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Application of Data Science Methods and Tools for Supply Chain Management

Student: Embulatov Askar

Supervisor: Gleb Zakhodiakin

Faculty: Graduate School of Business

Educational Programme: Strategic Management in Logistics (Master)

Year of Graduation: 2019

The purpose of this work is application of Data Science methods and tools for Supply Chain Management . The work also includes analysis and identification of the main problems of the logistics activities of companie, analysis of methods for improving the demand management process, developing proposals for improving the demand management process, as well as evaluating the economic efficiency of the proposed solutions.

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