and systems in logistics but with economic models and methods. The example this is ABC analysis. ABC analysis is a method of locating goods in a warehouse according to its parameters, for example a turnover. With the RFID it can be updated in real-time and the storage cell can be changed due to a rise or fall in turnover of a particular type of goods (Gusev, 2011). Methodology In the research methods of studying will be used on the theoretical and empirical levels. The theoretical level includes learning scientific publications on both Russian and English languages, such as articles, journals, monographs, conference proceedings. Then will be done such methods as generalization and systematization of the received information, its analysis, synthesis and creation of a complex display of actuality. Empirical research will include studying the real data about companies and their economic indicators while implementing automatic identification technologies, also some of the parameters are expected to be get from simulation modelling. Simulation modelling Ganyukov, Khanova & Suldina (2012) affirm that a simulation model displays a real object in the system with its internal and external relations and checks how it will work under certain conditions. Thus, a model of a conditional warehouse system in the program named AnyLogic will be created, reflecting the difference in the processing of cargo units based on barcoding and radio frequency identification (Dejam, 2015). This will be done on the basis of queuing theory, according to this theory there will be simulated an incoming flow of requests which is then processed by the service channels (Kachanova, 2009). Integration of RFID and ABC analysis ABC analysis, for example, can be used to place new shipments in the storage area in accordance with how quickly customers buy this particular product in the store, thereby filling the goods on the shelves in large stores could be done more quickly. By itself, ABC analysis works as follows: depending on the turnover, a group of goods is determined: group A – the most important product group, providing up to 80% of the economic result, makes up 20% of the stocks; Group B – the average in importance product group of goods, giving 15% of the result and constituting 30% of stocks; Group C is a problematic assortment group that yields 5% of the result and constitutes 50% of stocks. This group differentiation can be done in many ways and it is expected to choose the most appropriate one (Gusev, 2011).>