The right product at the right time = more conversions. That’s the promise of AI-powered recommendations on Shopify.
Whether it’s “Frequently Bought Together” or personalized upsells, AI helps boost AOV, session time, and repeat purchases.
1. How AI Product Recommendations Work
- Analyze customer behavior, browsing, and purchase history
- Use machine learning to show dynamic product suggestions
- Adapt recommendations in real-time (on homepage, PDPs, cart, post-checkout)
2. Top AI Recommendation Apps for Shopify
🔍 ReConvert
- Post-purchase upsells & thank-you page AI bundles
- Personalized product display after checkout
- Free plan available, with advanced logic on paid tiers
🔍 LimeSpot Personalizer
- Dynamic placement of “You May Also Like,” “Recently Viewed,” etc.
- Custom rules for collections or individual SKUs
- A/B testing and analytics included
🔍 Wiser AI Recommendations
- Cross-sell, upsell, and recently viewed blocks
- Shopify Plus-compatible with full customization
- Free plan with core features, paid plans scale with usage
🔍 Personalized Recommendations by Searchanise
- Combines AI search with smart suggestions
- Visual merchandising features
- Free trial available
🔍 Algolia Recommend (Advanced)
- Used by enterprise brands
- Powerful API-based recommendation engine
- Ideal for headless or custom storefronts
3. Where to Use Recommendations for Impact
- On homepage: “Best for You,” “Top Sellers”
- On product page: “Similar Items,” “Complete the Look”
- In cart: “Buy It With,” bundle suggestions
- Post-purchase: personalized cross-sells or replenishments
4. Tips for Smarter Implementation
- A/B test widget placement and design
- Don’t overwhelm users with too many suggestions
- Exclude out-of-stock or low-rating products
- Use UTM tracking for measuring ROI
Final Thoughts
AI isn’t just for Big Tech anymore. Shopify merchants of every size can now use machine learning to drive real revenue.
Need help setting up personalized recommendations that convert? CommerceBolt can configure it end-to-end.