Improvement of Demand Management Process by Implementation of Demand Forecasting Models and Systems

Student: Orlov Artem

Educational Programme: Logistics and Supply Chain Management (Bachelor)

Year of Graduation: 2019

Theme: «Improvement of Demand Management Process by Implementation of Demand Forecasting Models and Systems» Key words: demand management, forecasting, machine learning, demand management process. The purpose of the work is to develop recommendations for improving the demand management process by implementing IT systems and models. As part of the work, the relevance of the topics raised was substantiated, the company's position on the market was analyzed, and problems in the process of demand management were identified. An algorithm has been developed for improving demand management process at Avon Beauty Products, and its economic efficiency has been proven through the use of strategic revenue model. The volume of the paper is 85 pages, on which are placed 36 pictures and 17 tables. 36 sources were used to write the work.

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