Use Case · Manufacturing
Quality Control
& Inspection Reporting
Inspection data captured automatically, inspection reports generated, deviations escalated in real time. Seamless documentation without manual data entry, ISO-compliant from day one.
Why Quality Control Is a Lever
Hours pass between measurement and reaction
On the shop floor, hundreds to thousands of inspections take place every day. Goods receipt, in-process inspection, final inspection.
Each generates data: measured values, tolerances, visual checks, batch numbers. In practice, the operator measures, writes on paper and hands it in. Someone types it up hours later.
The problem is the chain after the measurement. A measured value with a developing trend is overlooked, because nobody analyses trends while forms are being typed up. A deviation on the early shift only reaches QM on the late shift, by which point the batch has already been processed further.
QM staff spend 40-60% of their time on documentation: inspection reports, data entry, audit preparation. The actual QM work falls short: root cause analysis, process improvement, prevention.
How the Process Changes
Before / After
between measurement and reaction to deviation
The Solution in Detail
How We Automate Quality Control
01
Automatic Data Capture
Measured values flow directly from gauges, sensors or digital checklists into the system, without paper, without transcription. Visual inspections via tablet. Every value with timestamp, inspector ID, batch and part number.
Gauge integration (Mitutoyo, Zeiss, Keyence) via RS232/USB/OPC-UA. Tablet checklists for visual inspections. Barcode/QR scan for batches. Offline-capable.
02
Real-Time Analysis & Deviation Detection
Every measured value is checked against tolerances immediately. SPC detects trends before the limit is reached. Deviations are escalated at once, not at the end of the shift.
03
Automatic Inspection Report Generation
From the data, the AI agent generates complete inspection reports, formatted, with all mandatory fields, batch information and inspector identification. PDF export for customers and suppliers. Archived audit-proof.
Template-based, configurable per inspection type and customer. Automatic integration of all measured values, images and comments. Customer-specific formats (e.g. PPAP, ISIR).
04
QM Dashboard & Audit Readiness
Central dashboard: inspection results, trends, scrap rates, complaints, open actions. Drill-down from plant to line to individual measurement. Audit evidence at the touch of a button.
Power BI dashboard. SPC charts (X-bar-R, p-chart). Pareto for top defects. KPIs: PPM, Cpk, scrap rate, first-pass yield. Export for customer audits and certifications.
Results
Less documentation effort
70%
tionsaufwand
Deviations detected
erkannt
−30%
scrap
1 day
(previously 3 weeks)
The greatest lever is not the time saved on documentation but the cost of quality. A deviation detected 4 hours too late means 4 hours of production as potential scrap.
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Ready?
How many quality inspections take place on your shop floor per day?
Let us look in 30 minutes at where the greatest quality costs arise, and how real-time data capture and automatic reporting can improve your production.
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