Jewellery shoppers think in sets and occasions. Visual AI shows them pieces that share the same metal tone, design era, and aesthetic — helping them build complete looks and buy more per visit.
Set completion is a major purchase driver. A customer buying a gold necklace often wants matching earrings and a bracelet — but they won't find them through category filters. Standard "you may also like" shows random jewellery, not pieces that share the same metal, stones, and design language.
Occasion-based shopping requires aesthetic cohesion. Wedding jewellery, everyday minimalist pieces, and statement evening wear are entirely different aesthetics. Recommending across these mismatches destroys trust. Visual AI respects the distinction automatically.
Gold, rose gold, silver, platinum — the AI distinguishes metal tones precisely and only recommends pieces in the same finish, so shoppers never see mismatched suggestions.
Diamonds, sapphires, rubies, pearls, turquoise — the AI identifies stones from product images and surfaces pieces with matching or complementary stones.
Art Deco, minimalist, bohemian, vintage, contemporary — the AI reads design language from silhouette and detail, keeping recommendations within the same aesthetic world.
When a shopper views a necklace, the AI immediately identifies earrings, bracelets, and rings that belong to the same visual family — the most natural upsell in jewellery retail.
Show necklace shoppers the matching earrings and bracelet — automatically, on every product page.
Wedding, everyday, and statement pieces stay in their own aesthetic lanes. No jarring mismatches.
Connect rings to pendants to brooches when they share the same metal and design language.
No purchase history needed — every new piece gets recommendations the moment it's published.
Visual AI surfaced matching earrings and bracelets alongside every necklace, driving complete set purchases instead of single-piece orders.
Grouping pieces by metal tone and design era meant shoppers discovered 3–4 complementary items per visit rather than viewing one and leaving.
Customers who bought matching sets came back within 60 days to extend their collection with pieces in the same aesthetic family.
Recommends within the same metal tone — gold stays with gold, silver with silver.
Detects set opportunities across product types — rings, earrings, necklaces, bracelets.
Keeps minimalist, vintage, and statement aesthetics separate so recommendations always feel curated.
Every product, from day-one launch, gets contextually relevant suggestions with no manual setup.
Help customers complete their look. Visual recommendations turn single-piece views into full set purchases. Free plan available.
Install simage — Free