Our Case Studies
Manufacturing:
Batch Contamination & Failure Risk Prediction
Situation
A Pharma manufacturer was experiencing increased risk of batch failure due to undetected contamination risk in their key raw material. Undetected real time contamination, and reactive mitigation strategies during production cycle led to increased cost, high failure risk, and delay in supply of products delivery.
Solution
- Develop data pipelines, Map out current processes and workflows, Data collection, analysis, & cleaning to Identify patterns, anomalies, co-relations in data for feature engineering
- Leveraging our data-AI accelerators identify, test, validate multiple ML predictive models for predicting the contamination risks
- Develop real time alerts and notification mechanism for early detection of contamination risk with dashboards
- Continuous improvement and ML models re-training with feedback from Subject matter experts (SMEs)
- Setup a mobile enabled real-time time data capture capability reducing paper-based data collection
