Recommendation Model for Online Sports Equipment Retailer Pricing Employing AI and Product Specifications

Student: Strelkov Vasiliy

Supervisor: Sergey P. Kazakov

Educational Programme: Retail Management (Master)

Year of Graduation: 2021

The final qualification work is devoted to the development of a model for predicting the price of sporting goods based on technical characteristics. After the analysis of the theory, the level of forecasting and the necessary data for the analysis were identified. The approach and method of creating a model was also highlighted. Based on the data of the «Driada-Sport» company, a group of sporting goods (treadmills) was identified. A sales report for the last 3 years was received for 103 nomenclature items. Based on this category, the technical features of the product were identified and a regression model for price prediction was built. At the end of the work, the areas for the application of the results obtained, as well as limitations on the use of the model, were indicated.

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