CASE STUDY

After-sales AI Agent

Approx. 91% ticket classification accuracy, 85% fault prediction accuracy and 30%+ efficiency improvement.

Project overview

Selected product work spanning user needs, technology validation and cross-functional execution. Detailed case evidence will be added after public-release review.

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