Investigating role of artificial intelligence in E-commerce

Authors

  • Manpreet Singh Computer Science & Engineering Department Chandigarh University
  • Sandeep Singh Kang Associate Director of CSE Department

Keywords:

Artificial Intelligence (AI), E-commerce, Pricing Optimization, Voice Commerce

Abstract

Artificial intelligence (AI) has changed the way companies’ function and altered the e-commerce sector. In this study, we look at how artificial intelligence (AI) is being used in online retail to improve the shopping experience by making product suggestions according to each customer's tastes and habits. AI-enabled chatbots and virtual assistants expedite the resolution of client issues and questions. Sentiment analysis enables e-commerce companies to gauge customer satisfaction and make informed decisions AI algorithms also play a crucial role in fraud detection and security, safeguarding customers and businesses from potential threats, Voice commerce enables customers to make purchases through voice commands, simplifying the buying process. AI-driven search and product catalog management enhance search capabilities and improve the organization of product catalogs.

References

Adolphs, C., & Winkelmann, A. (2010). PERSONALIZATION RESEARCH IN E-COMMERCE – A STATE OF THE ART REVIEW (2000-2008). 11(4).

Asante, I. O., & Jiang, Y. (2023). OPTIMIZATION OF CONSUMER ENGAGEMENT WITH ARTIFICIAL INTELLIGENCE ELEMENTS ON ELECTRONIC COMMERCE PLATFORMS. 24(1).

Fedorko, R., Kráľ, Š., & Bačík, R. (2022). Artificial Intelligence in E-commerce: A Literature Review. In M. Saraswat, H. Sharma, K. Balachandran, J. H. Kim, & J. C. Bansal (Eds.), Congress on Intelligent Systems (Vol. 111, pp. 677–689). Springer Nature Singapore. https://doi.org/10.1007/978-981-16-9113-3_50

Gidh, P. G. (2020). A Multi-Dimensional Research Study in E-Commerce to Capture Consumer Expectations. International Journal for Research in Applied Science and Engineering Technology, 8(11), 411–415. https://doi.org/10.22214/ijraset.2020.32169

Ji, Q. (2020). Analysis on E-commerce Course Reform under the Background of Artificial Intelligence. Journal of Physics: Conference Series, 1533(3), 032088. https://doi.org/10.1088/1742-6596/1533/3/032088

Li, L., Lin, J., & Luo, W. (2023). INVESTIGATING THE EFFECT OF ARTIFICIAL INTELLIGENCE ON CUSTOMER RELATIONSHIP MANAGEMENT PERFORMANCE IN E-COMMERCE ENTERPRISES. 24(1).

McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and Validating Trust Measures for e-Commerce: An Integrative Typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81

Rashidin, Md. S., Gang, D., Javed, S., & Hasan, M. (2022). The Role of Artificial Intelligence in Sustaining the E-Commerce Ecosystem: Alibaba vs. Tencent. Journal of Global Information Management, 30(8), 1–25. https://doi.org/10.4018/JGIM.304067

Schafer, J. B., Konstan, J., & Riedl, J. (n.d.). Recommender Systems in E-Commerce.

Song, X., Yang, S., Huang, Z., & Huang, T. (2019). The Application of Artificial Intelligence in Electronic Commerce. Journal of Physics: Conference Series, 1302(3), 032030. https://doi.org/10.1088/1742-6596/1302/3/032030

Soni, V. D. (n.d.). Emerging Roles of Artificial Intelligence in ecommerce.

Wang, J., Gao, K., & Li, G. (2010). Empirical Analysis of Customer Behaviors in Chinese E-Commerce. Journal of Networks, 5(10), 1177–1184. https://doi.org/10.4304/jnw.5.10.1177-1184

Yin, C., & Han, J. (2021). Dynamic Pricing Model of E-Commerce Platforms Based on Deep Reinforcement Learning. Computer Modeling in Engineering & Sciences, 127(1), 291–307. https://doi.org/10.32604/cmes.2021.014347

Zhang, D., Pee, L. G., & Cui, L. (2021). Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse. International Journal of Information Management, 57, 102304. https://doi.org/10.1016/j.ijinfomgt.2020.102304 15. Fleming, P. (2019). Robots and organization studies: Why robots might not want to steal your job. Organization Studies, 40(1), 23–38. 16. Ghahramani, Z. (2015). Probabilistic machine learning and artificial intelligence. Nature, 521(7553), 452–459. 17. Hoffman, D., and Novak, T. (2018). Consumer and object experience in the internet of things: An assemblage theory approach. Journal of Consumer Research, 44(6), 1178–1204. 18. Kaplan, A., and Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. 19. Kaplan , A., Haenlein, M., Tan, C. , and Zhang, P. (2019). Artificial Intelligence (AI) and Management Analytics. Journal of Management Analytics, 6(4), 34 343. https://doi.org/10.1080/23270012.2019.1699876 20. Kober, J., Bagnell, J. , and Peters, J. (2013). Reinforcement learning in robotics: A survey. The International Journal of Robotics Research,

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Published

30-06-2023

How to Cite

Manpreet Singh, & Sandeep Singh Kang. (2023). Investigating role of artificial intelligence in E-commerce. International Journal for Research Publication and Seminar, 14(2), 202–207. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/409

Issue

Vol. 14 No. 2 (2023): Vol 14 | Issue 2 | April - June 2023

Section

Original Research Article

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