Global Rideshare & Delivery Giant
Deploys Shelf Transforming 100k+
Content Issues into GenAI-Ready Data
100,000’s
identified and fixed
content issues
content issues
0%
redundant, obsolete
and duplicative content
and duplicative content
Challenge
The company was struggling with a tech stack unable to support the C-suite’s GenAI initiative to dramatically reduce the volume of live customer support interactions. They were unable to govern content due to the volume of over 1M files and the frequency of change being thousands of updates per day. Despite various efforts to improve data quality issues, they failed to identify all the issues that led to poor answer quality. As a result, their efforts to create GenAI content became completely unscalable and limited in their effectiveness.
Solution
They deployed Shelf to:
- Create a content quality assurance layer to scan for issues across hundreds of business-specific criteria.
- Identify content issues at scale, and in real-time.
- Eliminate ROT across variety of content sources.
- Systematically apply missing context to
- Unlock the ROI of GenAI bot investments.
Impact
The company is now on track to achieve a 90% reduction in live customer service interactions.
“Shelf is the only solution that gave us a way to quality assure our content, so it’s truly ready for GenAI use.”
Discover how Shelf enables RAG success with clean and enriched data
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