Enterprise product discovery for Shopify Plus
RecoMelon helps Shopify Plus teams connect natural-language search, visual recommendations, smart collections and complementary bundles across large, multi-category and multi-market catalogs. Deployments can be phased around the storefront architecture, data ownership and measurement requirements of the brand.
Search that understands what shoppers mean. Conversational and contextual search interprets style, color, attributes and intent. Dynamic merchandising balances commercial and catalog 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 visualize 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 Shopify Plus team may be managing several categories, regional storefronts and release schedules at once. The difficulty is often maintaining relevant product journeys while stock, variants and merchandising priorities change across those contexts.
Map the highest-friction surface first. Separate a shopper relevance problem from a market-eligibility problem or an operational bottleneck, then choose a category and market where the team can establish a reliable baseline.
Where RecoMelon fits
RecoMelon can be evaluated across natural-language search with The Index™, PDP alternatives with Reveal™ or Shop Similar, and complementary sets with Bundles™. VisualDNA™ provides product relationships that can support these visual decisions.
Start with the capability that addresses the documented gap. Use current product and variant data to constrain the experience, and review representative recommendations with the merchandising team before exposing them to the selected audience.
Coexistence and implementation
For a theme-based storefront, review the relevant Shopify blocks, sections and templates. For a custom or headless implementation, scope the delivery path with the storefront team. Agree ownership of catalog ingestion, market eligibility, analytics and releases.
Keep the initial deployment bounded and define a fallback for the selected surface. Confirm how exclusions and commercial priorities will be applied in the actual setup rather than assuming every storefront in the estate is configured identically.
Evaluation and evidence
Measure product exploration, recommendation engagement, conversion and average order value for the selected category and market. Record implementation work, merchandising review time and exceptions that need manual attention.
Use consistent attribution and a suitable control where traffic allows it. Expand only after checking that the result holds across the relevant devices, stock conditions and shopper journeys; success in one market is a reason to test the next, not a guarantee.
Start with the catalog, markets, storefront architecture and priority discovery surfaces. Agree how products and variants are ingested, which system owns each experience, how analytics are attributed and how releases are governed.
Yes. A phased rollout provides a lower-risk way to validate relevance and commercial outcomes before expanding.
No blanket rebuild is required. Shopify 2.0 blocks and sections support many deployments, while custom or headless storefronts are scoped to their architecture.
Share your catalog scale, markets, storefront model and current discovery stack. We’ll map a phased deployment.
Request a catalog review