About This Architecture

Layered stock management architecture integrating AI-driven image analysis, real-time alerts, and multi-tier data persistence. User requests flow through WAF and CDN to a load-balanced UI dashboard, then via API Gateway to the Application Layer where Stock Management Service orchestrates business rules, data processing, and alert workflows. AI Services Layer handles product image analysis, model serving, and embedding generation using a Model Registry, while the Data Layer persists product catalogs, alerts, operational history, and images across relational and object storage. This architecture demonstrates enterprise-grade separation of concerns, enabling independent scaling of compute-intensive AI workloads and high-throughput transactional services. Fork and customize this diagram on Diagrams.so to adapt tier responsibilities, add authentication layers, or integrate additional ML pipelines.

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How should I architect a stock management system that combines real-time alerts, AI-powered image analysis, and multi-tier data persistence?

This diagram shows a layered approach: the Presentation Layer handles user access via WAF and CDN; the Application Layer orchestrates Stock Management Service, Business Rules Engine, and Alert Manager; the AI Services Layer processes product images through Image Analysis Service and Model Serving; and the Data Layer persists to Products DB, Alerts DB, Operations History, and Object Storage. This s