Outdoor gear brand: $84K/year recovered from warehouse routing drift
A $12M outdoor brand had been routing 31% of orders to a warehouse 2.4× more expensive than the alternative. 
Halia surfaced it in 6 days; the brand rerouted in two weeks.
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31% of orders → 2.4× cost.
32,000 monthly orders, two 3PL warehouses, one cost-per-pick that was 2.4× higher than the other. The routing rules never caught up with the inventory mix — for three years.
Cost-per-pick by warehouse
60-day average across both 3PL invoices.
West Coast share: 31% → 14%
Two weeks of rebalance — rules rewritten to optimise for cost-per-order.
How this brand found their $84,000.
Four stages, 30 days. From flat-margin mystery to recovered cash and a drift detector watching for the next imbalance.
Setup
A $12M outdoor DTC brand running 32,000 orders/mo across two 3PL warehouses. Three years of steady growth, stable margin, customer reviews strong. The CFO’s P&L showed no surprises.
Discovery
Within 6 days of connecting Shopify, ShipStation, and ShipBob, Halia surfaced that 31% of orders were routing to a warehouse 2.4× more expensive per pick ($3.20 vs $7.80). Routing rules predated the current inventory mix — nobody noticed when SKUs shifted.
Fix
Two weeks of operational changes:
- Rebalanced SKU placement so high-velocity items lived in the cheaper warehouse
- Rewrote routing rules to optimise for warehouse cost-per-order, not regional proximity
- Set up a Halia drift detector to flag the imbalance if it returned
Result
$84,000/year in pick-pack labor recovered, plus $12K in reduced packaging overhead. West Coast volume share dropped 31% → 14%. Three months later, the drift detector caught a similar imbalance returning — before the cost re-accumulated.
From data connection to $84K confirmed in 30 days.
Halia surfaced the imbalance within a week of being connected and the drift detector keeps watching for repeats after the fix.
Halia joined warehouse cost data with order routing decisions.— From the operator engagement notesFind this exact leak on your store in 5 minutes.
Connect your stack — Halia surfaces where your margin is leaking before the monthly P&L close.
You probably have a version of this leak if…
The same pattern shows up in roughly 70% of mid-market DTC operators we look at. Four signals to check first.
2 or more 3PL warehouses
You route by geography rather than cost-per-order.
Flat cost-per-order line
CPO hasn’t moved for six months, but inventory mix or carrier zones have.
Aging routing rules
They predate your last major SKU expansion or 3PL renegotiation.
Stable but flat margin
P&L looks fine but you can’t point to a single line that’s actually growing.
Questions operators ask about warehouse routing drift
What is warehouse routing drift?
Routing drift happens when the order-routing rules in your OMS or 3PL platform stop matching the real cost-to-serve picture. The rules were written for one inventory mix or fee structure; over time SKUs move, accessorial fees change, or one warehouse gets cheaper pick rates, and the rules quietly route a growing share of orders to the more expensive warehouse without anyone noticing.
How is true cost-per-order calculated?
Real CPO joins three datasets most ops dashboards keep separate: the 3PL invoice (pick, pack, accessorial, dim-weight, fuel surcharges), the order data from Shopify or your OMS (SKUs, weight, destination zone), and the carrier billing file. Most native dashboards under-report CPO by 30–50% because they show carrier rate-card cost only, excluding the 3PL warehouse line items.
How long does the rebalance take?
In this scenario, two weeks: one to rebalance SKU placement (move high-velocity items to the cheaper warehouse) and one to rewrite the routing rules to optimise for cost-per-order instead of regional proximity. Detection itself was 6 days from data connection.
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