Key takeaways
- The five questions a healthcare inventory system needs to answer: what to order, how much, where to source it from, when, and how much to pay
- How the platform's order manager surfaces a prioritized action list, in the demo flagging 17 items to order from three suppliers alongside a calculated supplier risk score
- How that risk score is built from historical delivery, cancellation, and defect data, explainable enough to show why one supplier is recommended over another
- How the inventory manager view flags under-stock, over-stock, and near-expiry items against optimal levels, giving managers a single view to act on
- How demand and supply simulators, built on open-source tools like SimPy and Synthea, let teams model scenarios such as a sudden local outbreak before it happens
- Why the system is designed as a semi-autonomous, human-in-the-loop recommendation engine today, with full automation and direct hospital system integration as the longer-term goal
Overview
COVID-19 exposed how fragile healthcare supply chains are, from vaccine cold-chain logistics to multi-country raw material sourcing. In this session, Arogya.ai's Vijay Saraswat Shetty and H2O.ai's Chetan and James Orton demo a joint platform, built on the H2O hybrid cloud, that answers five inventory questions: what to order, how much, from whom, when, and at what price. They walk through live order manager and inventory manager apps, including a supplier risk score built from historical delivery, cancellation, and defect data, plus demand and supply simulators used to stress-test scenarios like a sudden outbreak.