We built RecoMelon because the old way of recommending products was broken.
Collaborative filtering. Purchase histories. "Customers also bought." These engines were built for a world where shoppers think in transactions. They don't. They shop by how something looks - the cut, the colour, the drape, the silhouette. RecoMelon exists to fix that.
Show every shopper the product that was made for them.
RecoMelon's VisualDNA™ reads the product in front of a shopper right now - its cut, silhouette, colour, pattern, texture - and finds everything in the catalogue that shares that visual DNA. Not what someone else bought six months ago. What this shopper, on this PDP, would actually want to see next.
The result is a recommendation layer that thinks the way shoppers think. Merchants get higher AOV, lower bounce, and a product discovery experience that feels less like an algorithm and more like a great shop assistant.
Six principles that shape everything we build.
Shoppers buy with their eyes. Recommendations should too. We anchor every rec to what the product looks like, not what someone else clicked last quarter.
No tagging. No rules. No engineering sprints. IntentWeave™ reads your catalogue imagery and builds the attribute layer automatically. You ship, we adapt.
ChildPlay Install™ connects to Shopify in one click. ThemeFlex™ adapts to your store layout automatically. No developer required. No waiting.
Black-box AI is a liability. We show you what's driving every recommendation. You control the logic, the filters, the look. It's your store.
15-28% AOV uplift isn't a vanity metric - it's what happens when shoppers find products they actually want. Better discovery is better business.
We don't try to serve every platform. We go deep on Shopify - native blocks, Shopify Plus support, real-time catalogue sync, and the integrations that actually matter.
The average Shopify store shows the right product to the wrong person, every day.
Generic recommendation engines were designed for marketplaces selling millions of SKUs across every category. They optimise for click volume across a broad audience. That works for Amazon. It doesn't work for a 1,700-SKU fashion brand where the difference between a sale and a bounce is whether the recommendation understands the difference between a midi slip dress and a mini bodycon.
VisualDNA™ was built specifically for that problem. It reads visual signals - the ones shoppers actually use to decide - and uses them to surface products that are genuinely similar to what the shopper is looking at right now. Not similar in category. Similar in appearance.
We built RecoMelon for the brands that care deeply about product. The ones who know their catalogue, curate their assortment, and deserve a recommendation engine that understands what makes their products distinctive. This is that engine.
Average AOV uplift across live Shopify stores
Bounce reduction with Dealbreaker Filters™
SKUs processed and understood by VisualDNA™
From install to live recommendations on your store
Ready to show shoppers products they actually want?
RecoMelon is live on Shopify in under 60 seconds. No code, no tagging, no engineering time. Just better recommendations from day one.