce.

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Rating

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4 months ago

Listed

Shopping

eCommerce

Personalization

AI Assistant

Conversational AI

Visual Search

Product Discovery

Customer Experience

Retail Tech

Tool information

Provider

Dynamic Yield (Mastercard)

Platforms

Web

Mobile Web

iOS

Android

Languages

English

API Available

Yes

Added to directory

4 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Contact

About Shopping Muse by Dynamic Yield

What the tool does and who it's for

Shopping Muse is an advanced generative AI shopping assistant developed by Dynamic Yield (a Mastercard company). It functions as a conversational retail guide that translates colloquial language and complex consumer intent into highly personalized product recommendations. Beyond simple keyword search, it understands nuanced queries like 'beach formal' or 'cottagecore' and leverages deep learning to suggest coordinating accessories and outfits. The tool integrates with Experience OS to provide a seamless, human-like discovery journey across web and mobile platforms, supporting visual search (image uploads) and proactive follow-up questions to refine results.

Key capabilities

Natural Language Processing: Interprets complex, colloquial, and intent-driven search queries.

Conversational Discovery: Proactively asks follow-up questions to narrow down product selections.

Visual Search: Allows users to upload images to find similar or matching products via VisualML.

Generative Product Grids: Dynamically populates product results based on real-time chat context.

AffinityML Integration: Personalizes results based on a user's unique profile, past behavior, and intent.

Omnichannel Support: Provides a consistent conversational experience across web and mobile applications.

Automated Implementation: Utilizes pre-defined CSS selectors and templates for quick site integration.

Advanced Reporting: Tracks custom events like engagement, clicks, and revenue attribution directly in Experience OS.

Pricing

Contact — plans below

Enterprise

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