The pharmaceutical industry operates at the nexus of precision and urgency, where misaligned demand forecasts can have far-reaching consequences—both on patient health and supply chain efficiency. Demand sensing, an advanced predictive analytics technique, is emerging as a transformative tool to address the challenges of unpredictability in this sector. The Critical Need for Demand Sensing in Pharma Pharmaceutical supply chains are uniquely complex, involving strict regulatory compliance, temperature-sensitive products, and volatile demand influenced by external factors such as pandemics, seasonal illnesses, and geopolitical events. Traditional forecasting methods, which rely heavily on historical sales data, often fail to capture real-time market dynamics. For instance, during the COVID-19 pandemic, the demand for immunity-boosting supplements like Uprise D3 skyrocketed, while medications like Hydroxychloroquine faced erratic demand spikes driven by global health policies. In such scenarios, reactive forecasting proved insufficient, leading to either stockouts or overstock scenarios, each with significant
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