How It Works

Visual Commerce Platform Image Upload Logo

Shopper selects or clicks an image

Visual Commerce Platform API Logo

ViSenze API analyzes content of the images (image quality, fashion attributes)

Visual Commerce Platform API Logo

ViSenze API analyzes the contents of the image

Visual Commerce Platform API Logo

Information from image used to identify visually similar products from hundreds of online stores

Visual Commerce Platform API Logo

Deliver shoppable products similar to original image to users

Search And Buy Visual Commerce ViSenze

Let users buy products they see around them

ViSenze Visual Commerce Platform finds products your app users SEE instantly, removing the need to guess keywords. Users just snap a photo or use a screenshot and our platform does the rest.

Search And Buy Visual Commerce ViSenze 2

Shop the look or discover individual products

Shoppers often look at Instagram or other social media channels for inspiration but are not sure where to buy? Our Visual Commerce Platform lets users search for individual products or complete looks

Search And Buy Visual Commerce ViSenze 3

Build a personal shopping concierge

Enable your users to find visually similar products from hundreds of online stores around the world in matter of seconds

See it to believe it!

We built Egami to showcase how the Visual Commerce Platform works. Try it out.

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Why leading brands trust ViSenze

Scalability

Accuracy

Latency

Reliability

Customer Stories

  • UNIQLO
  • RAKUTEN
  • PATSNAP
  • CARATLANE
  • ZALORA
  • HIPVAN

Uniqlo uses ViSenze's Search by Image to enable shoppers to take a photo of an item in store and search online.

This eliminates ineffective and time consuming keyword guessing attempts during the product search and discovery process on uniqlo.co.jp. Instead, shoppers can now just take a photo of an item they see on the aisle, and look for matching items in UNIQLO’s online and offline stores.

Rakuten implemented the Search by Image solution from Visenze to enable users with better product discoverability. By introducing the new capability on its site, the company gave its mobile users the ability to use images or screenshots of products, instead of text, to search for visually similar products. In addition to search and discoverability, Rakuten also enhanced its recommendation engine by enabling the option to narrow down search by enabling search by color.

PatSnap is used by R&D, IP and business intelligence teams to search and analyze documents—including 120+ million patents—containing data on how companies worldwide are innovating.

Unlike online commerce, PatSnap uses ViSenze solutions to help power a unique online experience for its customers, helping them search and analyze intellectual property assets to power research and development.

Caratlane is one of India’s leading online jewellery stores and uses ViSenze Visually Similar Product Recommendations to power Find Similar recommendations on its website. Consumers can explore similar products to the one they are looking at as these recommended products are shown automatically on every product page, allowing easy browsing and navigation to help shoppers narrow down their choices and complete the purchase.

Zalora, one of the fastest growing fashion retailers in Asia, uses Visually Similar Product Recommendations and Search by Image to help shoppers effectively discover more than 200,000 items on their site.

The use of Artificial Intelligence powered image recognition helped Zalora improve user experience and engagement on their website and mobile app.

Hipvan is Singapore's favorite online furniture mall for stylish designs, quality products at honest prices.

By implementing Search By Image from ViSenze Hipvan saw an increase of 121% in engagement rate for shoppers who used the new functionality. In addition, shoppers who searched using an image were 2.7x more likely to convert. Hipvan was also able to improve marketing ROI as they reduced cost per impression by 32% by advertising the new app functionality