Abstract
Artificial Intelligence (AI) marketing has emerged as a transformative approach in e-commerce, reshaping how businesses engage, acquire, and retain customers. This review highlights the critical role of computer engineering in enabling AI-driven marketing systems. Key engineering aspects, including high-performance data architectures, machine learning model deployment, cloud computing integration, and database engineering, underpin effective real-time analytics and personalization. Algorithm optimization ensures efficient and accurate predictive models, while web and application development facilitate adaptive and responsive user interfaces. Embedded systems and IoT integration expand AI marketing capabilities beyond digital platforms, enabling seamless omnichannel experiences. Cybersecurity frameworks safeguard customer data, and human-computer interaction (HCI) principles enhance usability and engagement. Performance evaluation metrics and automation tools, such as chatbots, further optimize customer interactions and operational efficiency. Ethical and responsible computing practices ensure transparency, fairness, and compliance with data privacy standards. By synthesizing these components, the study demonstrates how computer engineering innovations drive intelligent, secure, and personalized marketing strategies, ultimately improving conversion rates and customer satisfaction. The integration of AI with advanced engineering solutions is positioned to define the future of e-commerce, promoting scalable, ethical, and highly adaptive marketing systems.
Key Words: AI Marketing, E-Commerce, Computer Engineering, Machine Learning, Data Architecture, IoT Integration, Cybersecurity, Human-Computer Interaction
Citation: Pattanayak M et al., (2025) AI Marketing Impact on E-Commerce: Engineering Perspective. Journal of Current Engineering and Allied Science. 8(3):26-32