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ViSenze

Paid
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AI-powered multimodal search and product recommendations for e-commerce discovery and personalization.

网站：https://www.visenze.com/
收录时间：2026年7月13日
月访问量：
9.4K
社交与联系：
AI searchmultimodal searchproduct recommendationse-commercevisual searchGenAI tagging
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ViSenze
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工具信息

什么是 ViSenze？

ViSenze is an AI-powered multimodal search and product recommendation platform for e-commerce product discovery and personalization. It delivers multimodal AI commerce search and discovery using text, images, or combinations, along with personalized recommendations, GenAI tagging, experience customization, and analytics to help online brands and retailers drive conversions.

核心功能

  • Multi-Search

    Allows customers to search using natural language text, keywords, images, or any combination in one query, plus social search to make posts shoppable.

  • AI Recommendations

    AI recommendation engine that surfaces products via visually similar items, pairing suggestions, shop the look, and personalized suggestions through an AI shopping assistant.

  • Experience Studio

    Enables customization of site-wide text, image, or lens search, conversational shopping assistant-led search, trigger search from catalog images, and recommendations from look-books, UGC, and social media.

  • GenAI Smart Tagging

    Uses advanced AI and machine learning to automatically apply relevant tags to products at scale, enriching product data for better searchability and alignment with customer intent.

  • Analytics

    Delivers actionable data to monitor performance, measure growth, maximize conversions, anticipate demand, improve attribution, identify customer funnel gaps, and track emerging trends.

使用场景

  • #1

    Fast Fashion Product Discovery

    Supports multimodal search and AI recommendations tailored for fast fashion catalogs and style discovery.

  • #2

    Luxury Retail Search and Recommendations

    Enables personalized search and discovery experiences for luxury brands and retailers.

  • #3

    Marketplace Catalog Search

    Provides scalable multimodal search, tagging, and recommendations for large marketplace product catalogs.

  • #4

    Home and Decor Recommendations

    Facilitates pairing suggestions, shop the look, and visual search for home and decor products.

  • #5

    Eyewear Visual Search

    Supports visual and similar product search experiences for eyewear retailers.

适用人群：BrandsRetailersE-commerce businesses in fast fashionLuxury retailersMarketplacesHome and decor businessesEyewear retailers

定价方案

Offers Multi-Search and AI Recommendations free for 30 days.

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常见问题

What is ViSenze?
ViSenze is an AI-powered multimodal search and product recommendation platform for e-commerce product discovery and personalization. It helps online brands and retailers with search using text, images, or combinations, plus personalized recommendations, GenAI tagging, and analytics.
What core features does ViSenze offer?
Key features include Multi-Search for text, keyword, image, or combined queries plus social search; AI Recommendations with visually similar items, pairing suggestions, shop the look, and an AI shopping assistant; Experience Studio for customizing search and discovery experiences; GenAI Smart Tagging for automatic product tagging at scale; and Analytics for performance monitoring and conversion insights.
Who is ViSenze designed for?
ViSenze is built for brands, retailers, and e-commerce businesses, including those in fast fashion, luxury retail, marketplaces, home and decor, and eyewear.
Does ViSenze offer a free trial?
Yes. ViSenze offers Multi-Search and AI Recommendations free for 30 days.
How can ViSenze help with product discovery?
It provides multimodal search across text, images, and combinations, AI-powered recommendations, GenAI smart tagging to enrich catalogs, and tools to customize experiences from look-books, UGC, and social media to improve discovery and conversions.

ViSenze 联系方式与社交媒体

访问官方网站

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工具信息

定价模式Paid
分类生活方式
二级分类
AI searchmultimodal searchproduct recommendationse-commercevisual searchGenAI tagging
语言英语
最后更新2026年7月16日
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