AI Applied Radar: AI Applied To Supply Chain Resilience
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Executive Summary
This report provides a comprehensive assessment of AI-augmented use cases for supply chain resilience, enabling relevant leaders to assess each use case’s trustworthiness, business value and operational viability. The Verdantix AI Applied Radar evaluates an array of AI-driven solutions, utilizing proprietary information obtained from expert interviews, global surveys and technical review. Verdantix segmented use cases based on levels of market adoption and tech availability, spanning mainstream and commercialized applications such as machine learning (ML)-driven demand sensing, to emerging areas such as agentic multi-step workflow automation and task execution. The Radar provides actionable insights for sustainability leaders and vendors seeking scalable, high-impact AI adoption.
Figure 1. AI Applied Radar for supply chain resilience
Figure 2. AI Applied Radar use case groupings
Figure 3. Description of mainstream AI-augmented use cases
Figure 4. Additional details on mainstream AI-augmented use cases
Figure 5. Description of AI-augmented use cases worthy of piloting
Figure 6. Additional details on AI-augmented use cases worthy of piloting
Figure 7. Description of AI-augmented use cases that are continuing to emerge
Figure 8. Additional details on AI-augmented use cases that are continuing to emerge
About the Authors
Aleksander Milligan
Analyst
Aleks is an Analyst at Verdantix, specializing in enterprise AI adoption. He advises technology vendors and corporate buyers on GenAI integration and LLM market trends, the AI...
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Chris Sayers
Senior Manager
Chris is a Senior Manager at Verdantix. His current research agenda targets enterprise AI integration and adoption, AI market trends and agentic AI. Chris joined Verdantix in ...
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