Warranty management has traditionally relied on rules-based systems, which can be inflexible and costly to maintain. Machine learning offers a more agile approach to warranty management.
The use of machine learning in warranty management involves training algorithms on historical data to predict warranty claims, detect patterns, and optimize service levels.
One key benefit of machine learning in warranty management is its ability to identify high-risk products and prioritize maintenance efforts accordingly. By analyzing customer feedback and usage data, companies can proactively address potential issues before they become major problems.
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Machine Learning In Warranty Management
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