Reducing drug shortages: The power of AI in pharma supply chain management

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Drug shortages have long been a challenge in the pharmaceutical industry, causing significant disruptions to patient care and public health. With the advent of AI technology, there are new opportunities to enhance supply chain resilience, reduce waste, and ensure the efficient distribution of medications. AI mitigates drug shortages through improved visibility, predictive analytics, optimised logistics, and waste reduction.

AI has the potential to transform pharmaceutical supply chains by enhancing visibility and predicting disruptions. Traditional supply chains often suffer from a lack of transparency, making it difficult to anticipate and respond to issues such as production delays or transportation bottlenecks. AI-driven solutions can provide real-time insights into every stage of the supply chain, from raw material procurement to final product distribution.

For example, AI algorithms analyse data from various sources, including weather patterns, geopolitical events, and market trends, to predict potential disruptions. By identifying these risks early, pharmaceutical companies can proactively adjust their supply chain strategies to mitigate impacts. This level of foresight helps maintain a steady supply of essential medications, even in the face of unforeseen challenges.

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