Designing Scalable AI-Enabled Commerce Platforms through Semantic Search and Microservice Orchestration: An End-to-End Intelligent Architecture for Search, Trust, and Personalisation

Abstract

The present study introduces an architecturally based methodology of designing scalable AI-powered commerce systems integrating customer loyalty analytics and fraud risk measurement to sustain trust-based personalisation. The current e-commerce landscape necessitates real-time and adaptive decision-making, but most current platforms continue to view personalisation and fraud detection as separate operations, which limits their capability to balance customers' experience with platform reliability. Based on a structured customer analytics dataset that reflects customer engagement, loyalty indicators and fraud labels, the study identifies how behavioural intelligence can be converted into system-wide actionable intelligence instead of individual predictive models. The study takes the design-based approach with an emphasis on analytical-architectural mapping, showing the implementation of the loyalty assessment, fraud risk assessment, and personalisation decision support as coordinated microservices. The results indicate that loyalty and fraud risk are mostly independent aspects of customer behaviour and indicate the necessity of a distinct but combined assessment of customer value and trust. The segmentation and analysis of behaviour also show that high engagement or loyalty does not necessarily mean low risk, another reason why trust-sensitive personalisation logic is important. The end-to-end architecture proposed has a focus on semantic interpretation of behavioural features, modular service design and orchestration mechanisms that allow scalability, flexibility and consistent decision making in the face of data growth and behavioural diversity. The study provides an architectural insight to add to the deployment of credible, scalable, and trustworthy AI-based commerce by unifying loyalty and fraud analytics on the same intelligent platform.