AI SYSTEMS FOR SEAMLESS CUSTOMER EXPERIENCE AND PRODUCT CUSTOMIZATION IN E-COMMERCE

Authors

  • Rakhmonova Maftuna Nabijan qizi Student of Tashkent University of Information Technology named after Muhammad al-Khwarizmi
  • Sultanov Kamoliddin Muxiddin o’g’li Student of Tashkent University of Information Technology named after Muhammad al-Khwarizmi
  • Beknazarova Saida Safibullayevna Professor, Tashkent University of Information Technology named after Muhammad al-Khwarizmi

DOI:

https://doi.org/10.17605/OSF.IO/ZW4A8

Abstract

These days, customers are becoming digital savvy; this can emerge as the biggest growth opportunity for the companies. They can now create customer experiences far more influential than ever before. Practitioners are moving to AI for enhanced customer experiences in the age of the fourth industrial revolution. AI provides multiple offerings, including automation, personalization, future prediction, recommendation, etc.

The two words are often used interchangeably when discussing how to create tailored experiences.  The goal of personalization and customization is the same: to create a unique, tailored experience for shoppers. But, there is a slight difference

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References

Bharat Poddar, Yogesh Mishra. Transform Customer Journeys at Scale—and Transform Your Business. The Boston Consulting Group (BCG) (2019). Accessed from https://www.bcg.com/enin/publications/2019/transform-customer-journeys-scale-transform-business

V. Kumar, Bharath Rajan, Rajkumar Venkatesan, and Jim Lecinski. “Understanding the role of artificial intelligence in personalized engagement marketing.” California Management Review 61, no. 4 (2019): 135-155.

Chung Hun Lee and David A. Cranage. “Personalisation–privacy paradox: The effects of personalisation and privacy assurance on customer responses to travel Web sites.” Tourism Management 32, no. 5 (2011): 987-994.

https://www.threekit.com/blog/10-key-benefits-of-product-customization-in-ecommerce

https://medium.com/geekculture/the-future-of-ecommerce-personalization-is-ai-c3c00085e705

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Published

2022-06-06

Issue

Vol. 7 No. 3 (2022): Volume 7 Issue 3

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

[1]
“AI SYSTEMS FOR SEAMLESS CUSTOMER EXPERIENCE AND PRODUCT CUSTOMIZATION IN E-COMMERCE”, IEJRD - International Multidisciplinary Journal, vol. 7, no. 3, p. 3, Jun. 2022, doi: 10.17605/OSF.IO/ZW4A8.

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