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.
Free to start · No credit card required
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.
What's Included
Everything your Manufacturing needs
ProjectCode generates a production-ready Manufacturing with all the modules your team needs from day one.
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
Database
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 );
Tech Stack
Production-ready from day one
Every generated app uses a battle-tested stack you can deploy anywhere and own completely.
Frontend
React 18 + TypeScript + Tailwind CSS
Backend
NestJS 10 + Node.js + TypeScript
Database
PostgreSQL (managed or Supabase)
Auth
Email OTP · Google OAuth · GitHub OAuth
Deployment
Managed hosting · Custom domain · Auto-SSL
AI Models
Claude Sonnet · Claude Opus · Kimi
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.
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.
Pricing
Start free, scale as you grow
No per-seat fees. No vendor lock-in. Token-based pricing that scales with your usage.
Free
$0
Start building your first app. Live preview, managed hosting, and full code export included.
Token Packs
From $5
Purchase token packs that roll over every month. Build more, pay only for what you use.
Enterprise
Custom
Custom models, SLA, SSO, and private cloud deployment for large teams.
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.
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.
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