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Optimizing Customer Experience for E-commerce Platforms

by Linda Moore
1
Lappeenranta University of Technology
*
Author to whom correspondence should be addressed.
JEIT  2021 3(3):101; https://doi.org/10.xxxx/xxxxxx
Received: 15 September 2021 / Accepted: 30 September 2021 / Published Online: 30 September 2021

Abstract

This paper explores the optimization of customer experience for e-commerce platforms through AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is revolutionizing traditional e-commerce practices, including product recommendation, personalized marketing, and customer service. The study highlights the application of AI techniques such as collaborative filtering, natural language processing, and sentiment analysis in understanding user behavior, anticipating preferences, and improving engagement on e-commerce platforms. Additionally, it discusses the integration of AI with chatbots, virtual assistants, and recommendation engines to provide seamless, personalized shopping experiences for consumers. The paper also addresses challenges such as data privacy, algorithmic transparency, and ethical considerations in the deployment of AI-driven engineering solutions in e-commerce. It emphasizes the importance of user trust, transparency, and accountability in leveraging AI's potential to enhance customer satisfaction and drive business growth in the digital marketplace.

 


Copyright: © 2021 by Moore. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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ACS Style
Moore, L. Optimizing Customer Experience for E-commerce Platforms. Journal of Engineering Innovations & Technology, 2021, 3, 101. doi:10.xxxx/xxxxxx
AMA Style
Moore L. Optimizing Customer Experience for E-commerce Platforms. Journal of Engineering Innovations & Technology; 2021, 3(3):101. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Moore, Linda 2021. "Optimizing Customer Experience for E-commerce Platforms" Journal of Engineering Innovations & Technology 3, no.3:101. doi:10.xxxx/xxxxxx

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References

  1. Bapna, R., Goes, P. B., & Gupta, A. (2013). Exploring the role of IT in retailing: A value-based approach to analyzing relationships. Information Systems Research, 24(2), 347-366.
  2. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165-1188.
  3. Han, S., Kim, H., Lee, K., & Lee, K. (2019). Service robots in the retail industry: A comprehensive review. International Journal of Industrial Ergonomics, 72, 92-106.
  4. Huang, L., Lai, K. K., & Wang, Y. (2019). Personalized recommendation algorithm based on improved collaborative filtering. International Journal of Information Management, 44, 87-98.
  5. Lee, M. C., & Turban, E. (2001). A trust model for consumer Internet shopping. International Journal of Electronic Commerce, 6(1), 75-91.
  6. Li, H., & Su, C. (2007). The influence of website quality on customer satisfaction in the B2C e-commerce context. Total Quality Management & Business Excellence, 18(3-4), 363-378.
  7. Wang, H., Wang, S., & Lai, K. K. (2018). Chatbot research: A literature review and future agenda. International Journal of Information Management, 49, 124-135.