Visual search and recommendations for large home décor catalogs
Home décor shoppers decide through color, motif, finish, scale and room context, yet large catalogs often reduce those choices to rigid filters. RecoMelon turns product imagery and catalog context into search, collection and recommendation experiences that help shoppers navigate a wider assortment.
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
Home décor choices combine color, motif, shape, finish and the setting in which a product will be used. A shopper may know the visual effect they want while struggling to express it through a product name or a small set of filters.
Make it easier to continue from a promising reference product. The task may be finding a related pattern, a quieter color or an alternative shape, with enough context to judge whether it belongs in the intended room.
Where RecoMelon fits
VisualDNA™ can support relationships based on visible color, pattern, texture and shape. Shop Similar or Reveal™ lets the shopper explore those alternatives from a product already under consideration; The Index™ can be assessed for natural-language product requests.
Catalog data must remain authoritative for dimensions, pattern repeat, materials, suitability, price, stock and market availability. An image is a visual reference, not evidence of exact scale, technical performance or a regulated safety claim.
Coexistence and implementation
Begin with a category whose product imagery and commercial attributes are sufficiently consistent to review. Inspect whether recommendations retain the characteristics that matter to that category, and ensure that unavailable or ineligible products are handled by the agreed catalog rules.
Keep existing search in place during a bounded PDP or collection test. Where complementary sets are part of the brief, review the combinations as a separate task; visual coordination does not by itself prove physical compatibility or suitability.
Evaluation and evidence
Measure products explored, recommendation engagement and exposure of the catalog's long tail. Review progression towards purchase and conversion using an agreed baseline or control, recognizing that consideration patterns can differ across décor categories.
Include the merchandising effort needed to review matches and maintain product facts. Judge the test using the brand's own category, audience and stock conditions; another retailer's result should not be treated as a forecast for this assortment.
Yes. RecoMelon is designed to form visual product relationships across high-SKU catalogs. The published DecoratorsBest case study covers a 230,000-SKU range.
Depending on the category, visual intelligence can distinguish color families, patterns, textures, finishes, shapes and decorative styles alongside catalog facts such as price and availability.
Yes. Start with a selected collection, PDP alternative journey or visual discovery surface while the existing search stack remains in place.
Share a difficult category or search journey. We’ll identify where visual intelligence can reduce discovery friction.
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