The product tagging process for online stores is in need of more efficient solutions that reduce manual work without affecting the quality of the user experience.
Fashion stores have to manage large amounts of different items in their product catalogs. This involves hours of manual tagging according to different attributes, such as type of clothing, color, style, or pattern which costs time and money. Further, such subjective categorization is prone to human error and simply not scalable in the long run.
Apart from the operational costs, taxonomy optimization has become the key to understanding customer behavior. It can provide data about the performance of your product categories, enhance personalization for product recommendations and facilitate product discovery.
Levity lets you import labeled product images from your catalog and automatically creates powerful AI models that you can use to classify new images. For common labels, Levity’s templates work out of the box and allow you to tag new items in seconds, without manual labeling.
For example, if a new product is added to your online catalog, it can automatically be tagged as “Animal print”, “Dress”, “Summer vacation”, or any other label you currently use.