Sistema MRP is a complete logistics management platform built with Streamlit and SQLAlchemy. It implements a lightweight MRP workflow designed for small-to-medium businesses in industries like construction and textiles — covering everything from registering materials and managing warehouse stock to generating dispatch guides (Guías de Remisión) and tracking costs per project.Documentation Index
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Quick Start
Install dependencies, initialize the database, and run the app in minutes
Core Workflow
Understand the full logistics flow from requirements to receipts
Dashboard
Monitor KPIs, stock levels, and movement trends in real time
Administration
Manage client accounts, projects, and access logs
Key features
Multi-warehouse inventory
Track stock and reservations across principal and work-site warehouses, with automatic reprocessing when stock is replenished
MRP requirements engine
Create material requirements from work sites — the system automatically reserves stock from the principal warehouse
Dispatch with PDF guides
Generate dispatches and automatically produce a Guía de Remisión PDF with GR numbering format
Project budget tracking
Link inventory and requirements to projects, track spending in soles and dollars, and compare against budget
Full movement traceability
Every stock change produces an IN or OUT movement record, giving you a complete audit trail
Multi-tenant roles
Superadmin manages all client accounts; each client sees only their own warehouses and data
How it works
Set up warehouses and materials
Create a principal warehouse and one or more work-site (obra) warehouses. Register the materials you’ll track with codes, names, and units.
Add stock to the principal warehouse
Load inventory into the principal warehouse, optionally linked to a project. Available stock is calculated as
stock - reserved.Create requirements from work sites
Work-site users create material requirements. The system automatically reserves available stock from the principal warehouse.
Sistema MRP supports both SQLite (for local development) and PostgreSQL (for production). See Configuration for database setup details.