Jabil enhances manufacturing quality control with AI-driven automation
Jabil, a global manufacturing company, faced challenges with traditional, manual quality control processes that were slow, inconsistent, and prone to errors. To address these issues and optimize product quality, Jabil implemented an AI-powered quality control system powered by Microsoft technologies. The solution utilizes Azure AI Vision for automated visual inspection across multiple production lines, enabling real-time and objective defect detection. Automated defect alerts and corrective workflows were set up using Power Automate. The integration of Dynamics 365 provided end-to-end data visibility across production, quality, and management domains. Copilot is leveraged to assist production teams with decision support and troubleshooting in real time. These technologies together reduced manual errors, increased the speed of inspections, and helped to identify root causes of recurring defects. The new system enabled a scalable, reliable, and repeatable quality control standard across Jabil's factories. It also allowed Jabil to shift from reactive to proactive maintenance, supporting continuous improvement and compliance.
- Organization
- Jabil
- Industry
- Manufacturing
- Location
- United States
- Published
- July 2025
Reported outcomes
97%
accuracyQuality & accuracy
Strategic outcomes
Catalog median for quality & accuracy deployments: +90% across 282 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 3
- 1Automated Visual Quality Inspection for Manufacturing
- 2AI-Assisted Root Cause Analysis in Production Lines
- 3Real-Time Defect Detection and Correction Automation
- Manual inspections were slow, inconsistent, and reliant on subjective human judgment.
- Recurring defects frequently escaped detection, leading to production delays and wasted materials.
- Scaling traditional quality control methods to high-volume production lines was cost-prohibitive.
- Disconnected data silos hindered cross-department visibility and collaboration.
- Deployed Azure AI Vision for real-time automated defect detection in manufacturing lines.
- Automated defect alerts and workflows with Power Automate to ensure swift correction of quality issues.
- Integrated production and quality data using Dynamics 365 for unified management oversight.
- Implemented Copilot to provide frontline workers with intelligent assistance and recommendations.
- Achieved over 97% defect detection accuracy.
- Reduced inspection times by 60%.
- Significantly lowered manual errors and waste.
- Established a scalable and standardized quality control process.
Architecture
Products are visually inspected in real time by Azure AI Vision, with detected defects triggering Power Automate workflows for corrective actions. All inspection and production data sync into Dynamics 365, enabling unified oversight, while Copilot offers real-time decision support to operators on the shop floor.
Implementation partners1
Sources & evidence3
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