Prototyping of Machine Learning at Traditional Market as Option for Sales and Purchasing Transaction

Abstract

Traditional market is an important part of the regional economy. Sales and purchasing transaction in traditional markets in any country is closely related to transactions which are done or executed in physical places. These days, along with technology enhancement, most things may be transformed into virtual reality. Artificial Intelligence technology in the application of machine learning is a potential that can make a significant contribution in various aspects, including the sales system. This study focuses on designing the prototyping of a machine learning application that is purposely used for sales and purchase transactions in the traditional market. This prototyping provides an alternative to traditional market traders who are focused on selling their goods at physical places. This study builds an application that provides a virtual platform for sales and purchase transactions. This study uses Convolutional Neural Networks (CNN) as one of the categories in Deep Learning which is part of Machine Learning. This study finds that the prototyping of machine learning applications for sales and purchase transactions at traditional markets might be a proper and beneficial solution for both traders and customers.