Visual Search – How it works
Fast Simon Visual Search uses a deep learning model. The model’s output creates a representation of the shopper’s image that can be compared to images of the store’s products listing. That means that the listing images must have the same type of representation or a set of attributes that the AI can match the search image against, similar to metadata.
Once you enable Visual Search on your store, Fast Simon will study all your images and feed them to the AI to create a library of reference points.