improved via PO discrepancy checks.
XGB + Seasonal ARIMAX for better data capture.
Improved weekly performance with a calculated weekly index.
Controlled fluctuations expense gaps stabilized POs.
A leading US-Based healthcare provider delivering care packages and medical equipment to major hospitals and clinical centers in the U.S. NLB Services integrated AI-driven machine learning to help the organization overcame PO disruptions, achieve accurate demand forecasting, and establish a single source of truth across data.
Misalignment between Purchase Orders (POs) and actual billing from hospital partners, affecting financial accuracy.
Absence of a structured framework for detailed PO forecasting.
High variability in PO volumes within the Emergency Operations Center, limiting planning efficiency.
