Harvard Business Review November 2, 2020
According to a March survey conducted by the Institute for Supply Chain Management, nearly 75% of U.S. companies reported supply chain disruptions due to coronavirus-related issues.
Before the pandemic, supply chain resiliency in most industries hadn’t been seriously tested, at least not to the extent that it has recently. Today, the definition of supply chain resiliency has morphed dramatically to include geographic diversification, visibility, and surplus capacity for everything from raw materials to finished goods.
What organizations needed at the pandemic inception—and will continue to need—is a reliable way to predict Covid-19 cases as well as their current supply levels, product burn rates, and sourcing challenges.
With the right technology and data, this is possible. Here are four ways technology...
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