Optimization of Business Processes in E-Commerceusing Artificial Intelligence Methods and Algorithms
https://doi.org/10.35596/1729-7648-2024-22-6-103-111
Abstract
The paper discusses methods and algorithms of artificial intelligence aimed at automating and optimizing business processes in e-commerce. The possibilities of using artificial intelligence to personalize customer offers, predict consumer behavior and segment customers using machine learning methods are presented. The features of the application of artificial intelligence in such large companies as Amazon, Walmart, OZON and Netflix are analyzed, where it allows improving the accuracy of forecasts and automating decision-making processes. It is proposed to use natural language processing methods and neural networks to automatically generate advertising descriptions of goods, which helps to increase the effectiveness of marketing strategies and reduce costs.
About the Authors
E. S. Piskun
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Piskun Ekaterina Sergeevna, Cand. of Sci., Associate Professor at the Department of Design Information and Computer Systems
220013, Minsk, P. Brovki St., 6
Tel.: +375 17 292-20-80
D. V. Nuansengsy
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Nuansengsy D. V., Masterʼs Student at the Department of Design Information and Computer Systems
Minsk
E. N. Kotsko
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Kotsko E. N., Masterʼs Student at the Department of Design Information and Computer Systems
Minsk
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Review
For citations:
Piskun E.S., Nuansengsy D.V., Kotsko E.N. Optimization of Business Processes in E-Commerceusing Artificial Intelligence Methods and Algorithms. Doklady BGUIR. 2024;22(6):103-111. (In Russ.) https://doi.org/10.35596/1729-7648-2024-22-6-103-111
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