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VOL. 12, ISSUE 2 (2026)
A study on user experience towards smart search self-service systems in E-Commerce
Authors
V Sowmiya, T Merlin Usha
Abstract
Electronic commerce has changed the way consumers search for and
purchase products through digital platforms. Smart search self-service systems
play an important role in enhancing user experience by enabling faster,
accurate, and personalized product searches using technologies such as
artificial intelligence and data analytics. This study analyzes user experience
towards smart search self-service systems in e-commerce by examining factors
such as search accuracy, speed, personalization effectiveness, and user
satisfaction. Primary data were collected through structured questionnaires,
supported by secondary data from journals and online sources. The study
identifies common challenges faced by users, including irrelevant search
results and difficulty in finding exact products. The findings suggest that
improving search functionality and user-centered design can enhance customer
satisfaction and overall effectiveness of e-commerce platforms.
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Pages:12-15
How to cite this article:
V Sowmiya, T Merlin Usha "A study on user experience towards smart search self-service systems in E-Commerce". International Journal of Commerce and Management Research, Vol 12, Issue 2, 2026, Pages 12-15
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