Secure, resilient supply chains are vital to delivering patients lifesaving, life-changing medical treatments. Recent product security regulations have enabled near-real-time granular material movement data to be available. Yet most pharmaceutical and medical device companies still don’t have efficient systems to gather and process essential supply chain data. 

Artificial intelligence (AI) and machine-learning can help life sciences companies transform and optimize their supply chains.
Companies that embrace and deploy these tools will be better equipped to navigate the market and supply chain challenges – and more likely to thrive in an increasingly competitive future.  A “digital twin,” or digital model of your supply chain, can help you manage costs and quickly respond to disruptions and opportunities. With AI and machine-learning, you can create resilient, semi autonomous supply chains. Join this webinar to learn:

• What a digital twin is and how they enhance decision-making in life sciences
• Questions to ask before building a digital twin
• How to create processes to manage a digital twin

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