Syte

A shopper who spots a dress in a photo and cannot find where to buy it is the story Syte tells about its own beginning. Founded in 2015 as an image search company, it has grown into what it calls the first product discovery platform for online retail, with a focus on apparel and other fashion-led ecommerce.

Search by picture

At the center is visual AI. Shoppers can search with an image and be shown matching items, and an inspiration gallery connects browsing to buying across the catalog. A set of visual recommendation engines includes shop similar, shop social and shop the look or room, among others. Syte also mentions solutions for physical stores, such as smart mirrors.

Tagging that feeds text search

Syte's automated product tagging reads the catalog and applies tags, which the company says improves text search as well as merchandising. An AI tag editor and a lexicon manager let a merchandising team refine the terms and keep navigation tidy. The company groups this work in a suite for search and merchandising.

Personalization from behavior

A personalization suite combines real-time shopper behavior with visual data to predict which products a given shopper is most likely to buy. Syte also lists visual AI and data-driven marketing tools, and says its brand customers use the platform to improve navigation, conversion and average order value. It describes its visual AI as the most accurate available, which is its own claim.

How the platform is organized

Syte organizes its products as a product discovery platform made up of a visual discovery suite, a suite for search and merchandising and a hyper-personalization suite, with a lighter package for growing ecommerce businesses. It publishes reports, eBooks, case studies, a glossary and playbooks on retail visual AI, including an analysis of shopper behavior across billions of ecommerce sessions in fashion, jewelry and home decor.