This article analyzes the essence of the concept of "packaging", made the systematization of approaches and the role of packaging in the course of treatment. According to research results, based on a critical analysis of the existing provisions of the creation of the package proposed by its own methodological tools, which brings together the work of the producers (designers, graphic designers) and marketers.

The paper is devoted to solving logistics problems based on information technologies. Petri net-based modeling is proposed as a solution method. The paper describes solution of the problem of supply chain management based on the Petri net.

The present article analyzes the problematic issues of digitalization of the automotive industry, motor transport and logistics in the Republic of Kazakh stan. The main emphasis is made on the consideration of positive results for the economy and society, which is the digitalization of the automotive industry, transport and logistics, the analysis of the tasks and content of digitalization in these sectors, the analytical study of the prospects of legal regulation of the automotive industry, motor transport and road logistics in the form of domestic legislative and international legal means to improve digitalization in these areas. The names and substantiation of 7 draft laws of Kazakhstan, which could be adopted in the near future by the Kazakh legislator, Вестник Инновационного Евразийского университета. 2019. № 2 ISSN 1729-536X 35 are proposed. The most important and priority bills include: «On state management of digital (creative) economy», «On the development of intelligent transport system in production and operation», «On the introduction of digitalization in the activities of companies, enterprises and institutions », «On the improvement of logistics based on digital technology along all the Kazakhstan roads».

The article analyzes the state and problems of cluster development in the real sector of the region based on the materials of the Pavlodar region. The main problem of innovative development of the Pavlodar region, as well as in all regions of Kazakhstan, in general, is the lack of innovative activity of enterprises, which is reflected in the volume, frequency and efficiency of their innovations. At the same time, most of the enterprises belonging to the real sector of the economy have sufficient resources for the development of innovative activity. However, the prospects for their interaction with enterprises in other sectors and sectors of the economy for the purpose of technology transfer are insignificant, which, in general, doesn’t meet the principles of balanced spatial development of the territory formulated by the program for the development of territories of the Republic of Kazakhstan until 2020. One of the ways to solve this problem is formation and development of a cluster approach and interaction of business entities. The article assesses the efficiency of the cluster’s functioning as an institution of regional development. On the example of the metallurgical cluster of Pavlodar region, the main ways and methods of forming cluster initiatives in the regional economy are considered, a SWOT analysis of the development of the metallurgical cluster of the region is given, and its main problems are identified; identifies priority directions of clusters’ development (metallurgical cluster, including the production of final products, the cluster of railway engineering, agri-food cluster), the realization of which in the region could create the conditions for the emergence and full development of a number of new highly specialized sectors such as cluster chemistry, cluster of road and construction machinery, transport logistics cluster, cluster of modern production technologies and engineering, cluster of manufacturing components for machinery and equipment and cluster of industrial electrical engineering and equipment for power engineering. The authors also noted that the realization of regional development strategies of cluster initiatives can potentially lay the foundations for clusters “future days”, such as: cluster of resource efficiency and environmentally processing, the cluster of new energy, the cluster of innovative medicine, tourism and recreational cluster.

When managing a filling station chain, it is necessary to solve the following tasks in dynamics: determining the volume of purchases by types of oil products sold and redistributing the available volume of various types of oil products to filling station chain. The peculiarity of this control task is that the replenishment of the storage of oil products is carried out centrally, and the sale of each type of fuel is carried out at separate filling stations of the network, that is, in many points. At the same time, the volume of each type of fuel sold by each station of the network should be taken into account separately, taking into account the seasonal demand for a specific oil product. In addition to modeling demand, information is needed on the volume of petroleum products that can be purchased from suppliers with the possibility of increasing or decreasing the volume of purchases due to demand. To solve this problem, a list of suppliers of a specific type of oil product with a possible range of supply volumes must be determined. In the proposed model, an attempt is made to solve the above problems. To solve them, a management model was developed, which was implemented using the Visual Studio C # programming environment and MS SQLServer DBMS. When developing the structure of the database tables, the task of managing a network of filling stations based on the Petri net was taken into account: that is, the database tables provided for storing information on the volumes of supplies of petroleum products, the volume of sales of each type of petroleum product, as well as the time of deliveries and sales. To solve the problem of centralized procurement for all types of fuel, the database provided tables with information about suppliers and possible volumes of supplies by them of various types of petroleum products. To solve the problems of forecasting demand, the model includes algorithms for predicting the volume of sales of petroleum products based on the accumulated time series of data for each type of fuel separately. The forecasting was carried out in order to assess the required volumes of purchases of oil products for the coming period. The prediction algorithms are implemented using two methods: linear approximation and exponential smoothing. Both algorithms take into account the seasonality of demand.

The progress of work on the creation of an "intelligent transport system" in Kazakhstan, the development and modernization of the road industry will be reported. The economic and social effectiveness of several transport corridors and new projects were analyzed. Transport corridors of foreign countries, methods of providing logistics services were presented. In his address, the head of state paid special attention to the issues of digitalization of all spheres of life of the population, including the transport sector of Kazakhstan. Currently, the Ministry of investment and development of the Republic of Kazakhstan is working on the creation of an "intelligent transport system" within the framework of the state program «Digital Kazakhstan» (ITS). ITS goal is to systematically integrate transport infrastructure, transport devices and users with modern information and communication technologies aimed at improving the safety and efficiency of the transport process. The concept will include 11 components in ITS. One of them is a special automated measuring instruments (UAVs), which are installed in the main automobile corridors. This device is designed to measure moving vehicles without contact and eliminate unjustified stops. This year, it is planned to put into operation 10 units of RSPP, and by 2020 it is planned to increase their number to 46 units. It is also planned to introduce a traffic management system that will inform drivers about the situation on the roads, a system for forecasting and analyzing climatic conditions, which is carried out through a network of weather stations along the roads, a network of video monitoring and special video cameras for detecting traffic violations, toll road systems that cover the cost of maintenance of the national road network, etc. They will be introduced in stages until 2021. The implementation of this project will reduce road deaths, increase the volume of transit traffic and the speed of logistics services, fully cover the main highways with measuring instruments and create favorable conditions for drivers on the roads. Such systems are already operating in South Korea, Japan, Australia, Europe and the United States.