Case Study: Root Cause Analysis Using Air Quality Data for a Leading FMCG Company
- Vignesh Kumar G
- Oct 7
- 1 min read
Industry: Consumer Goods / FMCG
Engagement Type: Targeted Air Quality Monitoring for Process Diagnostics

🧩 Challenge
A leading consumer goods manufacturer faced recurring failures in a critical engineering process within its production line. Traditional diagnostic methods could not identify the root cause, prompting the need for a data-driven investigation into possible environmental factors.

💡 Ai-DEA Labs’ Solution
Ai-DEA Labs deployed a targeted Indoor Air Quality (IAQ) monitoring solution featuring high-resolution CO₂ sensors to continuously track carbon dioxide concentration within the process area and industrial incubators.
The objective was to correlate CO₂ fluctuations with process deviations and identify whether air composition was affecting product stability or performance.
Solution Highlights
Precision CO₂ sensors with fine resolution for accurate analysis
Continuous data logging and trend visualization
Configurable alerts for CO₂ threshold exceedances
Data analytics to correlate process failures with environmental variations
⚙️ Implementation
2 person-days of detailed system study
Solution deployed within one month
Data collected from industrial incubators and process zones
Integration with Ai-DEA Labs’ EMS for real-time monitoring and historical trend reports
🚀 Results & Impact
Identified CO₂ concentration as the key factor causing process instability
Detailed analytical report provided clear correlation between elevated CO₂ levels and failure events
Enabled precise corrective measures to maintain CO₂ within safe operational thresholds
Resulted in improved process reliability and reduced wastage
📊 Key Takeaway
By applying advanced air quality analytics, Ai-DEA Labs helped the customer pinpoint the root cause of process failures, demonstrating how intelligent environmental monitoring can directly support quality assurance and operational efficiency in manufacturing.



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