AI Product Recommendations

What are AI Product Recommendations?

AI Product Recommendations use machine learning to suggest relevant products to shoppers based on their browsing behavior, purchase history, or similar customer profiles. These AI-driven recommendation engines personalize the shopping journey, increasing engagement and conversion rates.

How It Works:

AI analyzes customer data, such as viewed items, cart additions, and previous purchases, to predict what a shopper is most likely to buy next. It then surfaces personalized product suggestions on category pages, product detail pages, and checkout screens.

‍

Types of AI Recommendations:

• Personalized recommendations based on individual shopper behavior.
• Related product suggestions (“You may also like”).
• Cross-selling and upselling recommendations at checkout.
• Trending or similar item suggestions based on visual or text similarity.
  
  

Why It Matters? 

AI-powered recommendations enhance product discovery, increase average order value (AOV), and deliver a more tailored shopping experience. For fashion retailers, it helps surface complementary styles, complete-the-look items, and seasonal trends automatically.

‍