Journal Browser
Open Access Journal Article

AI-driven Innovations in Retail and Customer Experience

by Sophia Taylor 1,*
1
Sophia Taylor
*
Author to whom correspondence should be addressed.
as  2021, 20; 3(1), 20; https://doi.org/10.69610/j.as.20210617
Received: 22 April 2021 / Accepted: 14 May 2021 / Published Online: 17 June 2021

Abstract

The integration of artificial intelligence (AI) into the retail sector has revolutionized traditional brick-and-mortar stores, with a significant impact on customer experience. This paper examines the transformative role of AI-driven innovations in the retail industry, focusing on various aspects such as personalized shopping experiences, inventory management, and customer service. By leveraging AI algorithms and machine learning, retailers are now able to analyze consumer behavior patterns, predict demand, and tailor their offerings to individual preferences. The study highlights the benefits of AI in enhancing customer satisfaction and loyalty through targeted marketing, intelligent product recommendations, and efficient order fulfillment. Furthermore, the paper discusses the challenges faced by retailers in adopting AI technologies, including data privacy concerns and the need for skilled workforce. Overall, the analysis indicates that AI-driven Innovations in Retail and Customer Experience are poised to shape the future of the retail industry, offering both opportunities and challenges for businesses and consumers alike.


Copyright: © 2021 by Taylor. 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.

Share and Cite

ACS Style
Taylor, S. AI-driven Innovations in Retail and Customer Experience. Advanced Sciences, 2021, 3, 20. https://doi.org/10.69610/j.as.20210617
AMA Style
Taylor S. AI-driven Innovations in Retail and Customer Experience. Advanced Sciences; 2021, 3(1):20. https://doi.org/10.69610/j.as.20210617
Chicago/Turabian Style
Taylor, Sophia 2021. "AI-driven Innovations in Retail and Customer Experience" Advanced Sciences 3, no.1:20. https://doi.org/10.69610/j.as.20210617
APA style
Taylor, S. (2021). AI-driven Innovations in Retail and Customer Experience. Advanced Sciences, 3(1), 20. https://doi.org/10.69610/j.as.20210617

Article Metrics

Article Access Statistics

References

  1. Burbules, N. C., & Callister, T. A. (2000). Watch IT: The Risks and Promises of Information Technologies for Education. Westview Press.
  2. Hennig-Thurau, T., Gwinner, K. P., & Grebitus, C. (2004).. Journal of Service Research, 7(3), 302-314.
  3. Chintakunduri, S., & Wang, S. (2009). Customer Segmentation in Retail: An Application of Data Mining Techniques. International Journal of Advanced Research in Management and Social Sciences, 2(3), 73-85.
  4. Fawcett, T., Provost, F., & Fawcett, T. (2002). Using Neural Networks for Demand Forecasting in Retailing. Journal of Forecasting, 21(1), 39-54.
  5. Simchi-Levi, D., & Kaminsky, P. (2000). Designing and Operating the Supply Chain. McGraw-Hill.
  6. Wang, Y., & Liu, Y. (2006). A Personalized Customer Service Strategy Using AI Chatbots. Expert Systems with Applications, 31(3), 447-460.
  7. Davenport, T. H., & Harris, J. G. (2007). Competing on Analytics: The New Science of Winning. Harvard Business Press.
  8. Feurer, D., & Owen, D. (1997). Using Artificial Intelligence in Supply Chain Management. International Journal of Production Economics, 49(1), 1-19.
  9. HOLT, D. C. (1991). Using Artificial Intelligence in Store Layout and Design. Journal of Retailing, 67(1), 51-64.
  10. Turban, E., & Green, S. (2004). Information Technology for Management. Prentice Hall.
  11. Russell, S., & Norvig, P. (2003). Artificial Intelligence: A Modern Approach. Pearson Education.
  12. Hennig-Thurau, T., Gwinner, K. P., & Grebitus, C. (2004). Electronic Customer Relationship Management: An Integrated Framework. Journal of Service Research, 7(3), 302-314.