ConversionBox AI-driven product discovery suite ensures customers find their perfect match, regardless of the terms or styles they use to search.
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Understands size, material, style, and intent to return relevant results even from vague, design-led searches.
Instantly answers fit, style, and comparison questions to move shoppers from browsing to buying with confidence.
Transforms individual products into full room setups that increase average order value through intelligent grouping.
Promotes best sellers, new arrivals, and seasonal collections based on rankings driven by performance and user behavior.
Shoppers refine their search by dimensions, color, material, room, and style using filters that adapt to each category and query.
More products are viewed across coordinated spaces.
Less browsing, more confident decisions.
Shoppers get clarity without contacting support.
Better fit and style matching reduces post-purchase regret.
Style-based searches failed until ConversionBox addressed relevance and filtering issues, resulting in a 22% conversion lift.
40% more product views after ConversionBox improved discovery and recommendations, fixing low search engagement.
Search performance dipped on DooFinder. ConversionBox restored relevance, resulting in a 20% increase in conversions.
Built for large catalogs, deep variants, and style-driven discovery while maintaining fast, consistent results.
Delivers low-latency responses with precise intent matching across complex furniture and décor datasets.