Solving....
During the COVID-19 emergency, a U.S state struggled to accurately forecast demand and supply of personal protective equipment (PPE), risking stock shortages in hospitals and disrupting emergency medical responses.
ML-Driven Hospital Supply Optimization
Eviden partnered with the U.S state to implement a machine learning-based forecasting model using historical and dynamic healthcare data.This model predicted PPE demand across hospitals,optimizing stock levels and preventing shortages.Leveraging Cloud AI and advanced ML algorithms, Eviden helped improve procurement planning, enhance resilience, and ensure PPE availability during critical moments. The solution enabled better emergency prepardness through data-driven inventory and demand managment .
HEALTHCARE DEMAND
PREDICTION