AI product recommendations

Personalized product recommendations powered by AI

Generic product recommendations underperform. AI-powered recommendations analyze customer behavior, purchase history and product relationships to surface products each customer is most likely to buy. Starcodia implements personalized recommendations on Shopify stores to improve conversion, average order value and customer experience.

Types of AI recommendations

Personalized recommendations. Products suggested based on individual customer behavior and preferences.

Cross-sell recommendations. Complementary products shown alongside or after a product is added to cart.

Upsell recommendations. Higher-value alternatives or upgrades presented during browsing or checkout.

Recently viewed with affinity. Products similar to what a customer has browsed, weighted by predicted interest.

Post-purchase recommendations. Products suggested after purchase for repeat buying and expansion.

How we implement recommendations

Starcodia evaluates recommendation engines (Rebuy, Nosto, LimeSpot, etc.) based on your requirements and implements the right solution with proper placement, design integration and performance optimization.

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Frequently Asked Questions

AI recommendation engines analyze customer behavior, purchase history and product attributes to suggest relevant products in real time.
Well-implemented recommendations typically improve click-through rates, average order value and conversion rate.
We evaluate both Shopify's native Search and Discovery app and third-party recommendation engines based on your catalog size and requirements.