Manufacturing & Industry
Build a Manufacturing Execution System (MES) with AI - in Hours
ProjectCode generates a complete, production-ready Manufacturing Execution System (MES) from a single natural language prompt. In hours instead of months, you get a React frontend, NestJS REST API, PostgreSQL database, and authentication - fully integrated, live-previewed, and deployed to a URL you own.
Estimated build time: 5–8 hours
Free to start · No credit card required
01 · The Challenge
Why building a Manufacturing from scratch is hard
Building a Manufacturing Execution System (MES) from scratch requires months of development time and significant engineering resources. Teams struggle to coordinate frontend, backend, database, and authentication while managing manufacturing-specific business logic, integrations, and role-based access rules.
02 · What's Included
Everything your Manufacturing needs
ProjectCode generates a production-ready Manufacturing with all the modules your team needs from day one.
03 · Architecture
How it's built
The generated Manufacturing follows production-grade architecture patterns.
React 18 + TypeScript frontend with role-based dashboards tailored for manufacturing workflows
NestJS REST API with dedicated manufacturing modules, DTOs, validators, and service layer
PostgreSQL relational schema with normalized tables for all manufacturing entities
JWT + Google OAuth authentication with granular permission gates per role
Real-time Socket.IO events for live manufacturing status updates and notifications
Managed hosting with one-click deploy, custom domain, and auto-SSL
PostgreSQL schema designed for Manufacturing
ProjectCode generates a normalized, indexed PostgreSQL schema with the right tables and relationships for your use case. You own the schema and can evolve it freely.
- production_orders (id, product_id, bom_id, routing_id, planned_qty, actual_qty, status, planned_start, actual_start, planned_end, actual_end, workspace_id)
- work_centers (id, name, type, capacity_per_shift, current_utilization, status, oee_target, workspace_id)
- quality_inspections (id, production_order_id, operation_id, type, sample_size, defects_found, pass_fail, inspector_id, inspected_at)
- bom_items (id, bom_id, component_id, quantity, unit, scrap_factor, is_critical)
-- Generated by ProjectCode -- Manufacturing Execution System (MES) schema CREATE TABLE production_orders__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns ); CREATE TABLE work_centers__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns ); CREATE TABLE quality_inspections__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns ); CREATE TABLE bom_items__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns );
05 · Tech Stack
Production-ready from day one
Every generated app uses a battle-tested stack you can deploy anywhere and own completely.
React 18 + TypeScript + Tailwind CSS
NestJS 10 + Node.js + TypeScript
PostgreSQL (managed or Supabase)
Email OTP · Google OAuth · GitHub OAuth
Managed hosting · Custom domain · Auto-SSL
Claude Sonnet · Claude Opus · Kimi
06 · Try It Now
Example prompt to get started
Copy this prompt into ProjectCode and get a working app in minutes.
Build a manufacturing execution system for a precision engineering factory with 50 work centers and 1,000 SKUs. Include production order management linked to ERP, work center scheduling with machine availability, BOM and multi-step routing management, operator job card entry on tablets, real-time WIP status on a production floor dashboard, quality inspection recording at each operation, OEE tracking per machine (availability, performance, quality), material consumption updates to inventory, and shift production reports.
07 · Deployment
Deploy your Manufacturing anywhere
Managed hosting
One-click deploy to a live URL managed by ProjectCode.
Custom domain
Connect your own domain with auto-provisioned SSL via Cloudflare.
GitHub export
Push to your GitHub repo and self-host or deploy via Vercel, Railway, or AWS.
Docker ready
Export a Dockerfile and docker-compose for any containerized environment.
08 · Pricing
Start free, scale as you grow
No per-seat fees. No vendor lock-in. Token-based pricing that scales with your usage.
$0
Start building your first app. Live preview, managed hosting, and full code export included.
From $5
Purchase token packs that roll over every month. Build more, pay only for what you use.
Custom
Custom models, SLA, SSO, and private cloud deployment for large teams.
09 · FAQ
Common questions about building a Manufacturing
Overall Equipment Effectiveness is the gold standard manufacturing productivity metric. OEE = Availability × Performance × Quality. Availability is uptime vs planned time; Performance is actual output rate vs ideal rate; Quality is good units vs total units produced. The system calculates OEE in real time from downtime logs, production counts, and quality inspection results.
10 · Related
More apps you can build
Build your Manufacturing in hours, not months
Start free. No credit card. Your first app is live in minutes.
Get started free