AI in manufacturing Your specialists handle the borderline cases, not every routine one.
In quality, maintenance and order planning, specialists spend much of their time on clear-cut cases. We automate this normal case under rules you approve. We also show per station and site where availability, quality and margin are lost.
Industry & manufacturing
DataClue brings AI and analytics to mid-sized industrial and manufacturing companies: into quality inspection, maintenance, and order and capacity planning. Clear-cut cases run automatically under approved rules. Borderline cases go to your team with all the data. On top come KPIs from MES and ERP that show the loss drivers per station and site.
Where manufacturing is under pressure today
- Experienced inspectors and maintenance technicians are scarce. Their time goes into routine cases instead of the hard ones.
- Delivery dates are promised before capacity and material are checked. On-time delivery suffers as a result.
- Several sites, several ERP systems: monthly reporting means consolidating by hand.
Typical starting points in industry and manufacturing
In manufacturing it is often about inspection lots, fault reports and dates that no longer match capacity and material. Your quality assurance still blocks a lot.
Quality and inspection
Every inspection lot is released by hand, even when everything is within tolerance.
- Runs automatically
- Release of lots that are clearly within tolerance.
- Your team decides
- Special release, block, rework.
Metric, e.g. inspection effort per shift
Maintenance
Many fault reports, the maintenance history sits in another system.
- Runs automatically
- Classifying clear reports, with the history of the asset.
- Your team decides
- Intervene or keep running.
Metric, e.g. response time per fault
Orders and planning
Dates, capacity and material are matched by hand.
- Runs automatically
- Match per order, conflicts are flagged.
- Your team decides
- Priority in bottlenecks, commitments to customers.
Metric, e.g. on-time delivery
From inspection lots to multi-site reporting, on your existing systems
- AI-supported workflowsInspection lots, fault reports and order matching run under approved rules. Special releases and interventions stay with your specialists.
- Data-driven decisionsKPIs from MES and ERP show availability, performance and quality per station. Reporting across all sites needs no manual consolidation.
- AI potential analysisIf it is still open whether quality, maintenance or planning comes first: use cases assessed by business value, feasibility and effort.
- Program steeringFor plant, ERP and MES programs: one integrated plan across business units, IT and vendors through go-live.
What the same purchased parts cost across your plants
Procurement analytics
Purchased parts, C-parts and operating supplies bought across several plants and suppliers: we compare your supplier invoices at item level.
What this looked like in practice
- +18percentage points more technical availability, the biggest OEE leverData-driven continuous improvement: technical availability raised from 70% to 88%
- 50%less monthly consolidation effortFull margin transparency across three sites and multiple ERP systems
All client examples are anonymized.
Other industries
Industry & manufacturing
Frequently asked questions
Do we have to replace ERP, MES or CAQ?
No. We work with your existing systems and connect their data to the decisions. The initial assessment shows which interfaces are needed.
What does automatic release of inspection lots mean in practice?
Only lots whose measurements are clearly within tolerance are released automatically. Your quality lead has approved the rule for this beforehand. Borderline cases go to the quality lead with all measurements. Every release is logged with its measurements and rule version, so it stays traceable in an audit.
Does this work across several sites with different ERP systems?
Yes. We bring the sites’ data into one shared data foundation without requiring you to harmonize the ERP systems first.
What does the works council say?
Systems that log decisions can be subject to co-determination by the works council. We involve the works council early and disclose what is logged and why.
Contact
Which check takes up most of your specialists’ time today?
Tell us about a workflow in quality, maintenance or planning. We tell you openly whether AI pays off there.
