Case Study: a global rideshare and delivery giant achieves GenAI-ready content and fewer live support interactions with Shelf

a global rideshare and delivery giant fixes 100k+ content issues with Shelf

A global rideshare and delivery giant was struggling with a tech stack that could not support its C-suite's GenAI initiative to reduce live customer support interactions. They were unable to govern over a million files with thousands of daily updates, leading to poor data quality that made their GenAI efforts unscalable and ineffective.

The company deployed Shelf to create a content quality assurance layer. Shelf scanned content in real-time across hundreds of criteria to identify and fix issues, systematically eliminate redundant and obsolete content, and apply missing context. As a result, they fixed over 100,000 content issues and are now on track to achieve a 90% reduction in live customer service interactions. Shelf unlocked the ROI of their GenAI bot investments.

Global Rideshare & Delivery Giant