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The article discusses how organizations, particularly in the electronics industry, are leveraging AI to enhance supply chain resilience. Following the disruptions caused by the pandemic, companies are implementing generative AI technologies to improve demand forecasting and overall supply chain management. This shift is driven by the need for more intelligent, automated, and data-driven operations.
Key strategies include unifying scattered data, synthesizing internal and external data streams, and fostering collaboration across supply chains. By utilizing AI-driven models, companies can identify patterns and correlations that lead to more accurate demand predictions. The article emphasizes the importance of proactive measures during stable periods to prepare for potential future disruptions.
• Two-thirds of supply chain leaders are implementing generative AI technology.
• AI-driven analytics tools enhance demand forecasting and supply chain planning.
Generative AI is used to create models that improve demand forecasting and business processes.
Data synthesis involves combining various data sources to enhance demand predictions.
AI-driven analytics tools analyze complex datasets to identify trends and improve decision-making.
SAP specializes in enterprise software solutions, including AI applications for supply chain management.
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