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AI app

ViSenze

AI search and recommendations platform for retailers, offering text and image multi-search, visually similar and shop-the-look recommendations, GenAI product tagging and discovery analytics.

  • Enterprise pricing

Listing data refreshed Built from public product pages and documentation. SourcesClaim this listing

ecommerceguide summary

ViSenze runs AI search and recommendations on retail catalogues. Multi-Search accepts natural language, keywords, images or a combination in one query, and social posts can be made shoppable. The recommendation engine covers visually similar items, pairing suggestions and shop the look. GenAI Smart Tagging applies product tags automatically, and analytics tracks shopper activity. Integration uses connectors, SDKs and APIs. Multi-Search and AI Recommendations are free for 30 days, with pricing handled through a demo request.

Why it stands out

Now part of Rezolve Ai, with one Multi-Search query accepting natural language, keywords and images together.

What ViSenze does

ecommerceguide editorial
  • Multi-Search takes text, keywords, images or combined queries
  • Recommendations include visually similar, pairing suggestions, shop the look
  • GenAI Smart Tagging applies product tags across catalogues automatically
  • Experience Studio configures site-wide search and shopping assistant experiences
  • Analytics covers funnel gaps, demand and emerging style trends
  • Connectors, SDKs and APIs for ecommerce platforms or custom sites
  • 30-day free trial of Multi-Search and AI Recommendations
  • Published by ViSenze, a Rezolve Ai company

How ecommerce teams could use it

ecommerceguide editorial

Illustrative scenarios written by ecommerceguide from the product's documented capabilities. They are not customer case studies.

  1. Fashion marketplace with catalogue data supplied by many third-party sellers

    Product tags are inconsistent, so keyword search misses relevant listings

    Intended outcomeGenAI Smart Tagging applies tags at scale and Multi-Search returns results from text or image input

  2. Home and decor retailer whose shoppers browse by style

    Adding similar-item and shop-the-look modules to product and listing pages

    Intended outcomeThe recommendation engine serves visually similar items and shoppable products drawn from model or room images

  3. Eyewear retailer running a website and mobile app

    Adding camera-based search and a conversational shopping assistant to both surfaces

    Intended outcomeExperience Studio configures image, text and assistant-led search, with analytics tracking the resulting shopper activity

Who it suits

ecommerceguide editorial

Best for

You sell from a large retail catalogue and want image, text and combined search plus automated product tagging, integrated through connectors, SDKs or APIs.

Probably not for

You need published pricing or a self-serve signup, since ViSenze lists no prices and routes buyers through a demo request after the 30-day trial.

Business size
Any stageViSenze publishes no prices or revenue bounds, offering a 30-day trial and a demo request across fast fashion, luxury, marketplace, home and eyewear retail.
Verticals
DTC apparel and fashion, Home and furniture, Marketplaces

ViSenze pricing

From the vendor

As published by the vendor. Prices change, so confirm on the vendor's site before buying.

Model
Enterprise pricing

Often used alongside

ecommerceguide editorial

What the vendor and reviewers say

From the vendor

Customers named by ViSenze

  • Glami
  • AJIO
  • DFS
  • Myntra
  • Rakuten
  • Meesho
  • Lotte Homeshopping
  • Zalora
  • Tod’s
  • Urban Outfitters
  • Shinsegae
  • Target

Named on the vendor's own site (source (opens in a new tab)). Not confirmed with the customers.

Categories and use cases

Sources

ecommerceguide profiles are built from public product information and written for ecommerce teams. We do not test products, and paying never changes where a listing ranks.

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