Ai Based Shopping System for Price Negotiation Using Chatbot System and Artificial Intelligence

Authors

  • Thanuja A  Professor, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India
  • Lejin Raj R L  B.Tech students, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India
  • Meenakshi P S  B.Tech students, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India
  • Varsha Subair  B.Tech students, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India

Keywords:

Online Shopping, Artificial Intelligence, Chatbot

Abstract

Today life of humans are fully engaged in their busy schedule. With their busy days, people are in need of a system that brings the product at their door step in order to simple their purchase. Thus e- commerce websites has been developed and act as an emerging technique in this current world. People make their purchasing after the introduction of e commerce websites in an efficient manner. But while making an online purchase the quality and price of the product is very important. Even though things we want are getting easier, all people are very conscious in quality and rate of the particular product. Having a best price which is not a fixed one will increase the payoff among sellers and buyers. Thus an automated agent for negotiation has been designed in order to maintain a flexible and considerable price instead of fixed price. This Automated agent will help the organization or shops to have their selling in online fully automated. It also helps the customers to negotiate with the AI Bot based on price of every product. Once after the negotiation of price, the link for payment will be sent to mail in order to make online credit card payments. Finally successful payment can be intimated through mail.

References

  1. A. Augello, G. Pilato, A. Machi, and S. Gaglio, “An Approach to Enhance Chatbot Semantic Power and Maintainability: ExperincesWithin The FRASI Project,” Proc. of 2012 IEEE Sixth International Conference on Semantic Computing, 2012, pp. 186-193, doi:10.1109/ICSC.2012.26.
  2. H. Al-Zubaide and A. A. Issa, “OntBot: Ontology Based Chatbot,” Proc. IEEE of 2011 Fourth International Symposium on Innovation in Information & Communication Technology (ISIICT), 2011, pp. 7-12, doi:10.1109/ISIICT.2011.6149594.
  3. Gambino O. Augello A. Caronia A. Pilato G. Pirrone R. Gaglio S., Virtual conversation with a real talking head. Proceedings of the Conference on “Human System Interactions”, 25-27 May 2008, Kraow, Poland, pp. 263-268.
  4. J. P. McIntire, L. K. McIntire, and P. R. Havig, “Methods for Chatbot Detection in Distributed Text-Based Communications,” Proc. IEEE of 2010 International Symposium on Collaborative Technologies and Systems (CTS), 2010, pp. 463-472, doi:10.1109/CTS.2010.5478478.
  5. Y. Wu, G. Wang, W. Li, and Z. Li, “Automatic Chatbot Knowledge Acquisition from Online Forum via Rough Set and Ensemble Learning,” Proc. IEEE of 2008 IFIP International Conference on Network and Parallel Computing, 2008, pp. 242-246, doi:10.1109/NPC.2008.24.
  6. S. Ghose and J. J. Barua, “Toward The Implementation of A Topic Specific Dialogue Based Natural Language Chatbot As An Undergraduate Advisor,” Proc. IEEE of 2013 International Conference on Informatics, Electronics & Vision (ICIEV), 2013, pp. 1-5, doi:10.1109/ICIEV.2013.6572650.

Downloads

Published

2019-06-07

Issue

Section

Research Articles

How to Cite

[1]
Thanuja A, Lejin Raj R L, Meenakshi P S, Varsha Subair, " Ai Based Shopping System for Price Negotiation Using Chatbot System and Artificial Intelligence, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 9, pp.113-119, May-2019.