AI-powered shelf stock monitoring system using computer vision and real-time alerts across multi-AZ AWS infrastructure. Camera feeds flow through Python-based AI modules with object detection models, then to Spring Boot backends via API Gateway, triggering alerts and updating a primary-standby database pair with caching. High-availability design spans two availability zones with replicated AI and application tiers, fronted by ALB, WAF, and CDN serving an Angular dashboard to operators. This architecture demonstrates best practices for fault tolerance, horizontal scaling, and separation of concerns in production retail systems. Fork and customize this diagram on Diagrams.so to adapt subnets, add monitoring, or integrate with your inventory management platform.