Insurance Operations

25% defect reduction, improved efficiency, and ROI expected in 2.5 years

Background

In high-precision manufacturing environments—like aerospace or automotive composites—minor inaccuracies can lead to costly defects or product rework. Our client, a leading fiberglass component manufacturer, needed a solution that would boost quality while streamlining manual processes.

The Challenge

Workers layering fiberglass by hand faced difficulty maintaining consistent placement. This variability led to material waste, structural defects, and increased inspection and correction time. Manual quality control couldn’t catch all issues in time, creating downstream costs.

The Solution

Azranta engineered a machine learning–powered visual guidance system integrated directly into the production line. The solution included:
🔦 Laser grid projection to guide workers with real-time visual cues for precise fiberglass placement
📷 An array of high-resolution cameras to monitor each layer in real time
🧠 Computer vision algorithms to detect misalignments, gaps, and defects immediately
📊 Automated alerts and dashboards to track quality metrics and guide corrective actions

What the Retail Chain Said

The ML-guided laser system has transformed our production floor. Our teams are faster, more accurate

This case illustrates how intelligent automation doesn’t just replace human work—it amplifies precision and consistency, leading to tangible cost savings, improved product quality, and scalable manufacturing excellence.

25% reduction in product defects, verified through internal QC and third-party audits
Improved cycle time due to fewer reworks and less manual supervision
ROI expected within 2.5 years, based on savings in waste, rework, and warranty claims
Better worker efficiency and reduced training time, thanks to the intuitive laser grid interface

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