Harnessing AI for Supply Chain Resilience in Extreme Conditions

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Harnessing AI for Supply Chain Resilience in Extreme Conditions

Extreme weather poses significant challenges to supply chains, leading to operational disruptions and material shortages. Organizations face changes in buying patterns and increased demand for agility in delivery capabilities. To combat these issues, proactive measures supported by artificial intelligence are essential for maintaining customer satisfaction and reducing risks.

Building a resilient operating model involves breaking down supply chains into individual processes and ensuring operational transparency. AI plays a crucial role in enhancing process visibility and efficiency through techniques like process mining. By integrating AI insights with human knowledge, organizations can create adaptable frameworks that respond effectively to external disruptions.

• 89% of organizations face disruptions due to technology-related issues.

• AI-driven process modeling enhances operational resilience and efficiency.

Key AI Terms Mentioned in this Article

Process Mining

Process mining is crucial for enhancing transparency and operational efficiency in supply chains.

Operational Resilience

Operational resilience is essential for maintaining supply chain functionality during extreme weather events.

AI-Driven Process Intelligence

AI-driven process intelligence helps organizations visualize workflows and predict impacts of disruptions.

Companies Mentioned in this Article

Software AG

Software AG's AI-driven technologies support organizations in building resilient supply chains.

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