Time-Series Forecasting for a Supply Chain Analytics Firm
Problem Statement A leading supply chain analytics firm was facing severe inefficiencies in predicting product demand and inventory management. Their existing forecasting system relied on traditional statistical models like ARIMA and simple moving averages, which struggled to handle: The firm needed an advanced machine learning (ML)-driven
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