Shopping Muse by Dynamic Yield

Shopping Muse by Dynamic Yield is an AI-powered personal shopping assistant designed to transform online retail experiences by guiding customers through extensive product catalogs with natural language conversations. Leveraging advanced machine learning models, including Natural Language Processing (NLP) and image recognition, Shopping Muse interprets user queries—whether they're searching for specific items, exploring fashion styles, or seeking gifts for special occasions—and delivers personalized product recommendations that align with individual preferences and current trends. Key features include AffinityML, which predicts customers' next purchases through AI-driven affinity profiling, and VisualML, enabling users to upload images of desired looks to receive tailored suggestions, mimicking the experience of a personal shopper. For anonymous visitors, Shopping Muse utilizes industry-leading data to showcase trending products nearby, ensuring a customized experience for every user. The solution is highly customizable, allowing brands to align the assistant's tone, appearance, and style with their unique identity. Designed for industries with large, diverse product catalogs—such as fashion and furniture—Shopping Muse simplifies the shopping journey, accelerates decision-making, and enhances conversion rates by making online shopping as intuitive and engaging as conversing with a knowledgeable friend.