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Raventic Features

Raventic's Core Features

Semantic Search Engine – understands the meaning and intent behind search queries, works beyond keywords using NLP and image recognition

Similar Product Recommendation – finds visually and contextually relevant alternatives

Complementary Product Recommendation – suggests intelligent recommendations based on meaning, context, appearance and business results

Visual & Text-Based AI – leverages both product descriptions and imagery for superior relevance, automatically learns from your catalog changes

Raventic's Use Cases

Making product discovery more intuitive and accurate with semantic understanding

Increasing conversions and average order value through relevant, AI-based recommendations

Reducing friction in search and cross-sell flows to improve customer experience

Scaling personalized discovery across large, multi-category catalogs

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