Our Hyper-Tagging Engine technology is at Velou's core.
First, we scan each image to single out the product and then analyze it to identify hundreds of variations of product features. The measurement from the waist to hemline tells us the length of a dress. The shape and curve of a neckline differentiates a t-shirt. We can increase the search attributes for an entire product catalog tenfold.
Our AI-powered color analyzer identifies the various colors in the product, while ignoring any colors in the rest of the image. Then it prioritizes color tags based on the percentages present in the product. So when shoppers include a color in their search, they get accurate and meaningful results.
We use Natural Language Processing to analyze the text in product descriptions and the existing metadata to develop a deeper understanding of the products and generate a thorough list of tags.
Our AI models continually monitor for search accuracy. If something isn't performing as expected, one of our fashion experts will step in to manually improve the system's understanding of product features.