In online-shops like Zalando, customers traditionally spend much time browsing through the huge assortment, trying to find one specific article of their desire. First, they have to guess which keywords may lead them to the right category, then it requires some patience and fortune to adjust filter settings correctly. In this system, the product comes first. Our approach is: let's turn this process upside down and start with the most important factor instead: the customer's wish!


FEEL'N'FIND turns individual fashion desires into customized search results and recommendations on the easiest possible way! All we need is a little bit of information about the customer's expectations, which we acquire by asking simple questions. There's hardly any work to do on the user side, since all questions can be answered with just a few mouse clicks. After a couple of seconds, our system will recommend the best fitting articles in the database.

Share this project: