Conversational agent acting as a shopping assistant for e-commerce sites

Abstract

E-commerce has been gaining momentum drastically over past few years with new trends in technology. The key entity of any e-commerce business is to provide the customer with maximum benefits. Due to this reason using sophisticated technology in ecommerce aspects were seen vividly. With the rapid improvement and usage of messaging apps 2015 most of the business entities where interested in shifting their business deals through most of the messaging apps. The concept of messaging apps where further developed in to a phase of using an embedded conversational interface which allows the customer and the business to deal peacefully. E commerce sites provide a key word search along with a menu driven navigation. Users have come across issues in choosing the exact item needed with the prevailing system. It is reported that about 80% of web shoppers have left the e-commerce sites due to not finding what they needed. To address this problem, the concept of Natural Language interface acting as a shopping assistant was developed. This will build a conversation with the user forwarding a series of questions regarding the goods the user wishes to purchase. This system is mainly developed using AIML scripting, java and prolog.