Impact of AI on E-commerce Revenue Growth
Authors/Creators
Description
This paper examines the transformative impact of artificial intelligence (AI) technologies on revenue growth within the e-commerce industry. By integrating AI in predictive analytics, personalized recommendations, and process automation, e-commerce platforms have significantly enhanced key revenue metrics such as transaction volumes, average order values, and customer lifetime value. The study adopts both quantitative and qualitative research methods, including regression analysis of transaction data and interviews with industry experts. The findings underscore the pivotal role of AI in driving revenue by improving customer engagement and operational efficiencies. This research offers valuable insights for e-commerce entities aiming to leverage AI for economic advantage.
Files
EJAET-10-5-80-83.pdf
Files
(218.6 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:584816083546e0678397b96969b55f90
|
218.6 kB | Preview Download |
Additional details
References
- [1]. A. Agrawal, J. Gans, and A. Goldfarb, "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, vol. 32, no. 2, pp. 31–50, 2018.
- [2]. M. Chui, J. Manyika, and M. Miremadi, "What AI can and cannot do (yet) for your business," McKinsey Quarterly, vol. 54, no. 1, pp. 96–108, 2018.
- [3]. E. Brynjolfsson and A. McAfee, "The Business of Artificial Intelligence," Harvard Business Review, vol. 95, no. 4, pp. 3–11, 2017.
- [4]. eMarketer, "Global Ecommerce Forecast 2022," 2022. [Online]. Available: https://www.emarketer.com/content/global-ecommerce-forecast-2022.
- [5]. A. Davenport and J. Ronanki, "Artificial Intelligence for the Real World," Harvard Business Review, vol. 96, no. 1, pp. 108–116, 2018.
- [6]. M. Chui et al., "Notes from the AI frontier: Applications and value of deep learning," McKinsey Global Institute, 2018.