Multi-warehouse routing and cost visibility
Running more than one warehouse should mean shorter delivery times and lower shipping costs, since orders can be fulfilled from whichever location is closest. In practice, many businesses with multiple warehouses still route every order through habit or convenience rather than through an actual cost or speed comparison.
Why routing decisions default to habit
Without a system comparing options, the easiest decision is usually "fulfil from the warehouse we always use," even when a closer location would ship faster or cheaper for a specific order. This isn't a lack of awareness — the team usually knows multiple warehouses exist — it's that comparing them for every order isn't practical to do manually at any real volume.
What routing by cost and speed actually requires
A rule, applied automatically at the point of order: given this delivery address and this item's availability across warehouses, which location minimises cost or delivery time, within whatever constraints matter (stock availability, minimum order thresholds, carrier agreements). This doesn't need to be a complex optimisation engine — even a simple nearest-available-stock rule captures most of the benefit over defaulting to one warehouse by habit.
The visibility piece that's often missing
Beyond routing a single order well, aggregated cost visibility — which warehouse-to-destination lanes are consistently expensive, which products are being shipped further than necessary because of where stock happens to sit — turns a one-order-at-a-time improvement into a genuine network design conversation.
We build routing rules that compare real warehouse options at the point of order, and the aggregated reporting that turns individual routing decisions into network-level insight.
Frequently asked
Running more than one warehouse should mean shorter delivery times and lower shipping costs, since orders can be fulfilled from whichever location is closest. In practice, many businesses with multiple warehouses still route every order through habit or convenience rather than through an actual cost or speed comparison.
A rule, applied automatically at the point of order: given this delivery address and this item's availability across warehouses, which location minimises cost or delivery time, within whatever constraints matter (stock availability, minimum order thresholds, carrier agreements). This doesn't need to be a complex optimisation engine — even a simple nearest-available-stock rule captures most of the benefit over defaulting to...
We build routing rules that compare real warehouse options at the point of order, and the aggregated reporting that turns individual routing decisions into network-level insight.