AI Product Recommendations for Shopify

Search that understands what shoppers mean. Conversational and contextual search interprets style, color, attributes and intent. Dynamic merchandising balances commercial and catalog priorities, while inline Shop Similar and integrated LiveGrid™ UGC keep shoppers discovering without returning to a static results grid.

Shop Similar, directly from the product image. When a product is "almost right", Reveal™ offers visually aligned alternatives from within the primary product image, above the fold. Shoppers stay on the PDP and keep their intent while finding an alternative without the attribute stopping the purchase.

In large catalogues, the lost sale is often one missing non-negotiable. Dealbreaker™ Filters let shoppers refine recommendations by sleeve, neckline, fit, colour, and other product-specific attributes directly on the PDP, while merchandising teams learn which objections matter by category.

On high-traffic PDPs, static grids leave too much context behind. LiveGrid™ blends UGC, video, and product recommendations into shoppable proof, so shoppers see products in use while teams scale richer discovery across brands, campaigns, and categories.

Turn one product into a complete look. Complementary recommendations create multiple looks around a chosen product, with configurable discounts and multi-buy offers to increase AOV. Bundle Rescue swaps unavailable or unsuitable items for visually similar alternatives without breaking the set. Integrated LiveGrid™ content helps shoppers visualize the combination.

Abandoned Cart Email Rescue. Sending shoppers back to rejected products repeats the problem. SecondLook™ restores the abandoned basket and offers visually matched alternatives for each item - helping shoppers find a better fit while preserving basket intent and cross-sell opportunities.

Large catalogues move faster than manual tagging can support. IntentWeave™ reads product imagery and generates usable attributes such as silhouette, neckline, sleeve, texture, and colour family, so new products can enter recommendation logic without manual enrichment or engineering work.

LookLogic™ Behaviour turns subtle traffic signals, including image scrolls, dwell time, product views, and repeated visual patterns, into sharper recommendations while shoppers are still deciding. It helps large storefronts react to intent in-session instead of waiting for historical purchase data.

Teams need to know which discovery moments actually move revenue. InsightCore™ connects visual browsing behaviour, recommendation engagement, and influenced orders, helping merchandisers see what works by product, category, and shopper intent.

ColdStart™ is built for catalogue velocity. New drops, seasonal edits, and low-history SKUs enter the recommendation graph as soon as product imagery is available, so teams do not have to wait for sales data before products can perform.

ThemeFlex™ Propulsion lets larger Shopify teams launch recommendations without a template rebuild. It adapts RecoMelon to Shopify 2.0 blocks, sections, and custom themes, giving brand, ecommerce, and engineering teams the control to test safely across complex storefronts.

Preview-as-you-Go™ gives merchandising, brand, and ecommerce teams a controlled way to review recommendation quality before launch. Inspect visual matches, check category fit, and validate PDP flow before recommendations reach shoppers.