We would like to present a data science approach to business case of clustering similar objects on Allegro platform. Our solution is using text embeddings (GloVe algorithm) as input to training supervised similarity models - siamese recurrent neural networks in Tensorflow (TF and Keras API). We will present results of our models and business application of our method.