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Customer-Signal Research from 60,000+ Support Tickets
Used NLP topic modeling to transform large-scale support-ticket data into customer intelligence, surfacing recurring pain points, product issues, user needs, and operational improvement opportunities.

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Project Overview

Implemented and deployed NLP-based topic-modeling pipelines that automatically categorize ≈ 60 000 SAP product-support tickets each year, surface recurring issues, and pinpoint root causes.

  • Delivered self-serve dashboards that give engineering and ops teams near-real-time insight, into cost and operational efficiency KPI.
  • The resulting transparency drove targeted bug-fix and self-help initiatives that lowered support overhead by multiple millions of dollars annually and continue to guide ongoing cost-reduction programs.