Abstract
Chatbots have been used in many fields ranging from education to healthcare and are also used in e-commerce settings. This research aims at developing a web-based chatbot called Hebron for the Covenant University Community Mall. The chatbot is developed using Python and React.js as the programming languages and MySQL (Structured Query Language) server as the database to give a structure to the e-commerce datasets and Admin Portal process. The e-commerce chatbot application for Covenant University Shopping Mall (CUSM) seeks to provide an easy, smart, and comfortable shopping experience for the Covenant University Community.
Highlights
Covenant University Shopping Mall (CUSM) is a shop where members of the Covenant University Community can shop for various items ranging from groceries to other essentials
Given the limited AI capabilities of these software programs, we propose implementing the e-commerce datasets with machine learning techniques and database structures during the pilot phase on smart shopping using the CUSM chatbot as a case study. e CUSM chatbot will be implemented using React.js for the chatbot UI combined with Python opensource libraries where Python functions as a DBMS for the messaging backend. e backend consists of the machine learning section and database layers, which work together to create more content and structure for Hebron. ese methods stand a better chance of overcoming the earlier identified weaknesses of chatbots’ limited AI capabilities
Concerning this section, the various modules of the CUSM chatbot web application were presented. It discussed the ways in which the modules of the web application were examined. e chatbot system was implemented based on the design outlined in Section 3, and the results of the chatbot implementation presented and discussed
Summary
Covenant University Shopping Mall (CUSM) is a shop where members of the Covenant University Community can shop for various items ranging from groceries to other essentials. Is work attempts to overcome this ongoing challenge by creating a chatbot for Covenant University Shopping Mall. E chatbot’s purpose is to have a smart, accurate, and real-time conversation with the students In this way, students can chat with the bot to inquire about particular items they seek to purchase and pay online for the items before visiting the mall. Is work will alleviate the discomfort currently existing when Covenant University members travel down to CUSM to source for out-of-stock items or unavailable items. E aim of this work is the design and implementation of a chatbot for Covenant University Shopping Mall. Is work will help create smart comfort and an efficient online presence for Covenant University students using a technology-oriented method, in this case, a chatbot for the website of Covenant University Shopping Mall.
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