A global pharma company used Merciv to aggregate thousands of patient verbatims and run semiotic analysis across 4 departments.
A leading athletic apparel brand used Merciv to analyze 10,000+ reviews, benchmark 5 competitors, and identify the product feature gap driving market share loss.
A Fortune 50 retailer used Merciv’s real-time AI agents to prevent a ~$12M overstock by detecting a consumer demand shift 43% faster than traditional methods.
A top 10 U.S. beverage company cut research cycles from 18 months to 3 and reduced costs by ~87% with Merciv. 3 major studies completed in one quarter.
