Multi-Echelon Inventory Optimization.

MEIO optimizes inventory across the entire network at once — plants, DCs, hubs, and customer-facing nodes — instead of node by node. NexliOne MEIO sets buffer levels that hold service-level targets at the customer-facing node while pooling variance further upstream where it belongs.

Variance pooling moves uncertainty upstream where it can be hedged across more downstream nodes. The same total service level is achievable with less aggregate inventory because variability isn't double-counted at every tier — a meaningful working-capital reduction in deep networks.

Yes. Service-level targets are optimized as a network problem rather than independent node-level problems. The optimizer trades off inventory at intermediate echelons against the customer-facing service-level commitment.

Yes. Postponement modeling lets you delay the commit point in the BOM — holding generic inventory upstream and finishing only at the demand signal. The optimizer evaluates whether the postponement structure beats holding finished goods.

Single-echelon planning sets safety stock per node in isolation, which over-estimates variability in deep networks. MEIO solves the network as one system — bias and error decomposition surface where the real variability is, and inventory is allocated to the tier that actually absorbs it.