Description
Global sourcing strategy optimization uses machine learning to evaluate and enhance sourcing strategies across different regions. By analyzing variables such as cost, supplier reliability, trade regulations, and geopolitical risks, machine learning models help procurement teams identify the best sourcing locations and strategies. This data-driven approach enables organizations to minimize costs, ensure supply chain resilience, and adapt to changing market conditions.
