Dynamic Yield Release Notes

Shopping Muse cart and checkout actions

New cart management and checkout initiation capabilities enable shoppers to move from discovery to purchase without leaving the Shopping Muse conversation.

• Manage shopping carts through Shopping Muse conversation

Shopping Muse now supports cart management within conversations, allowing shoppers to view cart contents, add products, and remove items.

• Initiate checkout directly from Shopping Muse

Shopping Muse can now initiate checkout directly from the conversation while continuing to use the merchant's existing checkout flow.

Compare products side by side in a Shopping Muse conversation

Shopping Muse now enables shoppers to view and compare product attributes in a table directly within the conversation. Supports up to 4 products and 8 attributes. Also supported on mobile devices.

Additional updates

• New Dynamic Yield sub-processor list: Now available through the Experience OS Privacy Center. Access our most up-to-date list of sub-processors, including the services they support, applicable data processing locations, and appropriate safeguards.

New Experience OS agents user experience

Discover Experience OS agent capabilities more easily

Experience OS agents now proactively suggest relevant skills and actions based on context, helping you discover new ways to use agents across Experience OS.

• Track agent activity in real time

Experience OS agents now provide visibility into the actions they are performing while completing tasks, making it easier to follow progress and understand outcomes.

• Agents now generate brand guidelines automatically

Experience OS agents can now generate brand guidelines automatically for each section, based on customer context, replacing a manual setup process with a review workflow and helping accelerate time to value.

New creative skills for Experience OS agents

• Generate brand-aligned designs across Experience OS

Experience OS Agents can now generate and edit designs across Experience Web (Dynamic Content, Recommendation, Overlay, and Notification campaigns), Experience Email, and Breeze, while adhering to your brand book.

• Generate on-brand copy from your brand book

Experience OS agents can now generate on-brand copy variations based on your brand book, helping keep content consistent with your brand voice and guidelines.

New analyst skills for Experience OS agents

• Create campaign plans with Experience OS agents

Experience OS Agents can now identify optimization opportunities and generate ready-to-run campaign plans based on your section's data, helping you move from idea to execution faster.

• Analyze Shopping Muse conversations

Experience OS Agents can now turn Shopping Muse conversations into merchandizing decisions: helping you understand shopper intent, uncover catalog gaps, and evaluate how conversations contribute to business outcomes.

• Generate recommendation program reports

Experience OS Agents can now generate executive summaries of your recommendations program, including performance trends, business impact, and optimization opportunities.

• Investigate performance drops faster

Experience OS Agents can now automatically detect performance anomalies against 28-days baseline, identify likely causes, and recommend next steps for investigation.

Shopping Muse awareness of user history and page context

Shopping Muse now adapts to each shopper's context. It picks up the page they're on and their recent activity, such as items in the cart and products they recently viewed or purchased, helping the assistant provide relevant suggestions from the very first message.

Experience Search for category pages

Create, manage, and optimize category page product rankings with Experience Search, using advanced ranking algorithms, analytics, personalization, and merchandising controls.

Additional update:

• Self‑service deletion of unused columns in API-based product feeds directly from Experience OS enables you to clean up your feed without risking active configurations.

Transform simple prompts into curated product recommendations with Semantic Algorithms

Semantic Algorithms enable marketers to create recommendation campaigns using natural language prompts, eliminating manual curation and feed tagging.

Additional updates:

• Browse your customers' conversations with Shopping Muse agent, and gain insights into how conversations differ across shopper segments, journey stages, and intents.
• You can now set page context identification to wait until your app loaded the updated context, instead of assigning a default value after 100ms.

Shopping Muse is now the expert on your brand operations

Upload your brand-unique knowledge — like your shipping policy, loyalty program, and return policy — and expand how Shopping Muse assists and builds confidence across its conversations with your shoppers.

Reconnect: Build multi-step customer journeys with ease

Build and manage multi-step communication flows using an intuitive canvas, making it easy to orchestrate personalized journeys across channels.

Additional updates:

Experience Search:

• You can now boost and bury products based on any product catalog column value. For example, boost products from a brand you would like to promote, and bury products that are in sale.
• Support selecting multiple facets for given product attribute in Experience Search, such as products that are red and blue.