Improving Retail Product Assortment

Warehouse optimization and the reduction of warehouse space create the need to allocate the products to the right stores. Otherwise shortages of certain products can occur, and logistic costs increase significantly.

Machine Learning can predict the demand based on inside and outside data, enabling the user to assort their products accordingly.

Modulos AutoML is designed to enable domain experts to build machine learning solutions without any prior knowledge in ML, enabling business analysts to find the right Machine Learning Model for their data.