At Gilead, we implemented AI/ML models for global demand forecasting, supply chain optimization, and revenue projections. These data-driven insights supported CFO-level decision-making and more precise budget allocations.
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At Gilead, we implemented AI/ML models for global demand forecasting, supply chain optimization, and revenue projections. These data-driven insights supported CFO-level decision-making and more precise budget allocations.
$800K annually.
through improved operational efficiency.Used ARIMA, SARIMA, and neural networks for multi-horizon predictions.
Integrated forecasts into real-time dashboards for C-suite visibility.
resources
$400K annually.
$1M annually
$200K annually.
$600K annually.
$400K annually.