This article presents a Digital Twin (DT) for the logistics system of a manufacturing enterprise using industrial IoT. DT data technology allows to find the required knowledge that can be interpreted and used to support the process of decision-making in the management of the enterprise. The authors propose a classification of DTs for manufacturing and a systematic approach to DT application, as well as its use for simulation of real logistics systems.