GEP SMART
36 Case Studies
A GEP SMART Case Study
A major U.S. food and beverage company with more than $4 billion in annual revenue and 300+ brands faced fragmented supplier and spend data across multiple legacy ERPs. Duplicate vendor records, inconsistent classification of direct, indirect and finished goods, and limited supplier visibility prevented enterprise-wide spend analysis and the identification of sourcing and savings opportunities.
GEP deployed its AI-powered GEP SMART platform to consolidate historical spend, normalize and deduplicate supplier data, build parent–child linkages, and apply a client-customized taxonomy. The solution delivered enterprise-wide spend visibility, >95% classification accuracy with refreshes under three days, reduced supplier records from 62,000 to 33,000, and uncovered new sourcing and savings opportunities.
Major U.S. Food Processing Company