Fewer unplanned stoppages
Higher production yield
Faster compliance retrieval
Reported outcomes from this engagement; not projected results for a new pilot.Batch traceabilityExample
Batch recordLOT-2048
- Materials
- Received
- Inspection
- Reviewed
- Deviation
- Owner assigned
- Release
- Awaiting sign-off
A traceable review before release
Results
After go-live, the manufacturer delivered:
- Fewer unplanned stoppages through predictive maintenance on critical equipment.
- Higher yield from earlier detection of process drift and quality risk.
- Stronger compliance posture with faster audit retrieval and clearer deviation tracking.
- Tighter traceability for batch inquiries and recall readiness.
- Lower cost of poor quality via reduced scrap, rework, and emergency fire drills.
The Challenge
A medical device manufacturer operated under strict FDA and ISO 13485 expectations with quality and downtime pressure on every line. Their gaps:
- Compliance Burden: Proving adherence required meticulous records and process control that manual systems couldn't keep up with.
- Quality Escapes: Defects carried outsized risk—quality control had to be proactive, not reactive.
- Traceability Requirements: They needed full visibility into materials, processes, and personnel for each batch.
- Data Integration Complexity: QMS, MES, LIMS, and related systems stayed siloed, blocking line-level analysis.
- Audit Preparedness: Retrieving accurate evidence for regulators took too long and too much staff time.
What We Built
We delivered a validated analytics and monitoring stack:
- Integrated Data Platform: Consolidated QMS, MES, LIMS, EBR, and supplier feeds into Microsoft Fabric with controlled pipelines.
- Quality Monitoring Dashboards: Shipped Power BI views for NCR trends, CAPA status, and defect rates by process and component.
- Traceability Reporting: Built rapid batch/lot lookup covering materials, process steps, and quality checks.
- Compliance Analytics: Flagged process deviations against specs and regulatory requirements automatically.
- Predictive Maintenance & Quality: Used historical and machine data to anticipate equipment risk and process conditions tied to defects.
- Audit Support: Configured reports designed for fast retrieval during regulatory reviews.


