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Accelerate treatment to patients

Achieve a faster, more efficient and compliant supply chain that reinvents operations and delivers results for patients.

Life sciences’ supply chains and operations are under pressure due to a rapid increase in drug complexity and discovery. Companies are struggling to juggle their traditional supply mix with new products for smaller patient groups, and silos delay treatment and impact care. Data-powered processes can optimize the links between supply chain & operations, R&D, regulatory, quality and commercial.

How supply chain & operations are changing

Unlocking change in supply chain & operations

Supply chains & operations have become uniquely challenging for life sciences companies. Data can enhance the process from clinical to commercial supply, allowing companies to establish uniformity, streamline processes, break down barriers, and promote collaboration. They will also be better able to manage change and ready to leverage AI and technology to reinvent their operations and technology.

What you can do

Build agile supply chains and operations

Improve your productivity with the latest supply chain and operational technology. Quickly adopt product improvements and rapidly close less patient-centric variants.

Enable autonomous supply chains and operations

Make your process faster and more efficient. Minimize waste, uncertainty and risk of non-compliance through continuous improvement, accelerated with data and AI.

Develop resilient supply chains and operations

A supply chain with robust, high-yield processes can speed up your R&D pipelines and diversification, helping you quickly scale your supply.

Transform quality into a strategic competitive advantage

Quality’s primary role is to transform uncertainty into trust, enabling faster, more effective decision-making and building the critical knowledge base for advancing medicine development. By aligning with key business imperatives, Quality can foster the foundation of trust across all functions of your organization:

Deliver business value with agile quality

  • Increase speed to market: Balancing speed and quality is critical in today’s fast-paced environment. Leveraging agile methodologies, iterative development, and continuous testing, will help organizations deliver high-quality products while reducing time-to-market.
  • Strategic value of quality: Demonstrating the strategic impact of quality is essential for gaining stakeholder support. By aligning quality initiatives with business goals, organizations can enhance revenue, reduce costs, and strengthen their market reputation.

Embed quality from the start

  • Quality and compliance by design: Embedding quality into the supply chain and manufacturing process ensures regulatory expectations and requirements are met from the outset. Through cross-functional collaboration and risk-based approaches, potential issues are anticipated early, reducing costly errors and delays.
  • Integrating regulatory requirements directly into workflows from the beginning also minimizes risks and ensures consistent adherence to standards. This approach enhances efficiency and fosters trust across stakeholders.

Modernize quality through digitalization

  • Harnessing the power of technology; Advanced technologies like AI, ML, IoT, and data analytics are revolutionizing quality management. By integrating these tools, organizations can streamline processes, enhance precision, and reduce human error. Digital quality solutions can enable real-time decision-making and advanced visualization techniques to optimize performance and ensure high standards are consistently met.
  • Intelligent quality; By embedding AI and automation into quality systems, decision-making becomes faster and more efficient. Intelligent Quality shifts the paradigm from periodic quality checks to a proactive and shared responsibility among leaders, fostering continuous improvement and innovation.

Approach quality holistically

  • Real-time responsiveness: In a dynamic environment, enabling immediate responses to emerging issues is key to maintaining high performance. Focus on building systems that support real-time decision-making and adaptive strategies.
  • Focus on Responsible AI: As AI becomes central to quality operations, ensuring its responsible use is vital. Prioritize addressing biases, adhering to regulations, and scaling AI ethically, ensuring it delivers value without compromising trust.

Our leaders

Barry Heavey

Managing Director – Global Life Sciences Supply Chain & Manufacturing Lead

Carly Guenther

Managing Director – Strategy & Consulting, Supply Chain & Operations, Customer-Centric Supply Chain Lead

​​Brian Brunner

Managing Director – Global Quality Practice Lead, Life Sciences