Research and Development of an E-commerce with Sales Chatbot

Abstract

E-commerce is the process of conducting commerce through computer networks. An individual sitting in front of a computer may use all of the internet's resources to purchase or sell things. Unlike conventional commerce, which is carried out physically with a person's effort to travel and obtain items, e- commerce has made it simpler for humans to eliminate physical labor and save time. This online business management system has also assisted retailers in saving money on upfront costs such as storefronts and staff. The objective is to design an advanced e- commerce system with a smart chatbot to provide a user-friendly experience for consumers. Consumers will save time with the quick accessibility feature of the chatbots in the system. With the help of natural language processing, we have developed a realtime chatbot with smart features. On this smart e-commerce website, we have tried to solve some of the problems with the existing e-commerce platform in our country. The system operates on the Django platform, which is built on Python. The system's architecture is created by using Django's Model-View- Template. HTML, CSS, JavaScript, and bootstrap are utilized for the front end and validation. For the backend, we have used an SQLite database. Clients, as it has been discovered, usually have a difficult time shopping on e-commerce because no support assistant can provide immediate feedback. The system consists of several sections, including the registration system, the login system, the search system, the order system, the add product system, the view product system, the order received system, and an interface to communicate with the bot. If users have any queries, they may contact the admin panel via the contact us page. Overall, the system is quick and reliable. A user-friendly interface boosts the purchasing experience for consumers across the country who have access to the internet. The system's accuracy is high enough for satisfying results and thus successfully supports people in making better judgments while being low-cost and user-friendly in design.