AI search and guided discovery for Shopify beauty
Beauty catalogs combine appearance, format, routine and product context. RecoMelon helps brands connect natural-language discovery, visually aligned alternatives, related products and complementary routines without relying on generic customers-also-bought logic.
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.
Turn “almost right” into another relevant option. Shop Similar keeps high-intent shoppers exploring with visually matched alternatives based on the product they are already considering - helping them refine their choice without starting their search again.
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.
The discovery problem
A beauty shopper may recognize a color family, packaging format or intended routine without knowing an exact product name. Those visual cues can support discovery, but they cannot establish ingredient suitability or the effects of a product.
Identify a category where appearance and accurate catalog context can usefully guide the next choice. Keep the merchant's factual product information and merchandising rules central to the brief.
Fit and implementation
VisualDNA™ can support visually aligned alternatives, while complementary-product logic can be evaluated for relevant sets. Start with a bounded category and review recommendations with the people responsible for its merchandising.
Catalog data remains authoritative for ingredients, shade, format, price, availability and markets. Do not infer regulated claims, efficacy or individual suitability from imagery. Any routine-building experience must follow the product and compatibility rules supplied by the brand.
Evaluation and evidence
Inspect whether recommended products respect the category, product facts and brand-supplied constraints. Then assess product exploration, recommendation engagement and progression to purchase against the existing experience.
Include the time required to review matches and maintain accurate product information. Treat conversion or order-value changes as results of the particular test, with its audience and conditions, rather than evidence for a product claim.
RecoMelon can combine product imagery with catalog context to organize relevant alternatives and complementary products. The implementation should use accurate catalog facts and avoid inferring regulated claims from imagery.
Complementary-product logic can help brands assemble relevant routines or sets, subject to the merchandising and compliance rules supplied by the brand.
No. Visual intelligence complements accurate ingredients, shade, format, availability and compliance data maintained by the merchant.
Bring us a category, routine or discovery journey. We’ll map how RecoMelon can connect the range without overstepping product claims.
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