Microservices-Based Retail POS System with AI Sales Forecasting

Create a retail Point of Sale (POS) system with separate services for inventory, sales, customers, and billing. Integrate AI to forecast sales and optimize stock management based on historical trends.

Develop microservices for inventory, sales, customers, and billing.

Implement inter-service communication using REST APIs.

Containerize services with Docker and deploy via Kubernetes.

Preprocess historical sales data and train ML models for sales prediction.

Integrate AI predictions into inventory and sales microservices.

Handle secure authentication and role-based access.

Implement service discovery and API Gateway for routing.

Test each service and monitor overall system performance.

Implement logging, error handling, and analytics dashboards.

Document microservices, AI model integration, and deployment workflow.