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How does raw material optimization reduce risk?

Flowlity recognized as Gartner Cool Vendor 2025 in supply chain planning
Answer:

By aligning inventory policies with uncertainty and anticipating shortages earlier. Raw material optimization works on two levers at the same time. First, it sizes buffers per item to the actual demand and lead time variability rather than to a blanket coverage rule, so working capital concentrates where it genuinely protects production. Second, it surfaces early signals of coverage risk, allowing planners to escalate or reallocate while options still exist. Both levers compress the gap between disruption and response, which is where most of the risk cost lives. The result is steadier line feeding at lower total inventory, even when supplier reliability and demand patterns shift.

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