Transforming Product Lifecycle Management for a Global Pharma Leader

A global pharmaceutical leader sought to modernize its Product Lifecycle Management (PLM) systems to improve manufacturing efficiency, supply chain integration, and cross-department collaboration. By implementing a unified AI and analytics-driven platform, the company achieved streamlined workflows, enhanced data visibility, and faster decision-making across multiple business units in the U.S. and Europe.

The Challenge: Integrating PLM Across Diverse Business Units

Rapid expansion and multiple acquisitions had created a fragmented PLM landscape, with separate systems across departments and regions. The company faced challenges including:

• Lack of cohesive visibility into product data across the lifecycle
• Disconnected workflows between engineering, manufacturing, and supply chain teams
• Difficulty in ensuring traceability, standardization, and compliance across business units
• Slow change management and delayed product launches due to inefficient processes

The organization needed a comprehensive, scalable PLM solution to unify operations, enhance collaboration, and drive operational excellence.

The Solution: Unified, Scalable PLM for End-to-End Product Lifecycle Management

The initiative focused on consolidating disparate PLM systems into a single, integrated platform to enable seamless data flow and collaboration across departments. Key components of the solution included:

• Continuous transfer of product data from engineering to manufacturing, covering Bills of Materials (BOMs), Process Plans, and Resource Planning
• Integration with existing ERP and CRM systems to create a cohesive operational ecosystem
• Automated workflows to streamline manufacturing, product development, and change management
• Embedded analytics, machine learning, and decision automation to provide actionable insights and improve efficiency

This approach empowered teams to work in unison, reduced operational silos, and enhanced traceability across all product lines.

Platform Capabilities Driving the Solution

• Data Flows: Efficient ingestion and processing of both structured and unstructured data
• Process Flows: Automated workflows supporting enterprise operations and customer journeys
• Event Flows: Real-time event monitoring to enable proactive responses
• ML Flows: Embedded machine learning to enhance decision-making
• Decision Automation: High-precision automation of complex business rules
• Analytics & Reporting: Actionable dashboards providing clear operational visibility
• Business Rules: Configurable and fully auditable rule sets
• Enterprise Connectors: Fast integration via pre-built and custom connectors
• GenAI: Automated text generation for data, process, and event workflows
• Multi-Channel Apps: Flexible web and mobile interfaces supporting online and offline modes
• RPA: Unified robotic process automation to streamline repetitive tasks

Value Delivered

• 85% Improvement in new product development speed and go-to-market efficiency
• 79% Enhancement in change management KPIs
• 85% Standardization of similar processes across product lines

These results translated into faster product launches, higher operational efficiency, and stronger alignment between business units.

This solution was delivered in partnership with EvoluteIQ.