Keyword: «e-commerce»

The current sanitary crisis has led to the need to develop new approaches, search for new solutions in the field of logistics. A significant change in the profile of logistics operations is the accelerated expansion of е-commerce. The management of warehouse and related cash flows using traditional optimization methods does not give an acceptable quantitative result. It is necessary to use approaches based on probabilistic estimates and taking into account the randomness factor using machine learning, for example, the Random forest algorithm. The proposed algorithm can be successfully applied to solving regression and classification problems for large data sets of online commerce nomenclature. The given example of changes due to the global crisis demonstrates the need to use those management tools and optimization of transport and warehouse logistics that take into account the explosive nature of the changes taking place and an extremely high proportion of the probabilistic component.