Tailored to your catalogue.
Trained on 200+ verticals, RecoMelon™ instantly adapts to your products and ready to convert - No setup. No tagging. Just expert-level merchandising recommendations from day one.
Stop guessing.
Show what actually matters.
Your customers don't think in purchase histories. They shop by how something looks - the drape, the colour, the cut. RecoMelon™ is the only recommendation engine that thinks the same way. VisualDNA™ anchors every rec to the product in front of the shopper right now - not what someone else bought six months ago. The result: shoppers stay, explore, and spend more.
VisualDNA™
When a shopper views a floral midi dress, they see 12 more floral midis - not 'customers also bought' handbags. VisualDNA™ reads cut, silhouette, and print, not purchase history.
Never Fully Dressed
Turned community confidence into 3,855 influenced orders and +21.8% AOV uplift in a single month - powered by VisualDNA™ recommendations and LiveGrid™ UGC, combining real-world content with smart product discovery.
Dealbreaker™ Filters
The moment a shopper can't find their size, sleeve, or neckline in a carousel - they leave. Dealbreaker™ Filters fix that at the point of discovery. MustMatch™ lets shoppers set their non-negotiables - 'sleeve length: long', 'neckline: V-neck', 'fit: relaxed' - and eliminates anything that doesn't qualify before they even see it. Fewer dead ends. Lower bounce. Higher confidence to buy.
Pretty Lavish -
The Dealbreaker™ Filter data is one of the most underused signals in fashion merchandising. For Pretty Lavish, colour dominated as the primary decision driver, followed by pattern and silhouette. Ruffles 31%, Satin 21%, V-neck 16%, Fitted 13%, Sleeveless 10%, One Shoulder 5%
IntentWeave™
Most engines wait for clicks to understand what a shopper wants. IntentWeave™ doesn't wait. It auto-generates product attributes - sleeve type, neckline, silhouette, texture - directly from your catalogue imagery, then uses those attributes to surface visually synonymous alternatives. No tagging. No manual input. Just smarter recommendations, from the moment a product is live.
ChromaSense™
A shopper lingering on a dusty rose blouse isn't just looking at a product - they're signalling a colour preference. ChromaSense™ reads that signal and surfaces exact shade matches and complementary tones from across your entire catalogue. Not just 'red products.' The specific red they're already drawn to.
Read what your
customers aren’t saying.
Most personalisation tools are reactive - they wait for data before they act. RecoMelon is proactive. Our visual engine decodes shape, structure, colour, and browsing rhythm to surface what a shopper wants before they can articulate it themselves. No manual rules to write. No product tagging to maintain. No collaborative filtering that recommends a handbag to someone browsing dresses.
LookLogic™ Behaviour
Understand what keeps shoppers clicking. RecoMelon captures subtle signals - like time spent on details, image scrolls, and product views - to deliver smarter recs in the moment.
InsightCore™
Raw click data tells you what happened. InsightCore™ tells you why. RecoMelon's AI identifies visual patterns in browsing behaviour - the shapes, moods, and styles a shopper keeps returning to - and uses them to sharpen every future recommendation. Built-in attribution reporting closes the loop: you see exactly which recommendations influenced which purchases, in real time.
LiveGrid™
Static grids lack context, and context is what drives conversion. LiveGrid™ combines UGC and video with smart recommendations to create shoppable, real-world experiences that help customers visualise and convert.
Launch with No Code UI/UX.
Built to feel invisible. Designed to convert. RecoMelon’s interface blends seamlessly into your PDP - no dev time, no disruption - just smart, style-aware discovery that shoppers intuitively understand. The 'Shop Similar' widget is RecoMelon's flagship placement - a visually-matched carousel that lives directly below the Add to Cart button, at the exact moment a shopper is deciding whether to stay or leave. It's the highest-ROI real estate on your PDP. And it takes under 60 seconds to install.
ChildPlay Install™
Connects in one click
Plug & Play Recommendations in Under 60 Seconds. No devs, no downtime. RecoMelon clears every technical hurdle so your store starts recommending smarter - today.
ColdStart™
Every new product is invisible to collaborative filtering engines until someone buys it. For fast-moving brands dropping 50+ new SKUs a week, that's revenue lost on day one. ColdStart™ solves this at the source - the moment a product is added to your catalogue, RecoMelon reads its visual DNA and places it into the recommendation graph automatically. No purchases required. No tagging. No waiting. New arrivals perform from the first click.
Preview-as-you-Go™
See it before you ship it. Most rec engines are a black box - you go live and hope for the best. RecoMelon shows live previews of visually matched suggestions, so you can check the fit, flow, and styling before launch. No tagging. No guesswork.
ThemeFlex™ Propulsion
RecoMelon adapts to your store’s layout - automatically. Works out of the box with Shopify 2.0 blocks, sections, and custom themes. Fine-tune visuals inside your theme. Test without risk.
Brand Stories
From 1,000-SKU fashion brands to 230,000-SKU home décor catalogues, RecoMelon powers product discovery at every scale. These are the brands that replaced guesswork with visual intelligence - and the numbers they got back.
Live The Process
How a small 61-SKU range into a co-ordinate engine - adding $48.70 per influenced order without a single new product.
Decorators Best
Converted 230,000 SKU scale from liability to asset through visual AI navigation. Recommendation-driven orders increased nearly 4x, revenue uplift from rec-influenced behaviour over 80%.
Never Fully Dressed
How Never Fully Dressed turned 7.5 million video plays into 3,855 influenced orders - by connecting community content to a rec module that finally understood what to recommend next to it.
Pretty Lavish
Reduced bounce rates by 40% with intelligent visual recommendations
DUER
How DUER used visual co-ordinate logic to help shoppers navigate a performance denim range - adding $53.53 per influenced order without additional media spend.
Plans that pay for themselves.
Every plan includes our 10× ROI guarantee. If RecoMelon doesn't return 10 times its cost in measurable uplift within 30 days, you pay nothing. Use the calculator below to see what that means for your store.
FAQs
Answers to help you understand how RecoMelon transforms your product recommendations
Manual Shopify collection blocks show the same products to every shopper regardless of their intent. RecoMelon personalises discovery dynamically per session - adapting recommendations based on what each shopper is looking at, filtering for, and visually drawn to. Two shoppers on the same PDP see different recommendations based on their behaviour. This is what makes RecoMelon an active conversion tool rather than a static curated list.
Dealbreaker™ Filters are RecoMelon's intent-led refinement system. They let Shopify shoppers filter the recommendation panel by the attributes that actually drive their buying decisions - sleeve length, neckline, fabric, fit, or colour - rather than broad category filters. When a shopper signals they only want V-neck or relaxed fit, Dealbreaker™ eliminates everything that doesn't qualify before it's shown. This reduces bounce and increases purchase confidence.
RecoMelon improves Shopify store performance by converting the product detail page (PDP) from a dead end into a discovery engine. When shoppers land on a product and don't convert, RecoMelon surfaces visually matched alternatives at that exact moment - filtered by what matters most to that shopper. Brands using RecoMelon typically see 28-55% AOV uplift and a 40%+ reduction in PDP bounce rate within the first 30 days of installation.
RecoMelon starts with the product, not purchase history. Most recommendation engines use collaborative filtering - recommending what similar buyers bought. RecoMelon uses VisualDNA™ to read each product image and understand how it actually looks - cut, colour, silhouette, print, material - then recommends based on visual similarity. This means new products are recommended from day one with zero sales data, and a shopper viewing a floral midi dress sees more floral midis, not whatever happened to be in the same basket. The result is a product intelligence engine, not a personalisation engine built on historical behaviour.
RecoMelon is an AI-powered product recommendation engine for Shopify that replaces generic "You Might Also Like" carousels with visually matched alternatives. VisualDNA™ reads each product image to understand cut, colour, silhouette, and style - surfacing the products a shopper is most likely to buy next. Dealbreaker™ Filters let shoppers refine recommendations by the attributes that actually matter to them, like sleeve length, neckline, or fabric. Together they convert the product detail page from a dead end into a discovery engine.
No technical skills are needed. RecoMelon installs from the Shopify App Store in under 60 seconds - no developer time, no code changes, no downtime. ColdStart™ scans the product catalogue automatically on installation, and most merchants see their first recommendation-influenced orders within 60 minutes of going live. New merchants start on a $1/day, 30-day trial - full feature access from day one, with a money-back guarantee if it doesn't perform. For Shopify Plus merchants or custom theme stores, the RecoMelon team handles onboarding directly.
RecoMelon has no measurable impact on Shopify store load time. The recommendation engine runs asynchronously using Shopify App Embeds, meaning it never blocks page render or delays the critical path. RecoMelon's architecture is designed to meet Shopify's Core Web Vitals standards - pages load at full speed, and recommendation widgets appear without affecting Largest Contentful Paint (LCP) or Cumulative Layout Shift (CLS) scores.
RecoMelon's visual AI matching analyses fine-grained product attributes including fabric texture, colour harmony, silhouette structure, and print pattern. Rather than relying on broad category tags, the system identifies nuanced visual relationships between products - making recommendations feel precise and intuitive rather than generic. Accuracy improves over time as RecoMelon learns from how shoppers engage with the recommendation panel on your specific Shopify store.
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