Proposal of Chat Based Automated System for Online Shopping
American Journal of Neural Networks and Applications
Volume 3, Issue 1, February 2017, Pages: 1-4
Received: Oct. 26, 2016; Accepted: Jan. 25, 2017; Published: Mar. 1, 2017
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Authors
Hemin Joshi, Department of Computer Engineering, University of Mumbai, Mumbai, India
Vidhi Agarwal, Department of Computer Engineering, University of Mumbai, Mumbai, India
Amol Ghodke, Department of Computer Engineering, University of Mumbai, Mumbai, India
Dolly Gupta, Department of Computer Engineering, University of Mumbai, Mumbai, India
Sharmila Gaikwad, Department of Computer Engineering, University of Mumbai, Mumbai, India
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Abstract
Chatbots have the potential to save any individual’s time, hassle, and tedium by automating mundane tasks. The idea about this application is that it will help the user to interact with the Ecommerce engine through an Intelligent Assistant. The application offers the exhilarating experience of placing orders on the Ecommerce site according to his/her needs and viewing the previously placed orders anytime the user wants. CartBot will turn into a customized personal assistant that knows your online likes and preferences and serves as a magical tool to deliver the products on time and in the most convenient manner. An account has to be linked to the device, thus allowing you to back up your history in case of device malfunction or any other unfortunate activity. This paper is based on the research work that has been done for the project.
Keywords
Chatbots, Artificial Intelligence, Ecommerce, Intelligent Agent, Human-Computer Interaction, Dialogue Management
To cite this article
Hemin Joshi, Vidhi Agarwal, Amol Ghodke, Dolly Gupta, Sharmila Gaikwad, Proposal of Chat Based Automated System for Online Shopping, American Journal of Neural Networks and Applications. Vol. 3, No. 1, 2017, pp. 1-4. doi: 10.11648/j.ajnna.20170301.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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