Strategic Focus: Innovations In Quality Management Systems
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Executive Summary
Innovation in quality is defined by interest in practical applications that deliver measurable business value. As regulatory requirements and oversight continue to increase, organizations are finding that effective use of AI depends as much on reliable, connected quality data as on the technology itself. While technologies such as digital twins and generic AI remain overhyped for many quality use cases, targeted solutions for complaints management, corrective and preventive actions (CAPAs), root-cause analysis (RCA) and defect detection are demonstrating tangible returns. This report will support quality executives and supply chain leaders in defining their investment strategies for quality management solutions over the next two years.
Figure 1. Barriers to the successful adoption of AI for quality management
Figure 2. Adoption of quality management AI use cases over the next two years
About the Authors
Katia Makshanova
Senior Analyst
Katia is a Senior Analyst at Verdantix, specializing in EHSQ software and digital strategy. She helps corporate leaders and technology vendors navigate the evolving software l...
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Nathan Goldstein
Senior Manager
Nathan is a Senior Manager at Verdantix, specializing in EHS software and the convergence of sustainability, EHS and operational risk. He leads research that helps corporate d...
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