Session

AI-Enabled Supply Chain Planning for Dynamic Risk Monitoring and Mitigation

This presentation covers the pressing situation of supply chain disruptions that create bottlenecks and uncertainty. The story is how advanced AI techniques can provide resilience, visibility, and proactive risk management to address these challenges.

The Situation
• Supply chain leaders are struggling to navigate risks and minimize impact proactively.
• Traditional methods are reactive and lack real-time visibility into vulnerabilities.
• Many companies experience delayed responses, lost revenue, and an inability to assess risk impact.

The Story
• AI and predictive analytics offer a proactive solution to these challenges.
• AI models can analyze data to identify patterns predictive of potential disruptions.
• Technologies like simulation can emulate scenarios to evaluate responses.
• Leading companies are using AI-based platforms to optimize logistics, track shipments, predict uncertainties, and enable agility.

Bidyut Sarkar

IBM US, Senior Solution Manager | Fellow of IET, UK |Expert Life Science & Industrial Manufacturing Industry| Applied AI/ML | Judge at Startup Competitions

Edison, New Jersey, United States

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