Advance Sustainable Science, Engineering and Technology (ASSET)
Vol. 6 No. 3 (2024): May - July

Implementation Artificial Intelligence with Natural Language Processing Method to Improve Performance of Digital Product Sales Service

Putri Ariatna Alia (Universitas Anwar Medika)
Dian Kartika Sari (Politeknik Negeri Jember)
Nur Azis (Universitas Duta Bangsa)
Bernadus Gunawan Sudarsono (Informatic System, Bung Karno University, Indonesia)
Purwo Agus Sucipto (Informatic System, Universitas Jayabaya)



Article Info

Publish Date
11 Jun 2024

Abstract

Improving the performance of digital product sales services is the main focus of the company's attention in the face of increasingly fierce competition in the online market. In order to optimize these services, Artificial Intelligence (AI) technology with the Natural Language Processing (NLP) method is an attractive option. This research aims to find out how the application of AI with Natural Language Processing (NLP) can contribute to improving the performance of digital product sales services. The methods used in this research include collecting data on customer interactions via WhatsApp that have implemented artificial intelligence with the Natural Language Processing (NLP) method. The data is then analyzed using Natural Language Processing (NLP) techniques to understand the needs, preferences, and problems faced by customers. Natural Language Processing (NLP) assists the chatbot in correcting incoming questions if they do not match the database on the question. Differences that can be helped by Natural Language Processing (NLP) if there is inappropriate capitalization, excessive conjunctions. The results show that the application of AI with Natural Language Processing (NLP), can enable companies to be more responsive to customer needs and improve overall customer satisfaction. With in-depth analysis of customers' natural language data, companies can provide more relevant services and empower sales teams to provide faster and more accurate responses. This can be seen from the quality of service results which have a point of 4.1, this value indicates a good response from customers so that the system is considered to have improved sales services by buyers.

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Journal Info

Abbrev

asset

Publisher

Subject

Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Description

Advance Sustainable Science, Engineering and Technology (ASSET) is a peer-reviewed open-access international scientific journal dedicated to the latest advancements in sciences, applied sciences and engineering, as well as relating sustainable technology. This journal aims to provide a platform for ...