About This Architecture

RetailInventa 360 is a multi-tier AWS architecture combining FastAPI backend, ML-driven demand prediction, and NLP chat assistance across three availability zones. Shop owners and employees interact via Flutter mobile app, which routes requests to Python FastAPI on t3.medium instances in the backend subnet, orchestrating MySQL database operations, AI model serving, and analytics dashboards. The system demonstrates high-availability patterns with MySQL primary-standby replication across separate data subnets, isolated ML and reporting workloads in dedicated subnets, and CloudWatch monitoring throughout. This architecture solves inventory visibility, demand forecasting, and customer support challenges while maintaining fault isolation and cost efficiency through right-sized EC2 instances. Fork this diagram on Diagrams.so to customize VPC CIDR blocks, add auto-scaling policies, or integrate additional AWS services like RDS Proxy or Lambda for event-driven workflows.

People also ask

How do you design a scalable AWS retail inventory system with machine learning demand prediction and NLP chat support?

RetailInventa 360 uses a VPC spanning two availability zones with isolated subnets for FastAPI backend, ML models, and analytics. MySQL primary-standby replication ensures data durability, while CloudWatch provides operational visibility. This architecture balances cost efficiency with fault tolerance for retail operations.

RetailInventa 360 System Architecture

AutoadvancedAWSVPCFastAPIMySQLMachine LearningRetail
Domain: Cloud AwsAudience: AWS solutions architects designing retail inventory management systems
2 views0 favoritesPublic

Created by

July 17, 2026

Updated

July 26, 2026 at 12:34 AM

Type

architecture

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