Exceeded targeted cost reduction objective by 7.5% with 98% classification of vendor spend in organized categories

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The client—a leading chemical manufacturer—had no spend control in place due to overwhelming data including too much inaccessible data. Inefficient business process and lack of consistency across spend categories. Lack of visibility into spend categories. No actionable insights to control cost and savings.


ElectrifAi machine learning based product normalized, standardized and classified raw data using advanced machine learning models. Classified data resulted in efficient process which combined with actionable insights, helped renegotiating contracts suppliers. Provided ability to compare products and create development plans and capabilities to hone procurement expertise and sources enabled deeper understanding of supplier relationships.


Exceeded targeted cost reduction objective
30 days
from deployment to tangible results
classification of vendor spend