Success Story.

The Science of Uptime: Predictive Intelligence for Manufacturing Success

The client is a global leader in filtration, separation, and purification technologies, headquartered in Port Washington, NY. Serving life sciences and industrial sectors, their solutions ensure fluid quality and operational reliability in hospitals, laboratories, aircraft, energy systems, and municipal water networks.

Business Need

Facing rising customer churn, lost sales, and declining product quality, the client struggled with time-intensive manual processes and fragmented data. They required a scalable data science solution to:

Predict churn across products and regions
Detect early signs of machine failure
Automate quality assurance processes
Extract insights from customer feedback
Optimize manufacturing through root cause analysis
Visualize trends across time, geography, and product types

Solution

YASH Technologies designed and implemented a comprehensive data science strategy tailored to the client’s operational and customer retention goals:

Data Harmonization: Unified data from XML files, flat files, and databases for consistent analysis
Predictive Modeling: Built survival analysis and classification models to forecast churn and test outcomes
Text Analytics: Analyzed customer survey data to uncover dissatisfaction themes
Operational Intelligence: Mined machine logs for failure prediction and performed RCA to identify and mitigate root causes
Customer Segmentation: Applied RFM analysis to classify customers and built dashboards to monitor churn risk

Benefits

Improved Retention

Targeted interventions based on churn probability and customer behaviour

Defect Prevention

Early detection of test failures reduced product issues

Efficiency Gains

Automated classification and audit processes saved time

Real-Time Visibility

Dashboards provided dynamic insights into machine health and customer trends

Faster Resolution

Text analytics enabled quicker response to customer pain points

Download Full Case Study