RetailInventa 360 is a four-phase sequence architecture connecting shop owners via Flutter mobile app to a Python FastAPI backend, MySQL persistence layer, ML demand prediction engine, and NLP chat assistant. User requests flow from the mobile app through FastAPI to the database for persistence, then branch to AI services for predictive analytics and conversational support. The system demonstrates a modern microservice-oriented pattern where API orchestration decouples frontend interactions from specialized backend services like ML inference and NLP processing. This architecture solves the challenge of integrating real-time inventory management with intelligent forecasting and customer support in a single cohesive platform. Fork this diagram on Diagrams.so to customize service endpoints, add authentication layers, or adapt it for your retail tech stack.