Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)

Third International Conference on Recent Advances in Computing Sciences (RACS 2025)

📍Phagwara, India🗓️ 25-26 April 2025
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AI Driven Shopping Assistant for Enhancing Personalization and Customer Engagement in E Commerce

Authors
Aditi Singh1, Ranjana Singh1, Rani Lathwal1, *
1ASET, Amity University, Noida, India
*Corresponding author.
Corresponding Author
Rani Lathwal
Available Online 7 September 2026.
DOI
10.2991/978-94-6239-768-2_6How to use a DOI?
Keywords
AI-based models; virtual shopping assistant; fashion e-commerce; prompt engineering; personalized recommendation
Abstract

The growing development of fashion e-commerce has presented challenges related to product discovery, customer engagement and personalized recommendations. This paper presents an AI-Driven Shopping Assistant that will use Natural Language Processing (NLP) and Recommendation Systems which will make the shopping experience more personalized. The Recommendation Engine uses vector similarity search algorithms and filters based on user profiling for providing highly personalized product recommendations. This assistant reduces the time-taking task of manual scrolling and filtering of products along with human-like interaction, which makes the shopping experience effortless and joyful. This prototype will facilitate human-like interactions and personalized recommendations, which will increase customer satisfaction and conversion rates.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

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Volume Title
Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
Series
Advances in Intelligent Systems Research
Publication Date
7 September 2026
ISBN
978-94-6239-768-2
ISSN
1951-6851
DOI
10.2991/978-94-6239-768-2_6How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

Cite this article

risenwbib
TY  - CONF
AU  - Aditi Singh
AU  - Ranjana Singh
AU  - Rani Lathwal
PY  - 2026
DA  - 2026/09/07
TI  - AI Driven Shopping Assistant for Enhancing Personalization and Customer Engagement in E Commerce
BT  - Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
PB  - Atlantis Press
SP  - 46
EP  - 55
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-768-2_6
DO  - 10.2991/978-94-6239-768-2_6
ID  - Singh2026
ER  -