Year: 2025
Type: article
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.
Authors: B. Sri Ramya, M. Sasi Kiran, P. Veera Venkata Nagendra, K. Srinivas, P. Sai Sri Harsha
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4409703502