Trace quality issues across the entire product lifecycle.
Connect engineering, production, and after-sales data in one view. Trace failures to root causes faster, cut warranty costs, and improve product quality.
The business question:
“What’s causing recurring quality issues, and how do we fix them across the product lifecycle?”
Why it's hard?
Engineering, production, and service data live in separate systems with incompatible models. Connecting them takes months, costs heavily, and still requires data analysts to interpret. Business users can’t get answers directly.
How it becomes easy?
d.AP unifies PLM, MES, ERP, and after-sales data in an ontology-grounded Knowledge Graph. Quality managers simply ask: “Which supplier components are linked to failures in after-sales?” The system connects the dots instantly.
What changes:
- Faster root-cause analysis
- Fewer recalls, lower warranty costs
- Improved product quality and higher customer satisfaction
