AI for Manufacturing
Predictive maintenance, automated quality control, intelligent production planning. We make your manufacturing data-driven — pragmatic, GDPR-compliant, and measurable.
less unplanned downtime with predictive maintenance
time saved in document processing
error rate with AI-powered quality control
to positive ROI
Sound familiar?
We see these challenges in almost every manufacturing company.
Unplanned machine downtime
A single unplanned stop easily costs five-figure sums. Reactive maintenance means: you repair instead of produce.
Manual quality control
Visual inspections are slow, subjective, and error-prone. With increasing volumes, manual QC no longer scales — reject rates climb.
Paper-based order processing
Orders by fax, invoices by mail, data manually entered into ERP. Every media break costs time and produces errors.
Production planning by gut feeling
Capacity is planned by experience, not data. The result: overcapacity, bottlenecks, and missed delivery dates.
AI Solutions for Manufacturing
Four building blocks that can be used individually or combined.
Predictive Maintenance
Analyze sensor data, predict failures, plan maintenance — before the machine stops. Reduces unplanned downtime by up to 35%.
AI-Powered Quality Control
Visual inspection with computer vision. Detects defects faster and more consistently than the human eye — every shift, every part.
Automated Order Processing
Automatically recognize, extract, and book invoices, delivery notes, and orders into ERP. No more manual data entry.
Production Planning Optimization
Demand forecasts based on historical data, seasonality, and market trends. Optimal capacity utilization instead of gut feeling.
How an AI project in manufacturing works
Four phases — from free consultation to scaled solution.
Analysis
Free initial consultation (30 min). We understand your production, machines, and bottlenecks. You get an initial assessment of AI potential.
Pilot Project
Implementation of the most impactful use case in 4–8 weeks. Measurable proof with your real production data.
Integration
Connection to existing ERP, MES, and machine systems. GDPR-compliant data processing in European data centers.
Scaling
Roll out to more lines, plants, and processes. Training your team for independent operation.
Results from practice
Concrete results that manufacturing companies have achieved with our AI solutions.
Challenge
Invoice processing took 3 days per batch. Manual data entry into ERP regularly caused errors.
Solution
AI-powered document recognition with automatic ERP posting. OCR + ML classification for all incoming documents.
Challenge
Frequent unplanned machine stops caused production losses and high repair costs.
Solution
Predictive maintenance with retrofit sensors on critical equipment. ML model detects anomalies 72h in advance.
Challenge
Manual visual inspection could no longer meet quality requirements with increasing production volumes.
Solution
Camera-based AI quality control with real-time classification directly on the production line.
What can AI save in your production?
Calculate your savings potential in 2 minutes — free and no obligation.
FAQ: AI in Manufacturing
Answers to the most common questions.
What does an AI project in manufacturing cost?
Pilot projects start from €10,000. Typical projects with ERP integration range between €15,000 and €40,000. What matters is the ROI: our projects typically pay for themselves within 3–6 months.
Do we need a lot of data for AI in manufacturing?
Not necessarily. For document processing (OCR), you don't need any historical data. For predictive maintenance, we recommend at least 3 months of sensor data. We help you build the right data foundation.
Does AI work with older machines?
Yes. Older machines can be equipped with retrofit sensors (vibration, temperature, current). For document processing and production planning, machine age doesn't matter.
How does AI integrate with our ERP system?
We integrate with SAP, Microsoft Dynamics, DATEV, Sage, Navision, and many other systems — including older software without modern APIs. Integration is part of every project.
What about data protection and GDPR?
Data protection is our top priority. Production data stays in European data centers. Every project undergoes a GDPR pre-assessment. On request, we work with your data protection officer.
How quickly will we see results?
First results after 4–8 weeks in the pilot project. Quick wins like automated invoice processing show results after just 2–3 weeks. Predictive maintenance needs 2–3 months of learning time.
Can we use funding for the project?
Yes, many AI projects in manufacturing are eligible for funding. We support you with the assessment and application — BAFA, KfW, and state programs. More on our funding page.
Ready for AI in your production?
30-minute initial consultation — free and no obligation. We analyze your automation potential and show concrete next steps.