How operators find revenue leaks in their stores
Each example below is a real scenario. The leak patterns are ones we see over and over: 3PL accessorial creep, cost-per-order drift, carrier SLA slippage, stuck-order backlogs, and returns booked as revenue. They show up in most mid-market stores. We reference Shopify, ShipStation, Stripe, and 3PL invoice formats because that’s where the data lives. The patterns themselves work the same on any platform.
Beauty brand: $85,720/year recovered from discount code stacking
A $3.2M DTC beauty brand on Shopify had 6 active promo codes. 19% of orders carried two stacked against policy. 
Halia surfaced the pattern in 6 days; tightened rules recovered $7,143/month.
$84K/year hidden in routing drift between two 3PL warehouses.
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.
How a home goods brand recovered $185K/year from carrier routing drift.
A $15M home goods brand was routing 87% of Zone-8 orders to the most expensive of three regional carriers - for 14 months after a rate-card update flipped the math. Halia surfaced the mismatch in 6 days; rebalanced routing recovered $15,400/month.
How a wellness subscription brand recovered $115K/year from quiet COGS drift.
An $8M wellness subscription brand watched gross margin compress 12 points on 6 hero SKUs over a quarter. Halia joined supplier invoices to subscription orders, surfaced the drift in 14 days, and the brand renegotiated to recover $9,600/month.
How a DTC apparel brand recovered $137K/year from a refund spike on 3 SKUs.
A $3M Shopify apparel brand saw refund rate climb from 5.0% to 8.4% in 8 weeks. Halia surfaced 3 SKUs in size M driving 47% of refunds; the brand re-tagged in 14 days and recovered $11,400/month.