Asian Journal of Research in Computer Science

The research in the current paper seeks to discuss artificial intelligence (AI) in e-commerce with a viewpoint of its effects on the management and the customers. In the light of the current advancements in technology applied in organizations, it is important for companies particularly e-commerce firms to understand AI value for improvement of their business processes in order to establish competitive advantages. Altogether, the present study employs a qualitative method, where data were collected from ten participants in the industry through interviews supported by quantitative analysis to tests associations or trends. It can be concluded that concerning the level of the work organization and effectiveness, AI enhances business processes by reducing the number of routine tasks, increasing inventory control, and providing real-time information processing at the rate of 4.4 out of 5. Moreover, customer experience is improved by narrow casted marketing and effective chat bots, where the mean rating is 4.5. In fact, the correlation between operational efficiency and customer engagement is very high; it stands at 0.75, which means that better backend management directly lead to better customer experiences. However, the implementation costs remain high, and privacy issues also contribute to the hindrances of this flow, which makes the rate of adoption not very enthusiastic. It is crucial to focus on deepening the work in the sphere of creating more efficient AI solutions while keeping the attendees in the strongest constraints of data protection rules possible. In conclusion, this paper reveals the trends of AI within the e-commerce sector as laying the foundation for the effective implementation of AI solutions while providing specific recommendations to managers as to how they can unlock the advantages of various AI approaches for enhancing the efficiency of firms’ operations and strengthening consumers’ engagement in view of the continuously rising competition.