ViSenze

Use Case 1: Image-Based Fashion Search

Problem: Shoppers often see clothing items on social media or in public but struggle to find them online because they do not know the correct brand or search terms.
Solution: Retailers can integrate visual search, allowing users to upload a photo and instantly find identical or visually similar items within the catalog.
Example: A shopper uploads a screenshot of a dress from Instagram to a retailer's app and immediately sees the exact dress or highly similar alternatives.

Use Case 2: Automated Catalog Tagging

Problem: E-commerce teams spend significant manual effort tagging new inventory with descriptive attributes, which often leads to inconsistent metadata and poor search results.
Solution: The platform's generative AI automatically tags product catalogs at scale, assigning accurate visual traits and keywords.
Example: An online boutique uploads 5,000 apparel items, and the system automatically applies tags like "V-neck," "floral," "pastel blue," and "midi length."

Use Case 3: Visual Product Recommendations

Problem: Shoppers looking at an item often need matching accessories or alternative options, but static recommendation engines fail to capture visual style context.
Solution: Retailers use visual AI to recommend matching pairs and visually similar alternatives directly on the product detail page.
Example: A customer viewing a leather jacket is presented with recommendations for matching boots and jeans that coordinate with the jacket's style.