Models and Methods of Improving Distribution Efficiency

Student: Lebedyanskiy Maxim

Supervisor: Nikolay Mayorov

Faculty: St.Petersburg School of Economics and Management

Educational Programme: Strategic Management in Logistics (Master)

Year of Graduation: 2019

Final qualifying work is devoted to improving the efficiency of the supply chain in retail through integration of modern informational technologies. The global retail market is analysed through open researches and ratings. The global leaders of retail industry are identified. The approach of using computer vision and machine learning technologies through neural networks of Walmart and Amazon is described. The main goal in this work is not only to determine the vector of development, which is set by the leaders of the industry, but to find out how domestic companies are ready to move in the same direction.

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