Visual search technology comes in many varieties but all approaches center on the fact that it’s easier to find what you want looking at a product than typing out a description of it. At Sentient, our Aware platform analyzes the images themselves on hundreds of vectors, understanding what the product is and, importantly, what other products are similar to the user’s search intent.
Visual search is ideal for products we buy largely based on their appearance–think clothes and apparel and home decor, for example. Products that are more utilitarian don’t work nearly as well. After all, you’d never buy a nail or a screw based on how it looked; you’d buy it based on its size and if it’ll get the job done. Visual search gives users a more intuitive way to find products, more like browsing a store that evolves to their taste then interacting with a spreadsheet.
Traditionally, ecommerce personalization hasn’t been all that personal. Brands have used things like emails with first names or cohort recommendation–think “users like you also purchased”–as personalization strategies. Aware is different. It uses each click of each individual user to surface products that fit that user’s sense of style. It doesn’t use historical data or groups of similar uses: it analyzes unique shoppers, in-the-moment. It’s true personalization.