Exceeded targeted cost reduction objective by 7.5% with 98% classification of vendor spend in organized categories
The client was a large government entity in one of the largest US cities, spending over 15B annually across tens of thousands of suppliers. The client had a strategic initiative to expand spending with small and under privileged supplier. Client data was housed in a decade-old custom developed application, and reporting capabilities were very limited.
ElectrifAi’s spend analytics capability with ML-based categorization was deployed across decentralized procurement entities.