Visual AI discovery for Shopify jewellery brands
Jewellery discovery is shaped by metal, stone, scale, motif and how pieces work together. RecoMelon uses product imagery and catalogue context to help shoppers find visually aligned alternatives and complementary combinations across PDPs, collections and baskets.
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.
The discovery problem
A shopper seeking another pendant has a different task from someone completing a stack or coordinated set. Motif, visual scale and colour can influence both decisions, but matching product types alone will not distinguish them.
Define which journey the first test should improve. Keep visible aesthetic preferences separate from facts about metal, stones, dimensions or other specifications that need authoritative product data.
Fit and implementation
Shop Similar and Reveal™ can be evaluated for visually aligned alternatives. Bundles™ supports complementary choices around a product, making it a different surface to assess for set-building.
Review representative matches with merchandisers and agree inclusion, exclusion and availability rules. Catalogue data remains the source of truth for material, stone specification, size, price and markets; imagery should not be used to infer those facts or regulated claims.
Fit and implementation
Use the visible shape and design language of a piece to frame related alternatives. Verify metal, stone and size specifications against the catalogue.
Fit and implementation
Keep complementary selection distinct from substitution. Review a proposed set for visual coherence while retaining accurate information about each piece.
Fit and implementation
Let product imagery support comparison while product data explains the facts. Similar appearance should never imply equivalent materials, quality or fit.
Fit and implementation
Use Shop Similar to compare pendant shapes and design details, with metal and other product facts checked against catalogue data.
Fit and implementation
Evaluate recommendation engagement and progression towards purchase against an agreed baseline. The dashboard illustration uses sample data.
Evaluation and evidence
For an alternatives journey, review relevance, products explored and continuation towards purchase. For complementary sets, also assess which additional items are selected and the resulting basket value.
Use consistent attribution and account for promotions or stock changes. Include the work required to inspect combinations and maintain product facts, then expand only the surface that demonstrates useful shopper value.
Use a representative selection from this category and review the proposed experience with the merchandising team.
Compare the visual choice with the authoritative product and variant data before including it in the test.
Review the chosen journey against an agreed baseline and record the work needed to maintain it.
Compare the platforms when search, recommendations and merchandising need to work across a large or visually complex catalogue.
Bloomreach presents a broad discovery platform. RecoMelon concentrates on making product imagery and catalogue context operational inside Shopify journeys.
RecoMelon builds visual relationships between products and uses them across The Index™ search, Smart Collections, Reveal™ PDP discovery and Bundles™. This can be particularly useful where style, colour, silhouette, pattern or finish affect relevance.
No. Scope which platform owns each surface and run a controlled test. RecoMelon can begin with PDP alternatives, a selected collection or complementary-product discovery while the current search stack remains live. No native Bloomreach connector is assumed.
Review catalogue preparation, integration ownership, merchandising workload, time to value, regional requirements, explainability, reporting and the commercial result on a representative category.
RecoMelon can connect pieces through visual characteristics and complementary intent. That supports both similar-item discovery and set-building journeys.
Yes. Bundles™ and StyleSets™ are designed for complementary logic, helping brands suggest pieces that complete a stack or look rather than simply repeating the same product type.
Visual relationships can bring new products into discovery without waiting for a long purchase history.
Bring a collection, stack or gifting journey. We’ll map the visual relationships, product rules and measurement required to test RecoMelon across an enterprise jewellery catalogue.
Request an enterprise catalogue review