Case Study: a leading telecom company achieves 62% content ROT reduction with Shelf

Leading Telecom Company cuts content ROT 62% with Shelf

The customer, a leading telecom company, was struggling with a vast amount of ungoverned content, including over 25,000 documents that were redundant, outdated, or trivial. This poor data quality hampered productivity and blocked their AI transformation, as their teams could not find reliable answers and traditional metadata was insufficient for their ambitions. They turned to the Shelf platform for a solution.

By implementing Shelf's Knowledge Management System and Content Intelligence platform, the company established robust governance, semantic metadata, and access controls. The results were significant, including a 62% reduction in content ROT and the streamlining of their document library from 25,000+ to 9,500 AI-ready assets. Shelf's solution dramatically improved search success rates and established a secure, reliable foundation for AI deployment.