Design and Artificial Intelligence Integration in E-commerce Systems: A Case Study of a Children’s Fashion Platform

Abstract

In the context of rapid digital transformation, e-commerce has become a critical driver of modern business innovation, with increasing emphasis on intelligent and user-centered systems. However, existing studies often address system architecture, user experience, and Artificial Intelligence (AI) applications in isolation, with limited research on their integration within a unified e-commerce framework.

This study aims to design, develop, and evaluate an AI-integrated e-commerce system for children’s fashion retail. Adopting a Design Science Research approach, the study implements a multi-tier architecture based on a client-server model, incorporating frontend, backend, database, and AI modules. The system integrates AI functionalities, including chatbot support and automated product content generation, to enhance user interaction and operational efficiency.

The results demonstrate that the system operates reliably, meets core functional requirements, and improves user experience through enhanced interaction and responsiveness. The integration of AI contributes to both customer support and administrative efficiency, highlighting its practical value in real-world applications.

This study contributes by proposing an integrated architectural model that combines web technologies and AI within a scalable e-commerce system. The findings provide both theoretical insights and practical implications for the development of intelligent, user-centered e-commerce platforms, particularly for small and medium-sized enterprises in the digital era.