Artificial Intelligence (AI) is transforming the e-commerce sector by creating new opportunities to enhance efficiency, personalize services, and develop innovative business models. This impact is especially significant in emerging economies, where traditional infrastructure often fails to meet the demands of modern trade. AI is becoming a powerful catalyst for change, offering solutions to overcome challenges such as underdeveloped logistics, limited access to financing, and insufficient digital literacy among the population.
The article presents examples of successful AI implementation in the e-commerce sector of emerging economies. For instance, the automation of warehouse processes in India has reduced order processing time by 40%, while machine learning algorithms in African countries have optimized delivery routes, cutting logistics costs by 30%. Personalized marketing strategies based on user data analysis have increased online sales conversion rates in Southeast Asia by 25%, and in Latin America, AI-powered chatbots have significantly expanded the availability of customer support services.
The paper examines the key aspects of AI's impact on e-commerce, including supply chain optimization, improving service accessibility, and enhancing customer experience through personalization and demand forecasting. It also analyzes barriers to the widespread adoption of AI, such as a lack of quality data, a shortage of skilled professionals, and limited funding. Particular attention is given to strategic approaches that help overcome these obstacles. These include international cooperation, the development of AI-focused educational programs, government support, and investments in digital infrastructure. The study highlights the importance of AI as a driver of digital transformation and accelerated economic growth in regions with high development potential.
Artificial Intelligence (AI) is transforming the e-commerce sector by creating new opportunities to enhance efficiency, personalize services, and develop innovative business models. This impact is especially significant in emerging economies, where traditional infrastructure often fails to meet the demands of modern trade. AI is becoming a powerful catalyst for change, offering solutions to overcome challenges such as underdeveloped logistics, limited access to financing, and insufficient digital literacy among the population.
The article presents examples of successful AI implementation in the e-commerce sector of emerging economies. For instance, the automation of warehouse processes in India has reduced order processing time by 40%, while machine learning algorithms in African countries have optimized delivery routes, cutting logistics costs by 30%. Personalized marketing strategies based on user data analysis have increased online sales conversion rates in Southeast Asia by 25%, and in Latin America, AI-powered chatbots have significantly expanded the availability of customer support services.
The paper examines the key aspects of AI's impact on e-commerce, including supply chain optimization, improving service accessibility, and enhancing customer experience through personalization and demand forecasting. It also analyzes barriers to the widespread adoption of AI, such as a lack of quality data, a shortage of skilled professionals, and limited funding. Particular attention is given to strategic approaches that help overcome these obstacles. These include international cooperation, the development of AI-focused educational programs, government support, and investments in digital infrastructure. The study highlights the importance of AI as a driver of digital transformation and accelerated economic growth in regions with high development potential.
| № | Муаллифнинг исми | Лавозими | Ташкилот номи |
|---|---|---|---|
| 1 | Murodov S.A. | Student | Higher School of Business and Entrepreneurship under the Cabinet of Ministers of the Republic of Uzbekistan |
| № | Ҳавола номи |
|---|---|
| 1 | Explores the economic and business impacts of technologies, including AI. Marcin Szczepański. Members' Research Service PE 637.967 – July 2019. |
| 2 | Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. |
| 3 | World Bank Group. (2021). Digital Economy for Africa Initiative: Country Diagnostic Reports. World Bank Publications. |
| 4 | OECD. (2019). Artificial Intelligence in Society. OECD Publishing. |
| 5 | Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37-50. |
| 6 | Statista. (2024). E-commerce growth in emerging markets. |
| 7 | Analytical reports on the growth of e-commerce in countries like India, Brazil, and Kenya. |
| 8 | UNCTAD. (2022). Digital Economy Report 2022: Cross-border data flows and development. United Nations Conference on Trade and Development. |
| 9 | Goyal, S., Esposito, M., Kapoor, A., & Sergi, B. S. (2019). Emerging markets and the digital economy: Building trust and developing new value propositions. Technological Forecasting and Social Change, 148, 119730. |
| 10 | https://journals.sagepub.com/doi/full/10.1177/09711023241303621 |
| 11 | https://documents.worldbank.org/en/publication/documents-reports/documentdetail/993711613713486658/artificial-intelligence-in-emerging-markets-opportunities-trends-and-emerging-business-models |
| 12 | https://link.springer.com/article/10.1007/s12525-022-00537-z |