What is Warranty Management?

Warranty management refers to the process of identifying, assigning, and tracking warranty claims. It involves collecting and analyzing data on customer usage patterns, equipment failures, and other relevant factors to determine when repairs or replacements are needed.

How are We Managing Warranty Nowadays?

In recent years, warranty management has become increasingly complex with the rise of new technologies and shifting customer expectations. Today's warranties often include a wide range of features and conditions that require careful analysis to determine when repairs or replacements are needed.

Machine Learning and Warranty Management

Machine learning algorithms can be used to analyze data on warranty claims, identify patterns, and predict when repairs or replacements are likely to be required. This enables businesses to make data-driven decisions about warranty policy development, pricing, and customer service.

Case Study: Machine Learning in Warranty

A leading automotive manufacturer implemented a machine learning-based warranty management system that used natural language processing (NLP) to analyze customer complaints and identify patterns. The system was able to predict when repairs were likely to be required, resulting in significant cost savings for the company.