AI-powered digital twins can revolutionize supply chain planning by serving as real-time digital replicas of physical assets and processes. These virtual models use live data collection to provide immediate insights, allowing organizations to simulate various scenarios and enhance operational efficiency. This dynamic approach enables businesses to anticipate disruptions and streamline logistics, effectively improving inventory management and forecasting accuracy[3].
In terms of cost savings, digital twins facilitate better decision-making, thus potentially reducing operational costs and improving overall performance. Companies using digital twins can realize revenue increases and enhanced product quality while minimizing waste and improving sustainability in their supply chains[3].[4].
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