Improvement of Planning Processes in the Supply Chain of Distant Retail Company by Implementing Forecasting Models and Tools

Student: Buzmakov Alexandr

Educational Programme: Strategic Management in Logistics (Master)

Year of Graduation: 2018

The main focus of this paper is on problems of planning process organization in the supply chain of distant-retail company connected with implementation of predictive analytics software. It contains the description and analysis of different approaches to business-planning and best practices. During the research there were revealed the premises for implementation of analysis-support information system. Current research provides a foundation for planning process reorganization in the company along with the specific parameters of process set accordingly to the business particularities.

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