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AI Is the Key to Surviving Supply Chain Challenges in 2025
- Supply chain challenges faced by organizations include geopolitical conflict, extreme weather, resource scarcity, and cybercrime that are expected to persist in 2025 and beyond.
- To mitigate these challenges, AI can help to identify diversification opportunities to highlight risk and probabilistic solutions.
- It can also predict and prevent supply and demand issues before they arise by adjusting inventory levels automatically according to predicted customer trends, logistics events, and fluctuations in suppliers’ production capacity.
- Cutting-edge AI tools can simulate how supply chain networks may respond to various situations or model how operational changes will impact the overall system - scenario modeling is expected to gain popularity in the coming years.
- AI can accelerate cybersecurity responses with automatic network monitoring to detect and fix cybersecurity risks before cybercriminals can exploit them. It can also warn IT teams of potential vulnerabilities and suggest fixes.
- AI can help organizations maximize productivity and offset the impact of supply chain disruptions by enabling faster, more cost-efficient workflows, and higher uptime and lower costs for manufacturers.
- As global supply chains continue to face new and considerable obstacles, organizations must capitalize on AI technology to become more resilient and competitive in the long run.
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