Vertex AI Search alternative for Shopify discovery
Vertex AI Search supports AI-powered search experiences across enterprise data and applications. RecoMelon is designed around Shopify catalogue discovery, connecting visual product intelligence with natural-language search, Smart Collections, PDP alternatives and complementary bundles. Compare the scope, implementation model and commerce outcomes required.
Search that understands what shoppers mean. Conversational and contextual search interprets style, colour, attributes and intent. Dynamic merchandising balances commercial and catalogue 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 visualise 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.
Start with the job the search experience must perform. A broad enterprise search programme and a storefront product-discovery programme may require different data, interfaces, governance and measures of success.
Yes. Define which platform owns each experience and how catalogue, user, analytics and market data move between them. A native Vertex AI Search connector is not assumed.
Use representative product queries and journeys to compare relevance, catalogue coverage, product exploration, conversion, order value and ongoing operating effort.
Share the current Google Cloud scope and the product-discovery gaps in Shopify. We’ll define a contained RecoMelon test.
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