Description
Warranty policy optimization involves using AI to analyze product performance data, customer feedback, and claims history to make data-backed adjustments to warranty terms. This approach helps companies offer competitive and customer-centric warranty policies while managing risk and cost-effectively. Machine learning models can identify patterns in claim trends and customer sentiment, providing actionable insights for policy improvements.
