Repair Notes Analysis Solutions

Systematic analysis of warranty claims and repair notes can help manufacturers identify key drivers of the cost of their warranty program, speed up the detection of emerging issues and the prediction of recalls, determine root causes of problems, and enhance the integrity of their dealer network. Warranty data represents a combination of structured fields and free text capturing customer complaints and repair notes. Both these types of data are equally important. However, the analysis of textual notes encountered in millions of claims poses a real challenge, preventing timely resolution of the listed tasks.

How it works

Through advanced analysis of textual data the solution extracts combinations of encountered issues, the related parts and structural elements of the product, and the determined root causes (when these bits of information are present). Then it runs joint analysis of these newly created data points along with the original structured attributes to deliver actionable insights about key problems associated with specific products, the associated warranty repairs cost, and typical mileage or use time when these problems occur.

Using a combination of text analytics, distribution analysis, and machine learning techniques, the solution can help solve important tasks:

1. Reveal the time and mileage-based evolution of key drivers that contribute most to repair costs
2. Determine the optimal length and cost of the warranty program on different modules
3. Isolate issues by product types, detect emerging issues, and predict recalls early