Product Negotiation in E-Commerce Website using Chatbot

Abstract

Real-world transactions always include some amount of negotiation. The only goal of negotiations is to engage in bartering. Every important business deal, including buying food from a street vendor, requires it. This suggestion will be used for an e-commerce chatbot to assist in bargaining the cost of the merchandise. Consumer feedback and occasional reviews are the two most common techniques used to track customer satisfaction. The sellers found it difficult and practically impossible to conclude any bargaining process. A chatbot system is necessary to improve client satisfaction and negotiating effectiveness. In this research work, an intelligent chatbot system was used to generate responses based on the user's purpose. Here, the main objective is to increase the effectiveness of online shopping. Therefore, to make purchasing easier, chatbots are used to communicate with sellers and negotiate prices. The chatbots will be preprogrammed with the possible questionnaire that could be possibly asked by a customer. Based on the intents that are expressed by the customer, the bot can classify them into entities. This approach includes Natural Language Processing (NLP) for the better understanding of chatbot framework.