Authors :
B. Sri Ramya; M. Sasi Kiran; P. Veera Venkata Nagendra; K. Srinivas; P. Sai Sri Harsha
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/5n8brex
Scribd :
https://tinyurl.com/mrk7ahdz
DOI :
https://doi.org/10.38124/ijisrt/25apr754
Google Scholar
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Abstract :
At present, although several online shopping systems exist, they provide little to no support to users in the all-
important product selection phase and a large majority of the systems, support the user post purchase i.e. in post-purchase
phases. Information vacuum is created as a result of such disconnect where, end-user is expect to navigate through products
and prices across various e-commerce endpoints with limited or no reference methods. To overcome this a system has been
developed which we call the “Conversational AI Assistant for Online Shopping”, functioning as an intellectual assistant
during the path of the user from shopping. Because this app isn’t specific to a platform, the assistant shows instances of a
number of e-commerce sites, allowing users to compare prices across different platforms to make informed buying choices.
In addition to this, it provides a faster product search, assists the users in correctly categorizing and resolving their queries
that saves their precious time and enhances their decision making capacity. It directly answers to the users’ text messages
or queries in the chat support. The app is suitable for different browsers and networks making it a great platform to help
users while making an online shop.
Keywords :
Product Recommendation Systems, Cross-platform Price Comparison, Intelligent Shopping Assistant, Interactive Chatbots, Personalized User Experience.
References :
- Prof. Monika Kanojiya, Shivam Chatoni, Neville Gosalia, Mansi Surve E-Commerce Chatbot( Online Shopping App), 2021
- Siddharth Gupta, Deep Borkar, Chevelyn De Mello, Saurabh Patil An E-Commerce Website Based Chatbot, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (2) , 2015
- Manik Rakhra,Gurram Gopinadh,Narasimha Sai Addepalli,Gurasis Singh,Shaik Aliraja, Vennapusa Siva Ganeshwar Reddy,Muthumula Navaneeswar Reddy E-Commerce Assistance with a Smart Chatbot using Artificial Intelligence 2nd International Conference on Intelligent Engineering and Management (ICIEM)
At present, although several online shopping systems exist, they provide little to no support to users in the all-
important product selection phase and a large majority of the systems, support the user post purchase i.e. in post-purchase
phases. Information vacuum is created as a result of such disconnect where, end-user is expect to navigate through products
and prices across various e-commerce endpoints with limited or no reference methods. To overcome this a system has been
developed which we call the “Conversational AI Assistant for Online Shopping”, functioning as an intellectual assistant
during the path of the user from shopping. Because this app isn’t specific to a platform, the assistant shows instances of a
number of e-commerce sites, allowing users to compare prices across different platforms to make informed buying choices.
In addition to this, it provides a faster product search, assists the users in correctly categorizing and resolving their queries
that saves their precious time and enhances their decision making capacity. It directly answers to the users’ text messages
or queries in the chat support. The app is suitable for different browsers and networks making it a great platform to help
users while making an online shop.
Keywords :
Product Recommendation Systems, Cross-platform Price Comparison, Intelligent Shopping Assistant, Interactive Chatbots, Personalized User Experience.