MAGAZINE  №2-3 (103) - 2021


INYUTSINA V.S. - Data Analyst, OZON (Moscow, Russia)


CATEGORY  Supply chain planning Information technologies in logistics and SCM Modern concepts and technologies in logistics and SCM


Nowadays, e-commerce became one of the most dynamic technology markets in Russia. It is gradually becoming an essential part of the national economy. This trend has intensified especially during the pandemic, when online shopping became an affordable tool of necessity. The growing demand has determined the basic principles of leadership on the e-commerce market, such as having a wide coverage of regions, fast and free delivery due to a developed logistics infrastructure and accurate sales forecasting. At the current stage of e-commerce development, participants have entered the level of competition through the use of the latest technologies, among which are: artificial intelligence, augmented reality and machine learning tools.

For the company in 2021, the operational efficiency is at the most priority. Marketplace will focus on launching new and developing current products and services, increasing the supplier base, and expanding the logistics infrastructure.

The main result of this study is an analysis of the state of the logistics infrastructure in an online retail company, including a generalization of the number of pick-up points and automated post offices in each region, as well as their throughput. In addition, the long-term short-term memory (LSTM) neural network will be used as the main solution to the problem. The final result is the selection of various regions in which the existing logistics infrastructure of the company does not agree with the predicted volume of future sales, and a method for calculating the demand for a pickup point required to cover the demand will be proposed.

Before starting the experiment, a basic analysis of business and logistics will be carried out to understand the current state of the infrastructure. This will be followed by an analysis of the current process for managing the network of pick-up points, with a further understanding of the models and data used. The importance of this part is due to one of the goals of this study - it offers the company an innovative approach to the points of issue of orders. In addition, a review of networks about the available neural structures will be carried out with a justification of the model, which will be announced in the experiment. Possible examples of neural network structures for studying are recurrent neural networks, LSTMs, multilayer perceptrons, and others.

The company's research will expand market coverage, reduce lost sales and overall lead times.

 Electronic version


Published in Supply chain planning

MAGAZINE  №4 (99) August 2020


CATEGORY Analytics and reviews Information technologies in logistics and SCM Modern concepts and technologies in logistics and SCM Simulation modelling



The article provides analysis of the main directions and technologies of artificial intelligence and their application in digital supply chains; specifies prospects of intelligent information systems application to improve interorganizational cooperation and participants’ collaboration in integrated and network structures of supply chains. Particular attention is paid to the research of possibilities of modern multi-agent technologies and intelligent systems in supply  chain management aimed at interorganizational cooperation of partners, conflict management and consensus reaching between network partners, real time risk management, dynamically reconfigurable network structure formation of supply chains.


 Electronic version

 Keywords: supply chain management Artificial Intelligence AI knowledge management multiagent systems digital twin

MAGAZINE  №2 (91) April 2019


CATEGORY Controlling Information technologies in logistics and SCM



The advanced concept of control, monitoring and management of complex supply chains «Supply Chain Control Tower – SCCT» is considered. The basic terminology is given, the problematics is indicated and the key stages of the evolution of the SCCT concept are analyzed in the direction of increasing the maturity level of projects from version CT 1.0 to version CT
4.0. The shortcomings of earlier versions of the Control Tower (1.0-2.0) are analyzed. The article describes the design methodology of modern SCCT, including ensuring end-to-end visibility of the supply chain, building and exchanging data in a Multi-party Network, synthesis of a digital model – a twin of the physical supply chain; creation of information hubs for reli-
able storage and transmission of information using digital technologies, in particular, the blockchain. Examples of the implementation of the Control Tower 4.0 company One Network are set. The advantages of using advanced versions of Control Tower 4.0 for controlling and adaptive management of complex supply chains using predictive analytics and artificial intelligence are shown.

 Electronic version


Wednesday, 02 January 2019 20:45

Intellectual Supply Chain Creation

MAGAZINE №4(87) August 2018


CATEGORY Analytics and reviews Information technologies in logistics and SCM Modern concepts and technologies in logistics and SCM


This article examines main influence of the Fourth industrial revolution announced in 2011 and of a lot of new technologies penetrating everyday life on existing processes in supply chain management and on its future development. The article reviews components of intelligent supply chains which are divided into two unequal groups: revolutionary and evolutionary technologies. The former ones are Internet of things, machine learning, 3d printing, blockchain, artificial intelligence and bots -all of which radically change the logic of supply chain work. The second group – evolutionary technologies – is more about successfully developing graphic technologies and functional organization of a workplace. The article mainly focuses on the first group. As a result, the article concludes that all these technologies closely intersect, which forms additional synergic effect of their contact; and that functions and responsibilities of an expert of supply chain management in a company should be thoroughly revised.  

 Electronic version



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