Shopping Muse by Dynamic Yield

Shopping Muse by Dynamic Yield

AI-powered personalized shopping assistant for e-commerce.

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About Shopping Muse by Dynamic Yield

Shopping Muse by Dynamic Yield is an AI-powered shopping assistant designed to enhance the online shopping experience by providing personalized product recommendations and tailored discovery journeys. It leverages customer behavior and preferences alongside real-time data to create intuitive, highly relevant product suggestions, driving engagement and conversions for e-commerce businesses. This tool is aimed at retailers and brands seeking to offer hyper-personalized, efficient, and engaging digital shopping experiences.

Latest News about Shopping Muse by Dynamic Yield

CDO Magazine · Oct 15, 2026

Michael Kors Adopts Mastercard’s AI-Powered "Shopping Muse" to Aid Customers

Fashion retailer Michael Kors has adopted Mastercard’s AI-powered shopping assistant Shopping Muse. The retailer has integrated with its US website to make ‘Shopping Muse’ available to its customers.

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Mastercard · Aug 20, 2026

What Is MACH Architecture: Things You Need to Know

Understand MACH architecture and how it enables faster, scalable digital experiences with greater flexibility and personalization.

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Mastercard · Aug 19, 2026

MACH Alliance Certified Personalization Vendor

Choose a certified personalization platform built for MACH Alliance architecture and future-ready digital experiences.

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Mastercard · Aug 08, 2026

Headless Commerce: A Complete Technical Guide

Learn what headless commerce is, how it works, and why brands are adopting it. A guide for marketers and technical teams.

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Tycoonstory Media · May 30, 2026

Ecommerce Search Platforms Driving Retail Growth 2026

Explore the best ecommerce search platforms in 2026 that improve product discovery, boost conversions, and drive retail growth.

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Tycoonstory Media · May 30, 2026

5 Ecommerce Search and Discovery Platforms for Retail Growth in 2026

For retail brands, the fastest route to new ecommerce revenue in 2026 is better product discovery. Searchers arrive with intent, yet Baymard's 2024 benchmark found that 41% of ecommerce sites still fail to support the eight core search query types shoppers use, and 46% of desktop, 58% of mobile, and 64% of app experiences scored

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