A Survey On Development of an E-Commerce Sales Chatbot

Authors

  • Dr. S. T. Shirkande  Department of Computer Engineering, SPVP’s S.B. Patil College of Engineering, Indapur, Maharashtra, India
  • Shweta B. Ghule  Department of Computer Engineering, SPVP’s S.B. Patil College of Engineering, Indapur, Maharashtra, India
  • Snehal S. Patil  Department of Computer Engineering, SPVP’s S.B. Patil College of Engineering, Indapur, Maharashtra, India
  • Sakshi S. Sawant  Department of Computer Engineering, SPVP’s S.B. Patil College of Engineering, Indapur, Maharashtra, India

Keywords:

e-commerce, natural language processing, neural network, challenges, customers, Chabot, support, face-to-face contact.

Abstract

This paper revolves around the development of an e-commerce sales chatbot, aiming to provide effective customer support and increase sales. Utilizing machine learning for natural languageunderstanding, the system adopts a modular chatbot framework. Key compounds include a web-based natural language training platform, a microservice for text classification and entity extraction, and a responsive framework for routing user requests to specialized controllers for processing and generating responses. This innovative approach seeks to bridge the gap between e-commerce and AI, striving to create a chatbot that offers a human-like sales experience by understanding context and intent.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-10-30

Issue

Volume 9, Issue 10, September-October-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. S. T. Shirkande, Shweta B. Ghule, Snehal S. Patil, Sakshi S. Sawant, " A Survey On Development of an E-Commerce Sales Chatbot" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 10, pp.139-143, September-October-2023.