Game-changing personalization AI that drives business results

From the early days of Dynamic Yield, AI has been a cornerstone of our product. We view it as a tool that empowers our customers to distill complex consumer behavior patterns into actionable insights, decipher underlying motivations, intent, and, to some extent, even emotions.

At Dynamic Yield, we deliver a comprehensive suite of personalization AI solutions that empower brands holistically across four key dimensions:

1. Insights: Use Predictive Targeting to generate fast, accurate data for informed decision-making, uncover additional targeting options to drive the most uplift in revenue for each campaign

2. Creative: Use Copywriter and Stability.ai to accelerate creative processes for diverse audiences, create copywriting texts and stunning visuals in seconds with AI, and unleash your creative genius with minimum effort.

3. Decisioning: Unlock state-of-the-art machine learning predictions at scale with AdaptML and predict next best interests, affinity, and products to achieve unmatched personalization precision.

4. Conversation: Simulate natural, in-store experiences with personalized recommendations with Shopping Muse.

Experience OS is channel agnostic and AI is natively integrated throughout, making AI activation seamless across channels and touchpoints.

For example, a brand could surface visually similar items, using our VisualML algorithm, across triggered emails, web, and app. Additionally, our AI decisioning can be extended beyond Experience OS; a brand can share our AI enhanced affinity profiles to any external platform or endpoint via API. Lastly, Shopping Muse can be launched from any place on your website, as a chat icon, as a widget, or even in the navigation bar to complement search.

AdaptML sits at the core of our system to automate decision-making and intensify personalization within Experience OS. It contains:

NextML: NLP self-training models to predict and recommend the next relevant item. Leverage NextML to refocus distracted users by predicting their next best item, create a “pick up where you left off experience” with more relevant recommendations for returning visitors, or to recommend more relevant items in triggered messages to cart abandoners.

AffinityML: Recurrent Neural Networks to enhance each user’s affinity profile with predicted intent. Leverage AffinityML to identify one time purchases and recommend complementary items that share similar attributes, find the most relevant items for each customer across categories, and bring customers back after they’ve completed a purchase with highly tailored and predictive affinity-based recommendations.

VisualML: Vision Transformer models to identify and recommend visually similar products. Leverage VisualML to recommend visually similar items on out of stock product pages, help users find similar items within a category page, or recommend visually similar items that might be a better fit than an item that was left in a user’s cart.

You can learn more about AdaptML here.

Shopping Muse is unique from virtually all other conversational bots in the market. The recommendation algorithm behind Shopping Muse leverages several components of Dynamic Yield’s industry-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. Learn more about Shopping Muse here.

For Dynamic Yield, Responsible Personalization isn’t just a philosophy, it is the core framework and technological foundation underpinning Experience OS that puts customer privacy and data protection at the forefront of everything we do. Learn more about Responsible Personalization at Dynamic Yield here.

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