Supply Chain

Scenario Planning at Scale: Using ML to Simulate Supply Chain Shocks and Responses

COVID-19 is resurging in many Indian cities. In today’s volatile global economy, supply chains face unprecedented disruptions from pandemics, geopolitical tensions, climate change, and shifting consumer demands. Traditional scenario planning methods often fall short in addressing these complexities.
Machine Learning (ML) offers a transformative approach, enabling organisations to simulate diverse scenarios, anticipate potential shocks, and devise proactive responses. This whitepaper delves into the integration of ML in large-scale scenario planning, highlighting its methodologies, benefits, challenges, and real-world applications.






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