Manufacturing leaders increasingly see AI as highly applicable across production, warehouse, procurement, and workforce enablement, yet many struggle to start due to skepticism and complexity. Key AI use cases include predictive maintenance, defect detection, process optimization, and demand forecasting, which boost efficiency, reduce downtime, and improve quality. To implement AI successfully, manufacturers should assess operational needs, build robust data infrastructure, partner with experts, train staff, and pilot solutions before scaling. Emerging trends like digital twins, edge AI, and autonomous systems further drive smarter, sustainable manufacturing in 2025.

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