What is an AI product recommendation agent?
An AI product recommendation agent reads shopper behavior in real time, chooses the next best product for each person, and delivers that pick across the channels where they engage. It scores each shopper's behavior and purchase history against your catalog, updates as they act, and renders the recommendation in email, SMS, and related channels.
Why an AI product recommendation agent matters
A shopper buys running shoes, then two days later gets an email pushing the same pair, or something they wouldn't wear. Static recommendation blocks and manual merchandising can't keep pace with individual intent, and they can't keep pace across email, SMS, and the other channels you send on at once. Teams that only surface products still leave the decide-and-deliver work to humans.
A few of the benefits:
- Fewer wrong-product sends: Recipients stop getting picks that ignore what they browsed, bought, or left behind.
- Fewer generic grids: Each audience sees products matched to its behavior and segment, not one static block.
- Less rebuild work by channel: You aren't recreating merchandising logic separately for email, SMS, and push.
Why choose Klaviyo's AI product recommendation agent
Klaviyo is the autonomous B2C CRM. Next best product recommendations run on the real-time customer profile and your catalog. Composer, Klaviyo's marketing agent, helps you create launch-ready email and text campaigns. Note: Composer is currently in public beta.
A different product grid for each recipient
Add a product recommendation block in the drag-and-drop email editor, choose your recommendation source (catalog, recently viewed, or behavior-based), and Klaviyo populates it per recipient at send time. You build the block once, and each recipient opens a different set of products matched to their behavior.
The right products for the right segments
Recommendations draw on the unified customer profile and your product catalog. Pair that with segmentation on the same profile, and you're matching each audience to the products they're most likely to want.
One decision that reaches more than email
Klaviyo personalizes content, timing, channel, and offer per person across email, SMS, WhatsApp, mobile push, web, and ads — without rebuilding merchandising per channel. Composer is in public beta, and nothing goes live without your review.
Key features of Klaviyo's AI product recommendation agent
Feature | Description | Available with Klaviyo |
|---|---|---|
Next best product | AI-driven picks based on real purchase-sequence data per individual. | ✅ |
Dynamic product recommendations | Email product blocks populated per recipient at send time from profile and catalog. | ✅ |
Unified customer profile | Recommendations run on one real-time profile shared across channels. | ✅ |
Cross-channel delivery | The same prediction can render in email, SMS, RCS, WhatsApp, and related channels. | ✅ |
How to get started with Klaviyo's AI product recommendations
To get started with AI product recommendations in Klaviyo:
- Connect your store and catalog. Sync products so the catalog feeding recommendations stays current.
- Unify profiles and segments. Pull browsing, purchase, and profile attributes into one record, then segment by behavior before you send.
- Add recommendation blocks to campaigns and flows. Add the block and pick a catalog, recently viewed, or behavior-based source.
- Turn on the channels you send on. Use the same profile decision for email, SMS, and related channels.
- Review, measure, and refine. Approve sends before they go live, then use campaign analytics to see which messages drove revenue.
Klaviyo runs on 14+ years of first-party data, so recommendations start from proven B2C patterns and get sharper on your data. Get started with Klaviyo