Instead of showing generic best-sellers to everyone, an AI recommendation engine analyses individual customer data to offer personalised AI suggestions that drive higher conversion rates.
With Klaviyo’s Customer Agent, AI-powered product recommendations are delivered through a 24/7 AI shopping assistant that works across web chat, SMS, RCS, and soon email and WhatsApp. The AI recommender uses data from past purchases, browsing activity, and current conversation context to make smart product suggestions that feel helpful, not pushy.
Why it matters
Why Klaviyo
Key features
Get started
Why do AI product recommendations matter?
AI-powered product recommendations help answer your customers’ most important question: “What’s right for me?” Personalised recommendations improve product discovery, increase average order value, and create stronger customer relationships through relevant, timely suggestions.
Consider a customer browsing your site who asks about a specific dress through web chat. The Customer Agent can instantly recommend matching accessories based on what similar customers purchased together. Or when sending post-purchase emails, you can automatically include the “next best product” that a customer is most likely to buy next. These AI-based product recommendations feel natural and helpful while driving measurable revenue growth.
Why choose Klaviyo for AI product recommendations?
Klaviyo’s AI product recommendations are more accurate and effective because they’re powered by complete customer data and delivered at exactly the right moment.
Complete customer data foundation
The AI recommendation engine runs on Klaviyo Data Platform, which captures every customer interaction—clicks, purchases, reviews, and conversations. This comprehensive view means AI-personalised recommendations are based on true customer intent, not just the basic demographic data that standalone tools rely on.
Real-time conversational context
Product recommendations adapt instantly to conversation context through the Customer Agent. When a customer asks about running gear, the Customer Agent suggests running-related products, using the chat context to provide relevant, on-topic suggestions that match customer needs.
Omnichannel delivery consistency
Deliver consistent, personalised product recommendations across every channel. Whether customers engage through web chat or SMS, the recommendations come from the same intelligent engine, creating a connected experience that builds trust and drives sales.
Key features of Klaviyo’s AI product recommendations
| Feature | Description | Available with Klaviyo |
|---|---|---|
| Dynamic recommendation engine | Customer Agent analyses purchase history, site behaviour, and conversation context to predict the ‘next best product‘ and suggest relevant cross-sells for each individual customer. | ✔️ |
| Conversational product discovery | Customer Agent uses AI-powered recommendations to answer customer questions, compare products, and guide customers to the right items directly within web chat and SMS. | ✔️ |
| Centralised catalogue controls | Manage recommendations by excluding specific products or categories—like free gifts or out-of-stock items—to make sure every AI suggestion is relevant and available for purchase. | ✔️ |
Disclaimer: K:AI Customer Agent is currently available in English. Additional languages will be available in 2026.
How to get started with AI product recommendations
- Activate Customer Agent. Turn on the 24/7 AI shopping assistant on your website to begin offering recommendations through web chat conversations.
- Connect your product catalogue. Make sure your product catalogue syncs with Klaviyo so the AI has current information about your inventory and product details.
- Add recommendations to your channels. Add the “Next best product” block to your email templates and automated flows.
- Let the AI learn and optimise. The AI recommendation engine gets smarter over time as it gathers more customer data, continuously improving suggestion quality and relevance.
AI product recommendations transform every customer interaction into a revenue opportunity while providing genuine value to shoppers.