Description
Post-crisis impact assessment using machine learning (ML) allows companies to measure the effectiveness of their response to a crisis and evaluate its long-term effects on brand reputation, customer loyalty, and financial performance. By analyzing a combination of internal and external data—such as media coverage, customer sentiment, sales data, and employee feedback—AI tools can provide a comprehensive analysis of the crisis’s impact and help inform recovery strategies.
This post-crisis analysis helps organizations understand what went wrong, how well they responded, and what can be improved for future crisis management. It also enables organizations to track recovery progress and adjust strategies to rebuild brand reputation and stakeholder trust.
