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FashionPOS — AI-Powered Point of Sale

Microservices point of sale system for fashion retail with inventory, sales, staff roles, analytics and an AI agent system for business reports.

FashionPOS — AI-Powered Point of Sale — screenshot 1 of 6

About this project

FashionPOS is a point of sale system for fashion retail businesses, built on a microservices architecture. It combines inventory, sales, analytics, staff management and AI-powered business reporting in one platform.

Architecture

  • API gateway for centralized request routing
  • Independent services for authentication, products, sales, users, analytics and AI agents

Features

  • Role-based access — Super Admin, Admin, Cashier and Helper roles, each with its own permissions
  • Inventory — SKU-based product tracking, product images, category organization, low-stock and out-of-stock alerts
  • Sales — real-time transactions, automatic receipts, partial payments, customer purchase tracking and a financial ledger
  • Customers — profiles, contact and address details, categorization and staff attribution
  • Analytics dashboard — daily sales reports, revenue insights and interactive charts
  • Multi-language — English, Urdu and Arabic

AI agent system

A multi-agent setup powered by OpenRouter generates business reports inside the POS:

  • Finder retrieves relevant business information
  • Collector gathers and processes the data
  • Reporter writes structured reports
  • Orchestrator coordinates the agents

Security

JWT authentication, bcrypt password hashing, RBAC authorization, XSS protection, MongoDB sanitization and Helmet security headers.

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