Case Study: a leading TRM platform achieves 30% better search relevance with V2Solutions' NLP-powered search

Leading TRM Platform boosts search relevance by 30% with V2Solutions

The customer, a leading TRM platform, provides a talent relationship management system used by recruiters. Their challenge was a rigid, keyword-based search engine that delivered incomplete results and forced users into slow, filter-driven workflows. V2Solutions was engaged to rebuild this critical search functionality.

V2Solutions implemented an NLP-powered search engine that interprets natural language queries, extracting entities like skills and seniority to improve result relevance. This solution led to a 30% increase in search relevance and a 20% higher user satisfaction rate by significantly reducing the time recruiters spent refining their searches.