Drug waste is a logistics failure dressed as a clinical problem. Stock expires in one warehouse while another facility runs short. Cold chain breaks silently. Price benchmarks stay locked in a binder nobody updates.
For Guyana's Ministry of Health we shipped FEFO tracking, AI-driven redistribution of near-expiry stock, cold chain monitoring, and WHO/PAHO price benchmarking — across a network that includes 400+ facilities when you count the full distribution graph.
Interoperability or nothing
Interoperability across EHR, warehouses, and pathology isn't a nice-to-have. Without it, every "AI insight" is stranded. The model can recommend a transfer, but if the warehouse system cannot execute and verify GS1 identifiers, you have generated a suggestion, not an outcome.
When the budget is measured in hundreds of millions, small percentage improvements in waste are national outcomes.
Near-expiry redistribution only works when freshness, location, and demand are in the same decision loop. That loop is what we build. The dashboard is how humans supervise it.
Healthcare AI that cannot move inventory is presentation software. Ship the movement.