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Enterprise ERP

QMS Leader

"AI-powered ERP with built-in ISO 9001 compliance"

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Database Tables
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API Endpoints
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Migrations
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TypeScript Files
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Services
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░▒▓ Overview

QMS Leader is a full-stack ERP system that unifies inventory, purchasing, sales, manufacturing, and quality management into a single platform with AI-native capabilities.

Built for small manufacturers (10-200 employees), it transforms ISO 9001:2015 compliance from a documentation burden into a natural byproduct of daily operations through an innovative knowledge graph architecture that connects all business entities.

░▒▓ Key Features

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Unified ERP Modules

Inventory management with FIFO/LIFO/Average costing, lot traceability, purchasing with three-way matching, sales with ATP calculations, and manufacturing BOMs.

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AI-Powered Gap Analysis

Multi-phase compliance assessment engine using GPT-4o with semantic document search (pgvector), embedding caching (90%+ API cost reduction), and parallel clause processing.

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Knowledge Graph Core

Entity relationship system connecting people, equipment, suppliers, customers, processes, and products for "what-uses-what" queries and impact analysis.

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Dynamic Forms System

25+ configurable form templates with conditional logic, versioning, and approval workflows tied to equipment PM scheduling.

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Enterprise Multi-Tenancy

Row-Level Security on all 216 tables with role-based permissions, immutable audit trails, and organization-scoped data isolation.

░▒▓ Tech Stack

Frontend

Next.js 14
App Router with server components for optimal performance
React 18
Concurrent features and Suspense for smooth UX
TypeScript
Full type safety across 1,436 files
Tailwind CSS
Utility-first styling with custom design system
shadcn/ui
Accessible component primitives
TipTap
Rich text editing for documentation

Backend

Next.js API Routes
428+ endpoints with type-safe handlers
Zod Validation
Runtime schema validation for all inputs
BullMQ
4 dedicated workers for background jobs
Redis
Queue management and caching layer

Database

Supabase
PostgreSQL with real-time subscriptions
pgvector
Vector embeddings for semantic search
Row-Level Security
Multi-tenant data isolation at DB level

AI/ML

OpenAI GPT-4o
Gap analysis and document generation
text-embedding-3-large
Document vectorization for semantic search
Tesseract OCR
Document text extraction

░▒▓ System Architecture

Next.js Frontend API Routes (428+) 86 Services 66 Repositories BullMQ Workers Supabase (216 tables) OpenAI + pgvector

░▒▓ Knowledge Graph

The entity_relationships table enables graph queries across all business entities. Click and drag nodes to explore how entities connect.

People
Equipment
Suppliers
Customers
Processes
Products
Select a node
Click on any node to see its relationships

░▒▓ What Makes It Interesting

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AI-Native, Not AI-Bolted

Compliance analysis, document suggestions, and competency detection are core workflows, not afterthoughts.

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Knowledge Graph Backbone

entity_relationships table enables graph queries across all business entities for impact analysis.

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Multi-Phase AI Optimization

Gap analysis evolved through 3 optimization phases with measurable 40-50% confidence improvements.

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Embedding Cache Strategy

Intelligent caching reduced OpenAI embedding API calls by more than 90%.

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Complex Business Rules

Three-way matching, ATP calculations, FIFO/LIFO costing, lot traceability all implemented correctly.