CHATBOT DESIGN USING ARTIFICIAL INTELLIGENCE WITH NATURAL LANGUAGE PROCESSING TO INCREASE CUSTOMER SATISFACTION AT MSME LEVEL
Keywords:
Artificial Intelligence, Chatbot, Natural Language Processing, Customer SatisfactionAbstract
Customer satisfaction is a must, that has to be given by the merchant to the buyer in every transaction, therefore customer satisfaction must be maintained to retain customers in order to continue to gain their trust and loyalty to the goods and services offered. At this time, customer service is always used as a benchmark for customer satisfaction to understand and get information about the products and services offered by the merchant. However, there is a problem where merchants find it difficult to be able to present information about the products and services offer to the customer, for example if the merchant needs to respond and serve every message that comes in from various different platforms, the merchant will find it difficult and overwhelmed the transaction process that currently happens. This of course will result in customers trust and loyalty and reduce customer satisfaction with the services provided by the merchant. Therefore, comes up the idea of designing a chatbot system using artificial intelligence with natural language processing method that will be used to increase customer satisfaction and simplify deployment process usiing Application Programming Interface integration for the merchant.
Downloads
References
KUSUMA, A.D., USE OF TELEGRAM BOT ON TELEGRAM MESSENGER WITH WEBHOOKS METHOD FOR INFRASTRUCTURE LENDING SYSTEM AT UIN MAULANA MALIK IBRAHIM MALANG. FACULTY OF SCIENCE AND TECHNOLOGY, 1-72. 2019.
Cooling, J.E. and T.S. Hughes. The emergence of rapid prototyping as a real-time software development tool. IET.
Rohman, F.F. and A. Fauzijah, Design an expert system application to determine the types of developmental disorders in children. Media informatika, 2008. 6(1).DOI: https://doi.org/10.20885/informatika.vol6.iss1.art1.
Sengodan, V.C., N. Thiagarajan, and I.P. Raajendiren, Evaluating the efficacy of platelet rich plasma injection for the treatment of chronic plantar fasciitis. Journal of Natural Science, Biology and Medicine, 2020. 11(2): p. 135.
Kobusińska, A. and C.-H. Hsu, Towards increasing reliability of clouds environments with restful web services. Future Generation Computer Systems, 2018. 87: p. 502-513.DOI: https://doi.org/10.1016/j.future.2017.10.050.
Sengupta, P., A. Sharma, and N. Das, Is there any benefit of integrating computer-assisted learning with conventional teaching format in pharmacology to demonstrate the effects of different drugs on mean arterial blood pressure in an anesthetized dog?: A comparative study. Journal of natural science, biology, and medicine, 2017. 8(2): p. 181.
Tapsai, C., P. Meesad, and H. Unger, An Overview on the development of Thai natural language processing. Information Technology Journal, 2019. 15(2): p. 45-52.
Zukerman, I. and D. Litman, Natural language processing and user modeling: Synergies and limitations. User modeling and user-adapted interaction, 2001. 11(1): p. 129-158.DOI: https://doi.org/10.1023/A:1011174108613.
Suryarao, P.S., et al., Comparison between oral health status of institutionalised and home stay disabled children in western Maharashtra region. Journal of Natural Science, Biology and Medicine, 2020. 11(2): p. 179.
Perevodchikov, E., NATURAL LANGUAGE PROCESSING AND CHAT BOT IMPLEMENTATION. Technology, 5-40. 2019.
Susanto, A.D., et al., The prevalence and related risk factors of obstructive sleep apnea in heart failure patients at the indonesian referral hospital for respiratory diseases. Journal of Natural Science, Biology and Medicine, 2020. 11(2): p. 164.
Wallace, R., The elements of AIML style. Alice AI Foundation, 2003. 139.
Patil, H.V. and V.C. Patil, Comparative study of procalcitonin and C-reactive protein in patients with sepsis. Journal of Natural Science, Biology and Medicine, 2020. 11(2): p. 93.
Nassar, H., G. Moshi, and H. Mitomo, THE IMPACT OF PSYCHOLOGICAL BARRIERS IN INFLUENCING CUSTOMERS'DECISIONS IN THE TELECOMMUNICATION SECTOR.
International Journal of Managing Public Sector Information and Communication Technologies, 2013. 4(4): p. 1.
Rahmat, R. and H. Haryono, Analysis of the Effect of Servqual, Satisfaction and Trust on Customer Loyalty of Internet Banking Service Users by Using the Structural Equation Modeling Method (Case Study: Bank “X”). ITS Jurnal Journal of Science and Arts, 2013. 2(2): p. D153-D158.
You, S.-H., M.-Y. Yoon, and J.-S. Moon, Antioxidant and Anti-inflammatory Activity Study of Fulvic Acid. Journal of Natural Science, Biology and Medicine, 2021. 12(3).
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Author
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
