Enhancing Pharma Manufacturing Operations with AI-Driven Predictive Maintenance

Life Sciences Dataiku Data Science & Machine Learning 

Infocepts helped a leading pharma giant boost manufacturing efficiency with a Dataiku-powered predictive maintenance solution for CIP skid systems, reducing downtime, cutting costs, and enhancing reliability.

The Challenge

A leading pharma giant’s manufacturing center faced several critical challenges affecting efficiency and productivity:

Difficulty in maintaining the efficiency of Clean-In-Place (CIP) equipment, essential for ensuring production vessel cleanliness and compliance with safety standards.
Unplanned equipment failures leading to frequent downtime, disrupting production schedules and reducing overall throughput.
Reactive maintenance practices resulting in inflated costs and inefficient resource allocation.

The Solution

To address these challenges, Infocepts implemented a predictive maintenance solution powered by Dataiku, with supporting technologies including Snowflake, Power BI, and Python. Key solution components include:

Seamless data integration using Snowflake – Infocepts integrated batch records, sensor logs, and maintenance history into a centralized data repository, ensuring a unified, real-time view of CIP equipment performance. This integration allowed for more accurate insights and reduced the need for manual data reconciliation.
Machine learning-driven predictions in Dataiku – Using advanced AI models, we built predictive algorithms to analyze historical trends and identify potential failure patterns before they occurred. This shift from reactive to predictive maintenance reduced unexpected breakdowns and optimized resource planning.
Real-time anomaly detection and risk scoring – Implemented automated anomaly detection techniques that continuously monitor sensor data and performance metrics to identify early warning signs of failures. A risk scoring mechanism was developed to prioritize maintenance actions, ensuring timely intervention before critical issues arise.
Interactive dashboards in Power BI – Built real-time visualization dashboards that provided operational teams with intuitive insights into equipment health, upcoming maintenance needs, and overall system performance. These dashboards enabled data-driven decision-making, reducing reliance on manual monitoring and enhancing operational visibility.

The Outcome

The solution transformed maintenance operations, delivering measurable benefits:

20% reduction in annual maintenance cost by reducing unnecessary interventions.
35% reduction in unplanned downtime, improving production stability and efficiency.
$300,000 in annual financial savings, driving significant operational cost reductions.
Enhanced reliability of CIP equipment, ensuring a more consistent and safer production process.

By enabling a shift from reactive to predictive maintenance, Infocepts helped the client improve operational resilience, reduce costs, and optimize efficiency.

Talk to us to unlock the full potential of AI with Dataiku.

About the Client

Our client is a UK-based biopharmaceutical leader specializing in innovative medical treatments. With a strong global footprint, they offer a diverse portfolio of medicines spanning primary care, specialty care, and rare diseases.

Enhancing Pharma Manufacturing Operations with AI-Driven Predictive Maintenance

The Challenge

The Solution

The Outcome

Talk to us to unlock the full potential of AI with Dataiku.

About the Client

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