AI product recommendations help drive sales by analyzing customer behavior, browsing patterns, and past purchases to show shoppers the items they’re most likely to buy.
This creates a personalized shopping experience and boosts both conversion rates and AOV.
When someone lands on your collections page or adds an item to their cart, they’re not thinking:
“Let me scroll through 100 other products.”
Their real question is:
“What’s the best product for me right now?”
In other words, your Shopify store needs to have an AI product recommendation engine. They will turn raw behaviour data (views, clicks, carts, purchases) into smart suggestions that feel less like “related items” and more like a personalized shopping assistant.
What are AI-based Product Recommendations?
AI product recommendations are intelligent suggestions on an online store that use machine learning to show shoppers items they’re most likely to want. This is based on their behaviour, browsing history, purchases, and what similar shoppers did.
Unlike static “related products” lists, an AI recommendation engine analyzes data across many users and updates in real time.
This ensures each visitor sees tailored product picks, increasing relevance, conversions, and overall average order value.
AI-powered recommendations in iCart help Shopify stores show the right products at the right moment inside the cart.
iCart boosts upsells by analyzing what shoppers add to their cart and instantly suggesting relevant add-ons or higher-value items. This makes every offer timely, personalized, and more likely to increase AOV.
How Does AI Product Recommendations Work?
AI-based product recommendations work by turning raw shopper behaviour into real-time, personalized suggestions that feel almost intuitive.
- They collect behavioural data: Every click, view, search term, add-to-cart action, and purchase helps the system understand what a shopper is interested in.
- They analyze patterns across thousands of shoppers: AI models look at what similar users viewed or bought to predict what someone is most likely to want next.
- They understand product relationships: By studying titles, tags, attributes, pricing, and categories, AI learns which items naturally pair or substitute for each other.
- They update suggestions in real time: AI recommendations change instantly based on what a visitor interacts with during that session.
- They personalize the storefront automatically: Each shopper sees a unique set of products on the homepage, product page, cart drawer, or checkout.
How AI-Powered Recommendations Drive Your Shopify Sales?
AI recommendations drive high sales with better targeted product discovery, improved shopper experience, and reduced cart abandonment rate. Multiple studies show the impact: AI recommendations drive revenue by a staggering 300%.
Better-Targeted Product Discovery
Traditional online stores often rely on static “related products,” but that rarely accounts for what a visitor truly wants.
In contrast, AI-powered systems analyze each visitor’s browsing behavior and past purchases to dynamically show relevant products.
This level of personalization helps your customers discover your products in a better way.
Increased AOV via Upsells and Cross-Sells
Because AI-based product recommendations can suggest complementary or higher-value items, they naturally encourage upsells and cross-sells.
Instead of waiting for the shopper to think of extras, the store suggests what pairs well. This often leads customers to add more than they originally planned. This personalization and relevant upsells, cross-sells, and product bundles tend to increase AOV significantly.
Improved Shopper Experience and Higher Retention
When visitors see products tailored to their tastes, history, and context rather than generic suggestions, they feel understood.
This improves their shopping experience and lowers bounce or exit rates.
As these positive experiences grow, customers are more likely to return. Personalization via AI has been shown to significantly boost retention and repeat purchases over time, making first-time buyers into loyal customers.
Reduced Cart Abandonment
Statista reports, the shopping cart abandonment rate is 70%. In typical ecommerce flows, a large percentage of visitors end up leaving without buying. They are overwhelmed by choices or unsure of what to pick.
AI-powered recommendations help reduce cart abandonment rate by showing the most relevant items immediately. For a Shopify merchant, that directly translates to better conversion rates from the traffic you invest in paid ads.
What are the best AI-driven Product Recommendations for Shopify?
Top choices from Shopify merchants to drive AI-driven sales include iCart Cart Drawer Cart Upsell, Wiser, ReConvert, LimeSpot, and Good Product Recommendations.
| App Name | Core Focus | AI Recommendation Strengths | Best For |
| iCart Cart Drawer Cart Upsell | Slide cart drawer, cart customization, upsell & cross-sell widgets | Uses AI cart upsells and product recommendations inside the cart, with features like progress bar, countdown timers, and more. | Shopify stores that want an all-in-one slide cart with AI-driven product recommendations. |
| Wiser – AI Upsell & Cross Sell | Storewide AI recommendations, upsell & cross-sell | Shows AI-based product recommendations on every page. | Merchants who want a full-funnel AI recommendation engine. |
| Upsell.com (ReConvert) | Checkout, post-purchase & thank-you page upsells | Builds AI-assisted upsell funnels on the checkout, post-purchase, and thank-you pages. | Stores focused on monetizing the order confirmation flow and squeezing maximum AOV from each transaction. |
| Glood Product Recommendations (Glood.AI) | Personalization platform & on-site recommendations | ML-led personalization that powers dynamic product recommendations. | Brands wanting a personalization layer for on-site discovery with AI-driven sales. |
| Bundle & Upsell AI – LimeSpot | Smart bundles, upsell & merchandising | AI learns shopper behaviour to power dynamic bundles, “bought together,” and personalized upsell offers at checkout. | Merchants who care about data-driven bundling and merchandising. |
Final Thoughts on AI-Powered Recommendations
AI-powered product recommendations remove friction from the buying journey by helping every visitor quickly find what they actually want.
Instead of forcing shoppers to browse endlessly, these AI recommendation engines show relevant products at the right moment, leading to higher conversions, stronger AOV, and more satisfied customers.
For Shopify brands, adopting AI recommendations means turning a static storefront into a dynamic page that adapts to every shopper in real time. This is one of the most reliable ways to drive repeatable, long-term sales growth in 2025 and going forward.
FAQs
1. What is an AI recommendation system in ecommerce?
An AI recommendation system is a tool that uses machine learning and customer data (like browsing, search, and purchase history) to suggest products or offers that each shopper is most likely to buy.
2. How to increase sales with AI-powered product recommendations?
You increase sales by placing AI recommendations at key touchpoints like the home page, product pages, cart drawer, checkout, post-purchase, and email.
3. Can AI build my Shopify store?
Yes, AI can build your Shopify store. Shopify has a dedicated AI website builder for merchants to build their online store.
4. Which are the best Shopify apps to show AI-powered product recommendations?
Some strong options right now include iCart Cart Drawer Cart Upsell, ReConvert, and Wiser. These apps have AI-driven widgets that make product recommendations based on the customer’s buying behaviour.
5. What is an example of an AI-powered product recommendation?
If someone views a running shoe, the AI instantly suggests running socks and shorts because most shoppers who bought that shoe also purchased those items.
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About the author
Vineet Nair
Vineet is an experienced content strategist with expertise in the ecommerce domain and a keen interest in Shopify. He aims to help Shopify merchants thrive in this competitive environment with technical solutions and thoughtfully structured content.