AI-powered PLM can reduce the time teams spend searching for information, reviewing documents, and understanding product changes. Engineering, manufacturing, quality, and supply chain teams can use AI to quickly access relevant information from controlled product records.
AI can help users find records related to engineering changes, summarize change information, compare revisions, and identify affected parts, BOMs, drawings, specifications, and suppliers. Human review remains important because product changes can affect quality, cost, compliance, and manufacturing.
AI-powered PLM and quality management system (QMS) processes enable teams to better understand the relationships among engineering changes, quality events, parts, suppliers, and documentation.
AI can help teams search and summarize nonconformance, corrective and preventive action (CAPA), supplier, and other quality records within a QMS. It can also help identify related product information when investigating quality issues.
AI should support established QMS processes rather than replace required reviews, approvals, investigations, or human judgment.
AI can help users search product information, summarize engineering changes, compare records, review documents, and find relevant product information using natural language.
AI can help further connect product and quality information across PLM and QMS solutions, including engineering changes, nonconformances, CAPAs, supplier issues, and related product records.
When using AI to help manage product development processes, trusted information within a PLM system is necessary to provide AI with accurate, up-to-date, and controlled product information, improving the relevance and reliability of AI-generated results.
Arena PLM software streamlines product development so you can deliver products under budget and ahead of schedule.
Arena QMS helps you ensure regulatory compliance and faster delivery of life-enhancing products to your customers.
