getdressed technology selects clothes exactly the way a stylists do. Artificial intelligence takes into account the interactions the user had with the products in the online store. getdressed knows what they liked best and what they liked least.

getdressed technology was created over 2 years. The process was based on cooperation with stylists, thanks to which we understood their perception of customers. This gave us the opportunity to take into account all the factors that stylists use - from cuts, colors and styles of clothes, to the behavior and personality of consumers.

getdressed technology takes into account customer behavior during a given shopping session.

getdressed collects anonymous information about user behavior on the store's site, such as the user's path from entry to the site through all interactions. We provide you with an analytics dashboard that allows you to view the data collected (including sessions where the user interacted with the plugin and ended up selling or adding a product to the cart). All processed data is anonymized, and it is not possible to recognize a single user.

to activate getdressed plugin you will need: a database of products in the store (called product feed). The database should contain all information about products, which are on the store's website. It is important that product feed is accessible through the link. implementation of a code snippet on the store page. This code runs plug-in on e-commerce site. The implementation is done free of charge as part of our cooperation. It can also be prepared by an IT specialist on the customer's side. We provide the instructions. The process is really simple.

Past experience and tests have not shown any significant influence of the getdressed plugin on the website loading time. If, during the pilot, there are any significant deviations - we will implement measures to optimize the solution for the selected store.

No, the plugin does not change any existing code. We perform a process similar to adding a Facebook Pixel or Google Analytics tag to a page. We add a short code snippet in one place.

We offer each brand a free pilot implementation for two weeks. Even before we start testing, we ask the client to send us a database of products (called product feed). Based on this, artificial intelligence creates sample styles and we send them to you for approval. This allows the customer to decide if they want to test getdressed plugin on their e-commerce site. During the trial period we measure the effectiveness of the plugin, and after it we send a summary of the results (real impact on sales and customer engagement) with a proposal for further cooperation.

The getdressed plugin suggests styles matching the product the user is browsing. These include clothing, footwear and accessories. The styles consist of products available on the store's website that fall within the price range set by the customer.

if a product's status is updated in the product database, an unavailable product will definitely not be selected for styling.