Digitizing your cold chain operations to improve patient outcomes
How digital twins enable innovation, resilience and collaboration in pharmaceutical cold chains
Join this webinar with ParkourSC to learn how digital twin technology can improve the visibility of your supply chain
Pharmaceutical and life sciences organizations lack visibility in their end-to-end supply chain because of information and organizational silos. Despite extensive planning, losses can arise from many unexpected events and excursions, such as temperature sensitive products becoming too warm or missed pick ups. Supply chain failures cause businesses to lose up to half of a year’s profits over the course of a decade, according to McKinsey.
Existing legacy systems used to manage the supply chain were not designed to manage operations in real-time and are often not integrated across organizations. Instead, businesses need a real-time supply chain operations platform that collects data and signals from anywhere in the supply chain, analyzes the information to provide predictive insight into excursions and risks, and enables modeling to avoid future issues.
To combat risk and volatility, supply chain executives can also look to digital twin technology. Using advanced analytics and artificial intelligence (AI), the digital twin simulates the supply chain’s performance and identifies where volatility and risks exist, pointing to areas that need innovation.
A digital twin also enables scenario planning, so that a company can make decisions based on business needs rather than merely resolving issues as they arise.
Join this webinar to find out:
- How to use digital twins and thermal packaging solutions to ensure quality and sustainability
- How digital twin technology can improve collaboration with clinicians and optimize patient outcomes
- The benefits of scenario planning to enable long-term business strategies rather than firefighting
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