Visidea | Visual AI App Reviews

Do you want to personalize your e-commerce UX like Netflix?

With our VISUAL RECOMMENDATIONS and VISUAL SEARCH plugin, you can move your website to the next level of hyper-personalization.

A complete solution for the visual search and visual discovery that improve the customer journey and inspire your customers.

Shoppers are searching for your products, with camera search you can delight them.

Our visual search and visual discovery solution allows your customers to search your website items simply by snapping a photo from their device, or by uploading a picture from their computer.

Possibilities are endless: imagine your customer walking at the fashion week and looking at an outfit she adores. She can snap a photo and search your website for the products that best match.

Uploading a screenshot of their favorite influencer and finding similar products is now possible with our visual search and visual discovery solution.

Our visual recommendation platform automates your item tagging showing the most similar products to the ones your customers are browsing.

Our visual recommendation engine recognizes your items’ images and displays automatically the most similar products. Customers can choose from the original item and similar alternatives.

Our recommendation engine as a service optimizes sales of your e-commerce website.

Maximize ROI and user engagement with product recommendations.

Suggestions let users find more valuable products to buy and this will increase average cart value (ACV), customer lifetime value (CLV), and consequently optimize return on investment (ROI).

The user interaction and user experience will benefit from a great improvement because every customer will get unique recommendations about products, categories, and brands they like most.

Visidea has different features that adapt to your marketing needs!

• Connect your e-commerce websites.
• Setup visual search.
• Setup visual recommendation carousels.
• Setup product recommendation carousels.
• Various recommendation engine algorithms.
• Collaborative filtering.
• Content-based.
• Image-based.