Returns and Refund Processing
Validate return requests against policy, issue Stripe refunds automatically for clean cases, and route edge cases to a reviewer before money moves.
The problem
Return requests queue up for manual review even though most of them are routine, so refunds take days and support tickets pile up. Policy is applied from memory, which means inconsistent outcomes and occasional refunds that should never have been issued. When a refund is sent but the credit memo is missed, finance finds out at reconciliation.
How it runs on Neblex
A return request in Shopify starts the flow, or customers can submit one through a hosted form that feeds the same run. The flow validates the request against policy held in Data Tables: return window, item condition rules, customer history, and refund method.
Clean cases proceed automatically: the refund is issued in Stripe and the credit memo is created in NetSuite, with saga-style compensation keeping money movement and accounting consistent if one of the two fails. Edge cases, such as out-of-window requests or high-value items, route to an approval step that pauses the run while a reviewer decides from the task inbox, with SLA timers keeping response times honest.
Every refund decision, automatic or human, is recorded on a tamper-evident, hash-chained audit trail with the policy inputs that drove it. Finance can adjust the policy tables directly, and flow changes move from dev to prod through environments with promotion approvals.
Step by step
Capture the request
A Shopify webhook or a hosted return form starts the run with the order, items, and reason.
Validate against policy
Return window, condition rules, and customer history are checked against policy held in Data Tables.
Refund clean cases
For approved requests the flow issues the Stripe refund and creates the NetSuite credit memo together.
Compensate on failure
If one side fails, per-step retries and replay from the failed step complete it, and saga-style compensation reverses the other when it cannot.
Review edge cases
Out-of-policy requests pause on an approval step and appear in the task inbox with full context and SLA escalation.
Record every outcome
Decisions and their policy inputs land on a hash-chained audit trail for finance and dispute handling.
Platform capabilities used
- Webhook triggers
- Hosted forms
- Data Tables for policy
- Saga-style compensation
- Approval steps that pause the run
- Hash-chained audit trail
Common questions
What stops a refund without a matching credit memo?
The two writes run in one governed flow with per-step retries, replay from the failed step, and saga-style compensation. A run cannot half-finish silently; it either completes both sides or surfaces for action with its state preserved.
Can customers start a return without contacting support?
Yes. A hosted form can start the flow directly, collecting the order number, items, and reason. The same policy checks and routing apply regardless of how the request arrives.
How do we tighten policy during peak season?
Policy values such as return windows and auto-refund limits live in Data Tables that authorized users edit directly. No flow change or redeploy is needed, and edits are governed by role-based access.
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Want this running on your stack?
Neblex Integration Fabric is in beta: full platform, free while in beta. Bring this workflow and we will map it to your systems.