Most inventory problems are not problems of quantity. They are problems of position. The total stock in the network may be exactly right, and still, one depot sits on months of excess while another runs dry on the same SKU. The aggregate looks healthy. The operation is firefighting.
The gap between excess and shortage is closed the expensive way: inter-depot transfers and expedited shipments. Stock is trucked from where it accumulated to where it’s needed, at a cost that erodes the margin the inventory was meant to protect. And because the imbalance rebuilds every cycle, the firefighting peaks at month-end, every month.
Inter-depot transfers are not a supply chain strategy.
The root cause is single-echelon thinking. Each location sets its own safety stock in isolation, optimising for its own service level without visibility into the rest of the network. Nobody is optimising the network as a whole, so stock ends up where it was convenient to place it, not where demand will actually pull it.
Total network stock looks right. One node sits on excess while another runs dry on the same SKU. The aggregate hides the imbalance.
Stock is trucked from where it accumulated to where it's needed, expensive, reactive, and eroding the margin the inventory was meant to protect.
Each location sets its own buffer without visibility into the network. Single-echelon logic optimises the node and pessimises the whole.
Stock is placed on historical averages, not on the sales orders already in the pipeline. It sits where it was convenient, not where demand will pull it.
Because nothing optimises the network as a whole, the excess-and-shortage pattern reforms after every correction. Firefighting peaks at month-end, every month.
The stock isn't too much or too little. It's in the wrong place, and nothing is optimising the whole.
Oritiq's multi-echelon inventory optimization software treats the network as one system, not a collection of independent locations. It calibrates safety stock, coverage, and positioning across every echelon at once (accounting for service targets and pending demand) so stock lands where it will actually be consumed, and the transfers stop.
Single-echelon logic sets safety stock location by location, each optimising in isolation. Oritiq optimises the buffer across every echelon at once (factory, regional hub, distribution centre, depot) so the network holds the right total stock in the right positions, rather than the sum of locally-sensible but globally-wasteful buffers.
The result is lower total inventory at a higher network service level, because the buffer is placed where it protects the most demand, not spread thin across every node.
Not every SKU-location deserves the same service level. Oritiq calibrates positioning against the service target and coverage-day policy that each SKU-location actually needs (differentiating the fast-moving, high-value lines from the long-tail) so inventory investment follows the demand that matters.
The service-level-versus-inventory trade-off becomes an explicit, tunable frontier rather than a blanket policy applied uniformly across a portfolio that behaves anything but uniformly.
Positioning on historical averages puts stock where demand used to be. Oritiq positions stock against where demand will pull it, factoring the sales orders already in the pipeline, not just the statistical forecast.
When a large order is pending at a particular node, the engine positions to serve it before the shortage forms. Stock is placed where demand will pull it, not where it was convenient to put it; the firefighting is pre-empted, not reacted to.
Optimised positions only hold if replenishment maintains them. Oritiq drives replenishment planning from the network-optimised targets, triggering the right replenishment at the right node before the imbalance forms, rather than reacting to it after.
Because the network is rebalanced proactively, the expensive inter-depot transfers and expedited shipments fall away. Replenishment does the work that firefighting used to, quietly, in advance, and at a fraction of the cost.
Optimises the buffer across every echelon at once (factory, hub, DC, depot) for lower total inventory at a higher network service level. No more locally-sensible, globally-wasteful stock.
Calibrates the service target and coverage-day policy per SKU-location. Fast-moving, high-value lines are treated differently from the long tail; investment follows the demand that matters.
Positions stock against sales orders already in the pipeline, not just historical averages. When a large order is pending at a node, the engine positions to serve it before the shortage forms.
Drives replenishment from network-optimised targets: the right trigger at the right node before the imbalance forms, so transfers and expedites fall away.
Makes the trade-off explicit and tunable: see exactly how much service each unit of inventory buys, and where the network sits on the efficient frontier.
Right stock, right place, right time, optimised across the network, not one node at a time.
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