E-commerce Shopping System to Improve Marketing Operations Using Artificial Intelligence

Abstract

Shopping in grocery stores, department stores, and shopping malls has become an integral component of modern city life. On holidays and busy weekend days, shoppers flood stores and public areas. Customers must search for the things they want and wait in line to pay their bills, both of which are inconvenient and taxing. In this paper, we provide brand-new, comprehensive Artificial Intelligence (AI) SHOPPING SOLUTIONS that would streamline and improve marketing operations. Selecting an AI-enhanced e-commerce shopping system has several benefits that improve consumer satisfaction and operational efficiency. Adoption of AI technology may result in better business results, greater conversion rates, and happier customers. Segmenting clients according to their tastes, behavior, and demographics may be done using AI. By developing customized marketing strategies, this method seeks to increase the potency of sales and advertising. Improving total client happiness is the main objective. The goal of the AI-powered e-commerce shopping system is to provide a smooth, engaging, and customized experience that fosters consumer loyalty and enhances brand perception. The COVID-19 crisis has highlighted the need to put people's health and social isolation first. Now is the time to take advantage of this brand-new technology, which makes it possible for consumers to receive the goods they need quickly and easily, either by going to a local store or by having them delivered by self-cleaning drones. The result shows that the investment in AI shopping systems is 2000 million USD.