Automated Quality Control Software | Free Manufacturing Audit | Logirobotix

Manufacturing Solutions

Automate Your Quality Control: Free Manufacturing Audit + Implementation Path

See how much AI quality control can save your factory. Book a free audit. Defect reduction, labor savings, throughput gains. From concept to production in 8–12 weeks.

πŸ“… August 2026 ⏱️ Free consultation πŸ“ Manufacturing Β· Quality Control Β· Automation

How Much Is Bad Quality Costing You Right Now?

Most manufacturers have never calculated this. Let’s do the math.

Example: Mid-Sized Electronics Manufacturer

Production Volume
1,000 units/day
Current Defect Escape Rate
2.5% (25 units/day)
Cost Per Defect
€138 (all-in)
Annual Cost
€862K

That’s just defects reaching customers. Add QC labor cost (€129K/year) + production bottleneck impact (5% throughput loss). Total hidden cost: ~€1.1M–€1.4M/year.

What if you could cut that by 50% in 90 days?

That’s exactly what happens when you deploy AI-powered quality control. Here’s why it works.


Why Now? Why Not Tomorrow?

  1. Your competitors are already doing this. Manufacturers who deployed AI QC 18–24 months ago now have a 40% cost advantage. Every month you wait, that gap widens.
  2. Your customers expect it. Major OEMs now require defect rate < 0.5%. Manual inspection can't reliably achieve that.
  3. It’s simpler than you think. No factory overhaul needed. Works with your existing cameras. Deployment in 2–3 days.
  4. Regulatory pressure is increasing. ISO 9001, IPC-A-610, IATF, FDAβ€”all tightening defect rate requirements.

Three Implementation Paths

Path 1: Reduce Defects First (Most Common)

For: Manufacturers facing customer complaints or recalls. Goal: Detect 98%+ of defects before they leave your factory. Timeline: 8–12 weeks. ROI: 6–12 months.

Path 2: Cut QC Labor Costs

For: High inspection labor budgets. Goal: Reduce QC headcount by 60–75% while maintaining quality. Timeline: 6–10 weeks. ROI: 3–6 months.

Path 3: Increase Production Throughput

For: Hitting capacity limits. Goal: Eliminate inspection as a production bottleneck. Timeline: 4–8 weeks. ROI: 2–4 months.


Our Implementation Process

Week 1: Free Manufacturing Audit

Your facility (1 day on-site): We analyze your current quality control, inspection process, labor cost, production impact, defect types, and current equipment. Deliverable: Report with recommendations + custom ROI model. Cost: Free (no obligation).

Weeks 2–3: Pilot Design

Collect 5,000–10,000 reference images. Train the AI model on your specific defect types. Set accuracy targets (typically 95%+ detection rate).

Weeks 4–6: Deployment & Tuning

Install hardware. Integrate with your line controls. Run in parallel mode (AI alongside manual inspection for 2 weeks). Fine-tune for your line speed.

Weeks 7–12: Monitor & Expand

Track KPIs. Monthly performance reviews. Plan expansion to other lines if successful.


Benchmark Results from Real Deployments

Glass Manufacturer: Complete Results After 6 Months

Defect Detection Rate
71% β†’ 97%
Customer Complaints
12/month β†’ 2/month
QC Labor Hours
24 hours/day β†’ 6 hours/day
Production Throughput
5,000 β†’ 5,900 units/day
Year 1 Savings
€865K
Payback Period
6.5 months

What You Need to Provide

  • βœ… Access to your production line (2–3 days for deployment)
  • βœ… Sample parts (100–200 good + 100–200 defective, for training)
  • βœ… Technical contact who understands your line
  • βœ… Budget approval (€69K–€138K for first line)

What We Provide

  • βœ… Hardware: Cameras, lighting, processing unit (or integration with existing equipment)
  • βœ… Software: AI model, training, deployment, support
  • βœ… Integration: Connect to your MES/ERP (API, Modbus, OPC-UA)
  • βœ… Training: Your team learns to maintain and tune the system
  • βœ… Support: 99.5% uptime SLA + 24/7 technical support (optional)

FAQ

How long before we see results?

Real-time defect detection within 3–4 weeks. ROI breakeven typically occurs 45–90 days after deployment.

What if we have multiple product lines with different defects?

We deploy separate models for each line. Switching between models takes <1 minute.

What about high-mix, low-volume production?

High-mix makes AI training harder. We discuss hybrid approaches (AI for high-volume SKUs, manual for rare ones).

What’s the worst-case scenario if the AI fails?

Inspection falls back to manual for that day. But our SLA targets 99.5% uptime (43 minutes/month maximum downtime).

What about ongoing costs?

Hardware: 5–7 year lifespan. Software: €2.8K–€4.6K/year (perpetual license) or €1.8K–€3.7K/month (SaaS). Support: €460–€920/month (optional).


Three Ways to Get Started

Option 1: Book Your Free Audit

30 minutes on the phone + 1 day at your facility. We’ll analyze your QC process, identify your biggest opportunity, calculate custom ROI, propose an implementation timeline. No obligation. No sales pitch. Just data.

Option 2: Download Our Manufacturer’s Guide

Free 15-page guide covering: How to audit your current QC, defect cost calculation, AI quality control ROI models, common pitfalls, implementation checklist.

Option 3: Request a Demo

Virtual or in-person (30 min). Watch our AI vision system detect defects in real-time. Ask questions live. See it in action.

Next Step

Book Your Free Manufacturing Audit

30 minutes on the phone. 1 day at your facility. Custom ROI model. See exactly how much you can save.