Vamsi Krishna Thatikonda
- Senior Software Developer, Department Of Computer Engineering, Washington, United States
Abstract
The field of e-commerce is undergoing a transformation due to the integration of artificial intelligence, offering businesses fresh possibilities to enhance customer experiences, streamline operations, and foster expansion. This article explores the transformative impact of AI on various aspects of e-commerce, including personalized shopping experiences, intelligent chatbots and virtual assistants, predictive analytics for inventory management, dynamic pricing strategies, visual search and image recognition, fraud detection and security measures, augmented reality and virtual try-on capabilities, voice commerce and conversational AI, and automated customer service. By leveraging AI technologies, e-commerce businesses can deliver highly personalized recommendations, provide real-time assistance, forecast demand accurately, implement dynamic pricing, streamline supply chains, and enhance security. Additionally, innovative technologies like augmented reality, virtual try-on, and voice-enabled shopping experiences powered by AI are reshaping the way consumers discover, evaluate, and purchase products online. AI has a lot of advantages for e-commerce businesses, such as better customer experiences, operational efficiencies, and data-driven decision- making capabilities. However, we need to consider ethical issues like data privacy, algorithmic bias, and transparency in decision-making processes to maintain consumer trust and ensure responsible AI adoption. These considerations are crucial to keep up with the rapidly evolving digital marketplace.
Keywords: Conversational AI, personalized recommendations, intelligent chatbots, virtual assistants, predictive analytics, inventory management, demand forecasting, dynamic pricing, promotions, visual search, image recognition, augmented reality.
[This article belongs to Journal of Artificial Intelligence Research & Advances(joaira)]
References
1. Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24-42. https://doi.org/10.1007/s11747-019-00696-0
2. Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., … & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168
3. Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172. https://doi.org/10.1177/1094670517752459
4. Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(3), 263-267. https://doi.org/10.2501/JAR-2018-035
5. Leyer, M., & Loebbers, J. (2021). Deriving continuous artificial intelligence from business process data. Artificial Intelligence Review, 54(6), 4345-4379. https://doi.org/10.1007/s10462-021-09974-x
6. Liao, C., Palvia, P., & Hsieh, J. J. (2021). Technological forces and strategic directions for AI-powered chatbots in e-commerce: An expert study. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2363-2389. https://doi.org/10.3390/jtaer16060132
7. Lipsman, A. (2019). Gartner predicts 100 million consumers will shop in augmented reality online and in-store by 2020. Retrieved from https://www.gartner.com/en/newsroom/press-releases/2019-04-01-gartner-predicts-100-million-consumers-will-shop-in-augmented-reality-by-2020
8. Saltan, A., & Smolander, K. (2021). Challenges and research directions for artificial intelligence in e-commerce. Scandinavian Journal of Information Systems, 33(1), 65-92. https://doi.org/10.51832/sjis.v33i1.201
9. Singh, J., Sharma, G., Hill, J., & Schnackenberg, A. (2022). Artificial intelligence in marketing:Conceptualization, value creation for firms, and future research directions. Journal of Business Research, 140, 95-112. https://doi.org/10.1016/j.jbusres.2021.10.055
10. Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in marketing. Marketing Intelligence & Planning, 36(3), 351-367. https://doi.org/10.1108/MIP-09-2017-0222
Journal of Artificial Intelligence Research & Advances
| Volume | 11 |
| Issue | 01 |
| Received | March 5, 2024 |
| Accepted | March 16, 2024 |
| Published | March 28, 2024 |