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Manufacturing leaders express optimism about the role of AI in enhancing supply chain growth. Despite this enthusiasm, less than 20% of these leaders report achieving full digital synchronization within their operations. The survey, conducted by LeanDNA and Wakefield Research, highlights the gap between potential and current implementation of AI technologies.
The findings suggest a significant opportunity for companies to leverage AI for improved logistics and operational efficiency. As the industry moves towards more proactive supply chain strategies, the integration of AI could be a game-changer. However, the challenge remains in overcoming the barriers to full digital synchronization.
• Manufacturing leaders show optimism about AI's role in supply chain growth.
• Less than 20% have achieved full digital synchronization in operations.
Digital synchronization refers to the alignment of data and processes across supply chain systems, which is crucial for operational efficiency.
Proactive logistics involves anticipating supply chain needs and challenges, allowing for more effective management and resource allocation.
Artificial intelligence encompasses technologies that enable machines to perform tasks that typically require human intelligence, such as decision-making and problem-solving.
LeanDNA specializes in supply chain analytics and optimization, providing insights that help manufacturers improve their operations through AI.
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