PostgreSQL

The Restaurant Management System (RMS) is an integrated platform designed to streamline and automate restaurant operations. It combines POS, inventory, production costing, HR & attendance, employee management, accounting, and business intelligence into a single scalable solution.

The goal is to build a modern, data-driven system that supports multi-branch restaurants, enables accurate cost control, and provides real-time operational insights.

Core Features

Sales & POS: Order lifecycle, table management, waiter assignment, payment handling.

Inventory Management: Ingredient-level tracking, purchase orders, supplier management, stock movements, recipe-based auto-deduction.

Production & Costing: BOM/recipe setup, real cost calculation, batch production, COGS monitoring.

HR & Attendance: Employee roles, clock-in/out, break tracking, loans/advances, payroll logic.

Accounting Layer: Light GL engine, COA structure, linked transactions for sales, purchases, payroll, and inventory.

BI & Analytics: Dashboards for sales, costs, performance, forecasting, and data exports for external BI tools.

Technical Focus

Backend: Python / Django

Database: PostgreSQL with a clean ERD

Testing: Selenium, PyTest, automated workflows

Data & BI: Python analytics, Power BI dashboards

Architecture: Modular, scalable, multi-location support

Current Status

Business analysis completed

Initial UI prototype for Inventory done

Database design phase in progress

Parallel work on BI strategy and project structure

Vision

RMS aims to become a commercial-grade SaaS product with cloud/on-prem deployment, mobile apps for staff, AI-driven forecasting, and full operational analytics.

Solución end-to-end para la migración y análisis de datos utilizando Python, FastAPI, Kafka y PostgreSQL. Implementa un pipeline de datos asíncrono y una API RESTful para analíticas, todo completamente containerizado con Docker Compose para un despliegue fácil y reproducible.

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Starter RESTful Backend Application built with Node.js designed to connect to a PostgreSQL database and integrate with both REST and SOAP services. This project provides a clean and modular architecture to accelerate backend development for enterprise or telecom solutions.

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