STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Artificial Intelligence Research & Advances Review Article

The Rise of AI in E-Commerce: Transforming Shopping Experiences

  1. Vamsi Krishna Thatikonda Department of Computer Engineering

Abstract

The field of e-commerce is transforming 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 artificial intelligence (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

References (10)

  1. Davenport T, Guha A, Grewal D, Bressgott T. How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science. 2019;48(1):24-42. doi:10.1007/s11747-019-00696-0
  2. Dwivedi YK, Ismagilova E, Hughes DL, Carlson J, Filieri R, Jacobson J, et al. Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management. 2021;59:102168. doi:10.1016/j.ijinfomgt.2020.102168
  3. Huang MH, Rust RT. Artificial Intelligence in Service. Journal of Service Research. 2018;21(2):155-172. doi:10.1177/1094670517752459
  4. Leyer M, Loebbers Deriving continuous artificial intelligence from business process data. Artif Intell Rev. 2021;54:4345–4379. doi:10.1007/s10462-021-09974-x.
  5. Waleed M, Latif R, Yakubu BM, Khan MI, Latif S. T-Smart: Trust Model for Blockchain Based Smart Marketplace. Journal of Theoretical and Applied Electronic Commerce Research. 2021;16(6):2405-2423. doi:10.3390/jtaer16060132
  6. Gartner. (2020). Gartner Says 100 Million Consumers Will Shop in Augmented Reality Online and In-Store by 2020. [online] Available from: https://www.gartner.com/en/newsroom/press-releases/2019-04-01-gartner-says-100-million-consumers-will-shop-in-augme.
  7. Kotsopoulos D, Karagianaki A, Baloutsos S. The effect of human capital, innovation capacity, and Covid-19 crisis on Knowledge-Intensive Enterprises’ growth within a VC-driven innovation ecosystem. Journal of Business Research. 2022;139:1177-1191. doi:10.1016/j.jbusres.2021.10.055
  8. Saltan A, Smolander Challenges and research directions for artificial intelligence in e-commerce. Scand J Inf Syst. 2021;33:65–92. doi:10.51832/sjis.v33i1.201.
  9. Kietzmann J, Paschen J, Treen E. Artificial Intelligence in Advertising. Journal of Advertising Research. 2018;58(3):263-267. doi:10.2501/jar-2018-035
  10. Syam N, Sharma Waiting for a sales renaissance in the fourth Industrial Revolution: Machine learning and artificial intelligence in marketing. Mark Intell Plann. 2018;36:351–367. doi:10.1108/MIP-09-2017-0222.
Support