The enterprise friction point
A major automotive OEM gave Precision Mfg a 30-day ultimatum to digitize floor workflows and provide part-by-part real-time traceability. Manual clipboard-to-Excel tracking created a 48-hour reporting blindspot, and paper quality logs delayed scrap root-cause analysis by up to two weeks.
Transformation objectives
- Achieve real-time digital inventory and part traceability across all assembly lines.
- Automate scrap detection and line-side defect logging.
- Deploy live executive throughput and yield dashboards for OEM client audits.
- Meet the strict 30-day go-live implementation deadline.
Discovery & architectural audit
Floor audits revealed that the bottleneck was not machine throughput but reporting latency. Data collected on physical clipboards took two days to enter the ERP, hiding defect clusters until entire production runs were completed.
The Fortiv AI architecture
- 01
Floor Data Pipeline: Clipboards replaced with ruggedized tablet apps with instant QR scanning triggering real-time database updates.
- 02
Automated Quality Logging: Line-side inspection connected to edge servers, logging part dimensions and auto-rejecting defects in under 500ms.
- 03
Executive Dashboard: Live operational cockpit showing line throughput, defect Pareto charts, and inventory buffer health.
- 04
Rapid Deployment: Live in production by day 21, designed with simple intuitive touch interfaces requiring under two hours of worker training.
Verified audit outcomes
Post-deployment impact
- 21 Days
- From kickoff to full production deployment, beating the OEM deadline
- 48h → <1s
- Inventory and defect reporting latency
- 5% → 0%
- Manual data entry transcription error rate
- $5M/year
- Tier-1 OEM automotive contract retained
Architectural lessons learned
Building simple touch-first tablet interfaces for shop-floor operators is essential for 100% adoption.
Immediate visual feedback on defect logs prevents defect recurrence on subsequent production batches.
Future scale roadmap
Integrating computer vision cameras along conveyor lines for autonomous sub-millimeter surface defect detection.
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