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Amgen

Summary


 We developed and deployed machine learning models to refine demand forecasting and inventory optimization in Amgen’s pharmaceutical supply chain. These efforts minimized stockouts, cut waste, and improved overall operational planning.

    Conservative Savings

    $1M annually

    through improved operational efficiency.

    Technical Approach

    Time Series Forecasting

    Leveraged ARIMA, Prophet, and LSTM for dynamic drug demand predictions.

    Optimization Algorithms

    Used linear/mixed-integer programming to recommend optimal inventory levels.

    Additional Sales Insights

    • Shows how AI mitigates disruptions in a regulated pharma environment.

    • Executive dashboards offer real-time cost, inventory, and risk monitoring.

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