A self-serve returns flow that halved support tickets.
ReturnLoop is a self-serve returns portal that looks up an order automatically, applies the store's own return rules, issues a shipping label, and confirms a refund timeline — without a support agent touching the request unless it falls outside policy.
Returns weren't a support problem. They were a process that had only ever been designed around one person's inbox.
The client is an online store whose return volume grows with every good sales month. Every return ran through the support inbox: find the order, check eligibility, create a label, reply — usually a day or two later and often after the customer had already chased.
Every return started the same way: a customer emailed support, someone manually looked up the order, checked eligibility, generated a label by hand, and sent a confirmation — usually a day or two later, often after a follow-up email asking what was happening. That's fine at a handful of returns a week. It breaks down the moment return volume tracks order volume, because the process was built around one person's inbox, not the store's growth.
A web application handles the customer-facing flow, a rules engine evaluates policy, and the store's existing order and shipping-carrier systems provide the order data and generate labels.
The customer enters their order details and the portal finds the order automatically — no support email needed.
A rules engine checks the store's own return policy: window, item type, condition.
Approved returns get a carrier label straight away; exceptions are routed to a person, never silently approved.
The customer receives a clear confirmation of what happens next and when.
We built a returns flow that resolves itself for the common case:
Auto-approve every return that reaches the portal.
Apply the store's own policy and route exceptions to a person.
The easy way to cut support load is to auto-approve anything that hits the portal — it removes the most friction and is the fastest to build. It also removes the one check that actually protects margin: policy exceptions, like returns past the window or on final-sale items, would get waved through with everything else. We built the rules engine to route anything outside policy to a human instead of approving it silently, which costs a little of the automation's headline speed but keeps the portal from quietly overriding the store's own return policy.
Working software early, then the full build — with the client using it at every step.
We turned the store's return policy — and the unwritten exceptions — into explicit rules.
The portal handled its first real returns end to end for the most common case.
Carrier label integration, exception routing for support, and customer confirmations.
The store can change its return rules without a developer.
The common case is where the volume is. Exceptions are where the margin is — they deserve a human.
A clear refund timeline removed a surprising share of 'where is my return?' emails on its own.
Using return reasons collected by the portal to flag products with sizing or quality issues before they turn into more returns.
Is it cheaper to handle returns with people or with an automated system?
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